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1. 6S MODTRAN Model ID M00042 RT3 PONS a Microwave model Model Name Radiative Transfer model Water model a Snow Model a Soil model No Name Affiliations Forest Model aida Crop Model dci 1 anonynious Vegetation growth model y Expand ALL Collapse All Key words Radiative transfer Optical depth Transmittance Model Type Radiation transfer theory Latest Modified Submission Date MODTRAN is a rapid atmospheric forward model with moderate spectral resolution MODTRAN can Abstract calculate transmittance fast with good precise using band model method in 0 2 100 micron spectral region which covers UV VIS TIR Equation Fig 1 1 2 a Main interface of MODTRAN User Manual Chinese Simulation platform for remote sensing mechanism models a gt x E State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Model List Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java Atmospheric model runtime environment E Optical model 6S MODTRAN RT3 Microwave model Water model Input your data into the textarea View example input Clear all Snow Model Soil model Forest Model Crop Model Vegetation growth model Expan L Collapse All e EH E EEE Fig 1 1 2 b Running interface of MODTRAN 21 Please refer to
2. model e QCA DMRT Passive e First order model per i microwave model e High order model ive microwave EA model QCA DMRT e First order continous model Snow Model 3 ns microwave First order discontinous model E Two order discontinous model e 2 Stream iii Optical model e Ray tracing bicontinuous Gon tia e PROSPECT SAIL DMRT_AIE EE ROSE e KUUSK i 7 pacer model pas e IEM DIG x Microwave model AEM Optical Model LIBERTY e RGM SAIL TIR Soil model Optical Model HAPKE z om e Mironov Dielectric model e Dboson_ j Ein Mond e Frozen_Dielectric Crop model ee Vegetation eS e Zeli growth model Shrub model e WOFOST Global vegetation model Fig 12 The Model List page 3 4 Meta data of a model Simulation platform for x U keJ fa Vea Input model name to searc Q Atmospheric model Water model Snow Model Soil model Forest Model Crop Model Passive microwave model Active microwave model Optical Model lt PROSPECT SAIL KUUSK Row crop model 4 SCALE LIBERTY RGM SAIL TIR TRGM RAPID Vegetation growth model Expand ALL Collapse All M Simulation platform for remote sensing mechanism models Model List Atm Model Q Tw 4 User Manual Chinese de iSi Ne os Fy State Key Laboratory of Remote Sensing Science Water Model Forest Model Snow M
3. runtime environment Expand ALL Collapse All Layers 12 Add Layers Clear All Observing f Sandc Ciayc bd ts vms 18 7 20 15 1 16 02 a 187 120 15 1 112 102 18 7 120 115 1 18 10 2 187 20 15 1 14 102 a System echo gt Last request haz been cleared System echo gt The service has been switched to Frozen Dielectric System echo gt Please wait for the service to be ready System echo gt The service has been ready System echo gt ID has been retrieved 9 System echo gt The service has started and it will cost some time about 0 5 minutes System ech gt The service Froren_Dielectric has finished m Run Results Figure 4 3 3 c Calculation interface All available result files e Testl out The graph of Testl out is as follows Graph of Frozen_Dielectric 20 0 17 5 15 0 12 5 10 0 2 5 5 0 2 9 0 0 Value fre sandc clayc bd vms Downlad the graph Figure 4 3 3 d Results interface 3 Parameters fre Frequency 0 100GHz Sandc Sand content of soil 0 100 Clayc Clay content of soil 0 100 Bd Per unit volume of soil with the weight of dry soil 0 8 1 6 F cm3 ts Environment temperature lt 0 C vms The weight of per unit volume of soil water 0 0 6 5 Forest 54 5 1 Passive microwave model 1 Introduction Matrix Doubling MD algorithm is developed based on the ray tracing technique which accounts for multipl
4. snow density in g cm 3 Radius mm snow grain radius in mm Snow wetness volume fraction of liquid water content in snow layer RMS height ground surface rms height in cm Correlation length ground surface correlation lengh in cm Soil moisture ground surface volume soil moisture Snow temperature the snow temperature in C Temperature the average temperature in C Soil temperature the soil temperature in C 38 Then click on the Run button to start running the model When the calculation completed click on the Results button to see the simulation results User Manual Chinese SP Simulation platform Ven for remote sensing mechanism models State Key Laboratory of Remote Sensing Science Input model name to sea Q Model List Atm Model Water Model Forest Model Snow Model Soil Model Model List Atmospheric model Primary information Parameters References Equation Service Water model Snow Model 3 Passive microwave model Model ID M00028 Matrix Doubling l QCA DMRT Model Name DMRT AIEM MD Active microwave model Optical model No Name Affiliations Soil model Encoders Forest Model 1 Lingmei Jiang jiang bnu edu cn Crop Model _ A Vegetation growth model Key words snow DMRT MD Expand ALL Collapse All Model Type theoretic model Latest Modified 2014 7 27 0 00 00 Submission Date Abstract E
5. E Active microwave model First order continous model First order discontinous mt Two order discontinous mc Optical Model Vegetation growth model canopy depth m 0 1 5 0 Soil Moisture m3 m3 0 05 0 40 0 25 Wo H VH HV dB 11 73497 11 74982 15 88865 15 88865 RleelelerlereerFininshed Calculation deere Type y to keep working Type anything else to stop a a Expand ALL Collapse All gt Input value following the tips wa Submit Dov ad Fig 6 2 2 Operation Interface 6 2 2 Second order microwave crop scattering model 73 Introduction Second order microwave crop scattering model was coded based on MIMICS model which was developed by Prof F T Ulaby Based on phase matrix of crop scatterers and second order radiative transfer model radar backscattering coefficients from crop canopy are estimated The copyright of MIMICS model belongs to Prof F T Ulaby If any problem related to the web based application please contact Dr Du Jinyang dujyOradi ac cn Reference Ulaby Fawwaz T Richard K Moore and Adrian K Fung Microwave Remote Sensing Active and Passive Volume II Radar Remote Sensing and Surface Scattering and Emission Theory 1982 Ulaby Fawwaz T et al Michigan microwave canopy scattering model International Journal of Remote Sensing 11 7 1990 1223 1253 Usage Graphic user interface GUI of this model is shown in Fig 6 2 3 firstly click Service
6. Model List e Atm Model Primary information Parameters References Equation Service Water Model Forest Model Snow Model Model ID M00023 Soil Model Crop Model Model Name Mironov dielectric constant model Growth Model Expand ALL Collapse All No Name Affiliations Encoders 1 Peng Guo gpeng0327 gmail com Key words Soil moisture dielectric constant microwave remote sensing Model Type Theoretical model Latest Modified 2013 4 19 0 00 00 Submission Date 2013 4 19 0 00 00 The Dobson model has been widely accepted in soil moisture retrieval using microwave remote sensing The Dobson model uses Debye equation to calculate complex dielectric constant taking into account o Abstract dispersion phenomenon of soil However it doesn t consider the different dielectric properties of bound j Y water and free water Mironov et al measured the dielectric constant of bound water and free water in the soil base on the refractive mixing dielectric model In 2004 Mironov et al developed the model and defined the complex permittivity as a function of soil moisture and frequency Equation Fig 4 3 2 a Main interface of Dobson Model 50 ED Simulation platform v for remote sensing aw mechanism models State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to search Q Model List Tip if the following interface can t be displayed please try to
7. for remote sensing mechanism models A oe d X A E 3 State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Model List Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java Atmospheric model runtime environment E Optical model 6S MODTRAN RT3 EH Microwave model Water model Input your data into the textarea View example input Clear all Snow Model Soil model E tT 6 2 0 0 o o 0 0 0 0 0 0 0 000 0 00 Forest Model F 2T 5 390 000 1 200 1 100 Crop Model 1 0 0 0 0 0 0 000 0 000 0 000 0 000 0 000 100 000 3 000 180 000 0 000 0 000 0 000 0 0 000 Vegetation growth model 5890 000 6300 000 1 000 1 000 0 Expand ALL Collapse All Fig 1 1 2 d example of model input parameters 23 User Manual Chinese ge Simulation Py ETaiel gin A for remote sensing mechanism models ee YA n Ss A State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to sear Q Model List Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java p g yea p pag pag p y Atmospheric model runtime environment E Optical model 65 MODTRAN RT3 Microwave model Water model Input your
8. iii 4 Scattering fron arbitrarily oriented dielectric disks in the Expand ALL Collapse All physical optics regime D N LeVine Meneghini H Lang ks Seker Journal of Optical Society of Anerica vol 73 1255 1262 1983 5 Electromagnetic scattering fron a layer of finite length randonly oriented dielectric circular cylinders over a rough interface with application to vegetation Karan M A and A K Fung Int J of Renote Sensing Vol 9 No 6 1109 1154 1988 Please input the freqency GHz Value Range 1 40 m b Input value following the tips Submit 6 1 1 c Parameter input interface d Simulation platform for remote sensing mechanism models Model List Atm Model Water Model Forest Model Snow Model Soil Model Model List Atm Model amp Water Model w Forest Model Snow Model E Soil Model Banica narr E Service path pra Start Crop Model ini L T500 0 8851 o Expand ALL Collapse Al 1 400 57 500 0 9198 0 5102 1 400 62 500 0 9540 0 4519 1 400 67 500 0 9841 0 4068 1 400 72 500 0 9097 0 3452 1 400 77 500 0 9772 0 2780 1 400 82 500 0 8617 0 2178 1 400 87 500 0 5614 0 2472 System echo gt The service MatrixAG has finished 4 m input value following the tips 9 Download 6 1 1 d Result interface 71 3 Instruction of model Please input the freqency GHz 6 925 simulated emitted frequency Please input the soil para
9. part V parameters for forest stand 0 5 0 5 the cell size used in the building of 3D forest scene 1 number of tree species 71 43 0 07 0 2219 0 16 0 432 1 48 0 0 regression coefficients for calculating height from DBH all zero means they were given in tree lists and do not need to calculate 180000 0 28 0 number of leaves and branches per cumbic meters 14 82 4 84 dielectric constants of trunks 0 08172 the minimum tree DBH 00 slope and azimuth of terrain 0 ground surface types 0 means uniform ground surface for all ground cells 9 6 2 04 dielectric constants of ground surface 61 0 025 0 18 ground roughness given by RMS height and correlation length 2 2 means ground scattering is calculated by IEM model 0 0 means one dimensional IEM model 1 1 means Gaussion distribution is used in IEM model part VI the position and size of each tree this is the list of trees used to build the 3D forest scene 300 000000 300 000000 60 000000 width of forest stand maximum X length of forest stand maximum Y highest tree all in meter 0 000000 0 000000 begining of forest stands always set as 0 100 000000 200 000000 100 000000 200 000000 the minimum and maximum X of ROI the minimum and maximum Y of ROI 2 210835 96 938843 14 100000 8 200000 5 800000 3 250000 1 1 This is tree lists One line for each tree x y dbh cm topH m Crown_Length Crown_radius species crown shape code 0 for elipsoid and 1
10. start The model will run several minute according to the size of forest scene set in the file in_para_lidar txt The item start will change to inactive and Results will change to active when the running is completed Then click on Results the web page will appear as Fig 5 3 e Results txt gives LIDAR waveform in text format while out para gives parameters of forest structure over LIDAR footprint 62 Chinese M Simulation platform UD for remote sensing a mechanism models State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model nput mode name to se Model List Atmospheric model Primary information Parameters References Equation Service Water model Snow Model Soil model Model ID M00038 Forest Model 4 Passive microwave model Model Name Model of LIDAR returns from forest canopies SAR model 3 Lidar model I a No Name Affiliations Lidar waveform of forest Encoders Optical Model 1 Sun Guoging niwjGradi ac cn Crop Model Vegetation growth model Key words Forest LIDAR waveform Expand ALL Collapse Ali Model Type Theoretical model Latest Modified 2014 9 17 0 00 00 Submission Date 1998 11 3 0 00 00 The model was developed in 2000 by Professor Guoging Sun at University of Maryland and Professor Abstract Kenneth Jon Ranson at NASA Goddard Space flight Center It was mainly used to simulate the LIDAR wavefor
11. 68 Z 0 05 shaded background red near infrared no unit value range 0 1 section3 Multi angle parameters solar zenith angle value range 0 90 unit in the main running interface the data value is 45 solar azimuth angle value range 0 360 unit in the main running interface the data value is zero view zenith angle value range 90 90 unit negative data represents the view position is in the forward observation and positive data is in the backward observation Generally settings the view zenith angle is lower than 70 view azimuth angle value range 0 360 unit relative azimuth angle relative azimuth angle Abs view azimuth angle solar azimuth angle if relative azimuth angle is lower than 90 the view position is in the backward observation and if relative azimuth angle is higher than 90 the view position is in the forward observation 6 Crop 6 1 Passive microwave model 6 1 1 First order Model 1 Introduction The first order model simulates the passive microwave signals in terms of the energy equilibrium Compared to the zeroth order model i e w t model it consider the first order volume scattering in the vegetation So the model can be applied to denser vegetation When modeling the radiative transfer process for vegetation covered ground the vegetation layer is assumed as a mixture of dielectric scatters with different sizes shapes and certain orientations and distributions The total emission si
12. Du of State Key Laboratory of Remote Sensing Science etc in 2011 Please contact Keping Du email kpdu bnu edu cn for further information 33 References Lee Z K Du K J Voss G Zibordi B Lubac R Arnone and A Weidemann 2011 An inherent optical property centered approach to correct the angular effects in water leaving radiance Applied Optics 50 3155 3167 Du K and Z Lee 2010 Phase function effects for ocean color retrieval algorithm SPIE Remote Sensing of the Coastal Ocean Land and Atmosphere Environment 2 Brief guide Graphic user interface GUI of this model is shown in Fig 2 1 a firstly click Service tab then click Run the service link GUI of the model running is shown in Fig 2 1 b Click the Run button the model will be ran at background When you see the message which is The service BRDF QAA has finished in the information textbox the result is displayed in the same textbox as shown in Fig 2 l c P Simulation platform way for remote sensing a mechanism models State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to search Q Model List a Atm Model Primary information Parameters References Equation Service Water Model Forest Model Snow Model Model ID M00036 Soil Model Crop Model Model Name BRDF_QAA Growth Model Expand ALL Collapse All No Name Affi
13. Reference Ulaby Fawwaz T Richard K Moore and Adrian K Fung Microwave Remote Sensing Active and Passive Volume II Radar Remote Sensing and Surface Scattering and Emission Theory 1982 Ulaby Fawwaz T et al Michigan microwave canopy scattering model International Journal of Remote Sensing 11 7 1990 1223 1253 Usage Graphic user interface GUI of this model is shown in Fig 6 2 1 firstly click Service tab then click Run the service GUI of the model running is shown in Fig 6 2 2 Click the Run button to start calculation 72 State Key Laboratory of Remote Sensing Science j A X AN Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to sean Q Model List Atmospheric model Primary information Parameters References Equation Service 4 Water model Snow Model Soil model Model ID M00049 Forest Model E Crop Model Model Name First order crop scattering model Passive microwave model E Active microwave model First order continous mode 2 Encoders No Name Affiliations First order discontinous m Two order discontinous mc Optical Model Vegetation growth model Key words Scattering vegetation radiative transfer model nil Model Type Theoretical model Expand ALL Collapse All Latest Modified 2014 9 17 0 00 00 Submission Date 2006 7 12 0 00 00 Abstract Based on first order radiative transfer solution the model sim
14. Soil Model Scam ppt Service path pea Start Crop Model Growth Model Expand ALL Collapse All 4 p 5 1 b Model running interface 56 Ves Simulation platform g for remote sensing mechanism models State Key Laboratory of Remote Sensing Science Input model name to search Q Model List Atm Model Water Model Forest Model Snow Model Soil Model Model List E HAE Atm Model Water Model Forest Model Snow Model Soil Model Crop Model Growth Model Expand ALL Collapse Al Service name pes Service path d 5H 4 Scattering from arbitrarily oriented dielectric disks in the a physical optics regime D M LeVine Meneghini H Lang ks Seker Journal of Optical Society of America vol 73 1255 1262 1983 5 Electromagnetic scattering from a layer of finite length randomly oriented dielectric circular cylinders over a rough interface with application to vegetation Karam M A and A K Fung Int J of Remote Sensing Vol 9 No 6 1109 1134 1988 Please input the fregency GHz Value Range 1 40 _ T aes gt Input value following the tips Submit 5 1 c Parameter input interface Chinese D Simulation platform a for remote sensing uD mechanism models State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to search Q Mo
15. User Manual Chir 2 Simulation platform for remote sensing mechanism models ES y Model List Atm Model Water Model Forest Model Snow Model Soil Model State Key Laboratory of Remote Sensing Science Model List Atmospheric model E Optical model 6S MODTRAN RT3 Service name F Service path E tari Microwave model Water model Snow Model System echo gt Last request has been cleared System echo gt The service has been switched to 6s Soil model System echo gt Please wait for the service to be ready amp Forest Model eden Senp E Iha os has pase raeng B Crop Model ystem echo I as been retrieved 2 GEOMETRICAL CONDITIONS Vegetation growth model w Expand ALL Collapse All IGE M is in the range 0 7 igeom e gt Input value following the tips Submit Download Figure 2 Running interface of 6S model 2 Parameter GEOMETRICAL CONDITIONS name igeom value range 0 7 igeom 0 user define the geometrical parameter parameter asol phio avis phiv month jday igeom 1 7 represent these satellite respectively igeom 1 Meteosat parameter month day hour column row pixel 5000 2500 igeom 2 GOES east parameter month day hour column row pixel 17000 12000 igeom 3 GOES west parameter month day hour column row pixel 17000 12000 15 igeom 4 AVHRR afternoon parameter month day hour column 1 2048 igeom 5 AVHRR morning pa
16. cost some time about 5 0 minutes System echo gt The service Mironov has finished Fig 4 3 2 c Interface of Model running finished 51 All available result files e Mironov out The graph of Mironov out is as follows Graph of Mironov vsm dielec_constant real dielec_constant imaginar y frequency GHz clay 9 Downlad the graph Fig 4 3 2 d Results of Model running 4 3 3 Frozen Dielectric Model 1 Brief introduction The frozen soil dielectric model is developed by Prof Zhang from Beijing Normal University It was based on the phenomenon that water in soil will freeze below O C and made an improvement to Dobson model Through the measurements it can be found that with the decreasing of temperature the permittivity of permafrost is mainly associated with immobile water content in soil Since immobile water content is related with soil texture in the model the relationship between soil texture and immobile water content was developed based on the measurements In addition Debye equation was used to calculate the water permittivity The copyright of the model was owned by Prof Zhang If there is a problem please contact kou_xiaokang 163 com Reference Zhang L Shi J Zhang Z et al The estimation of dielectric constant of frozen soil water mixture at microwave bands C Geoscience and Remote Sensing Symposium 2003 IGARSS 03 Proceedings 2003 IEEE International IEEE 2
17. data into the textarea View example input Clear all Snow Model Soil model Si For T 6 2 OF 0 0 0 O 0O Bb OF O 0 000 0 00 Forest Model Fe 2T 5 390 000 1 200 1 100 Crop Model 1 0 OF 30 0 6 0 000 0 000 0 000 0 000 0 000 100 000 3 000 180 000 0 000 0 000 0 000 0 0 000 5890 000 6300 000 1 000 1 000 0 Vegetation growth model Expand ALL Collapse All At Wavenumber 2115 65 00 finished At Wavenumber 2120 70 00 finished At Wavenumber 2125 75 00 finished At Wavenumber 2130 60 00 finished At Wavenumber 2135 85 00 finished At Wavenumber 2140 90 00 finished At Wavenumber 2145 95 00 finished At Wavenumber 2150 100 00 finished V MONTRAN COMPTETEN lt gt Run Results K 1 1 2 e Model calculating interface 1 1 3 RT3 1 Brief Introduction RT3 is a numerical model that solves the polarized radiative transfer equation for a plane parallel vertically inhomogeneous scattering atmosphere It is developed by Frank Evans at Colorado State University and the University of Colorado The full polarization characteristics of randomly oriented particles with any shape having a plane of symmetry are taken into account Both thermal sources and a collimated solar source of radiation are included in the formulation The angular field of the radiation is represented with a Fourier series in azimuth angle and discretization of zenith angle The model calculates the monochromatic polarized radiation e
18. drop down menu Soil temperature in K Then click on the Run button to start running the model When the calculation completed click on the Results button to see the simulation results as shown in Fig 3 1 2 c The X axis is the observation angle in degree the Y axis is the H and V polarization microwave brightness temperature in Kelvin Click on the file names to download the results in to your local computer Model List Atm Model Water Model Forest Model Snow Model Soil Model References Equation Service M00004 Snow DMRT QCA Passive Affiliations chuan xn gmail com Snow brightness temperature QCA DMRT Physical model Model List Atm Model Primary information Parameters Water Model Forest Model Snow Model Model ID Soil Model Crop Model Model Name Growth Model Expand ALL Collapse All No Name Encoders if Xiong Chuan Key words Model Type Latest Modified Submission Date Abstract Model List Atm Model Model List Atm Model Water Model Forest Model Snow Model Soil Model Crop Model Growth Model Expand ALL Collapse All Step of incident angle Fig 3 1 2 a The GUI of the model service Water Model Forest Model Snow Model Soil Model Initial incident angle Deg 20 End of incident angle 70 1 3 Frequency GHz 18 7 2012 7 12 14 30 54 2012 7 12 14 30 54 Snow covered soil brightness temperature model based on QCA th
19. example inputting the value of wind speed 10 wind direction O incidence angel 30 and azimuth angle O the results of the model are shown in the figure 2 2 c They are the values of the VV and HH Normalized Radar Cross Section in dB estimated by the model in the above given condition Cc 210 72 27 32 8 SP Simulation platform UD for remote sensing e mechanism models A State Key Laboratory of Remote Sensing Science Primary information Parameters References Equation Service Model ID M00044 Model Name The CMODS Geophysical Model Function Name Affiliations Vegetation growth model Expand ALL Collapse All guihong liu Laugh rad ac cn Key words NRCS C band Microwave radar Model Type Empirical Model Latest Modified 2012 6 12 0 00 00 Submission Date 2005 9 13 0 00 00 The model computes C band VV HH Normalized Radar Cross Section NRCS for a specified incidence angle radar azimuth angle wind direction and wind speed a v on Abstract t d according to the CMODS geophysical model Figure 2 2 a The main interface 36 C D 210 72 27 32 85 Home Mode SP Simulation platform UI for remote sensing a mechanism models Model List Atmospheric model Water model amp Optical model Microwave model CMod5 Snow Model a Soil model Forest Model Crop Model Vegetation growth model Expand ALL Collapse All Input value following the tps Figure 2 2 b The main interface of running
20. improve the calculation precision of Rayleigh and aerosol reflection and the spectral step is improve to 2 5nm 6S model bases on radiation transmission theory and it is used widely Reference Kotchenova S Y and E F Vermote 2007 Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data Part II Homogeneous Lambertian and anisotropic surfaces Applied Optics 46 20 4455 4464 Vermote E F et al 1997 Second Simulation of the Satellite Signal in the Solar Spectrum 6S An overview Ieee Transactions on Geoscience and Remote Sensing 35 3 675 686 2 Operation Instruction 1 Begin to Run Choose the atmospheric model gt optical mode gt 6s in model list The main interface of the model is shown as Fig 1 13 for remote sensing mechanism models State Key Laboratory of Remote Sensing Science Input model name to sear Q Model List Atm Model Water Model Forest Model Snow Model Soil Model Model List 2 Atmospheric model Primary information Parameters References Equation Service E Optical model E a J 6S MODTRAN Model ID M00002 RT3 E Microwave model Model Name 6S Water model Snow Model e Soil model No Name Affiliations Forest Model Crop Model ee 4 University of Maryland Department of Geography 4321 Hartwick Vegetation growth model E Sy Rd College Park MD 20742 and NASA GSFC code 614 5 Expand ALL Collapse Al
21. microwave Canopy structure ground parameter first order radiative transfer solution Model Type Theoretical model Latest Modified Submission Date The first order model simulates the passive microwave signals in terms of the energy equilibrium Abstract Compared to the zeroth order model i e w t model it consider the first order volume scattering in the vegetation So the model can be applied to denser vegetation Equation 6 1 1 4 Model home page 70 P Simulation platform UDI for remote sensing e mechanism models Model List Atm Model Water Model Forest Model Snow Model Soil Model Model List Atm Model Water Model Forest Model Snow Model Soil Model i z sa Service name Service path Start Crop Model z Growth Model 35 0 149 8 149 4 A i 40 0 149 2 148 7 Expand ALL Collapse All 45 0 148 7 147 9 50 0 148 3 146 9 55 0 147 7 145 8 60 0 146 9 144 6 65 0 145 7 143 1 End computing Systen echo gt The service RT1 has finished mi 4 b input value following he tips 6 1 2 b Model running interface E Simulation platform UI for remote sensing a mechanism models State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model nput model name to search Q Model List a Atm Model Water Model amp Forest Model Snow Model Soil Model Senice name para Service path Ee Crop Model E i 7
22. minimize and then maximize this page to refresh this page or update your Java Atm Model runtime environment Water Model Forest Model Snow Model Soil Model Crop Model Growth Model Ss hii opine Ai Layers bs Add Layers Clear All Frequency Clay perce Soil moisture 141 20 10 02 a 141 20 0 04 141 20 0 06 141 20 0 08 pat E pa z Fig 4 3 2 b Main interface of Model Running Chinese 4 Simulation platform a for remote sensing lt P mechanism models State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model nput model name to search Q Model List Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java Atm Model runtime environment Water Model Forest Model Snow Model Soil Model Crop Model Growth Model a f Add Layers Clear All Expand ALL Collapse All a Frequency Clay perce Soil moisture E 141 120 0 02 a 141 20 0 04 141 20 0 06 141 20 0 08 7 gt Last request has been cleared System echo gt The service has been switched to Mironov System echo gt Please wait for the service to be ready System echo gt The service has been ready System echo gt ID has been retrieved 7 System echo gt The service has started and it will
23. model copyright is owning to academician Li Xiaowen For any questions please contact Song Jinling songjl bnu edu cn Reference Li X and A H Strahler Geometric optical bidirectional reflectance modeling of the discrete crown vegetation canopy effect of crown shape and mutual shadowing Geoscience and Remote Sensing IEEE Transactions on 1992 30 2 p 276 292 Xiaowen L and A H Strahler Geometric Optical Bidirectional Reflectance Modeling of a Conifer Forest Canopy Geoscience and Remote Sensing IEEE Transactions on 1986 GE 24 6 p 906 919 Xiaowen L and A H Strahler Geometric Optical Modeling of a Conifer Forest Canopy Geoscience and Remote Sensing IEEE Transactions on 1985 GE 23 5 p 705 721 2 Instruction of the GOMS model The main interface of the model shown in figure 5 4 a click the service button then the Run the service button and go into the main running interface of the GOMS model like fugure5 4 b Figure5 4 b present the sample parameters in the model shown in figure5 4 c Press the clear all button then the multi angle datasets can be cleared out the Layers option can be used to setting the number of the simulation multi angle datasets enter the layer number press the Add Layers button the Layers of the multi angle datasets can be changed and then enter the 65 multi angle data in the corresponding option to do the model simulation All of the samples param
24. 0 000 00 0008 0 0 DOOE 10 0 ODOE 00 0 000 00 O O00E 10 DODE H10 1 182 5 620E 02 1 4004107 9008400 0 O00E 00 0 O00E 004B6 DODE 90 O DOOE 00 0 O000E 00 0 OO0E4I0 0 O00E 90 0 DOOE 00 0 OO0E 00 0 OD0E 00 OOOE HIO 1 219 650R 02 2 O6TEHIO 485E400 0 DOOE 00 O O00E 0045 DOOE H10 0 000E 00 O 000 00 0 OO0E 00 0 OO0E 400 0 OOOE 00 0 O00E 00 0 000E 10 DODE H10 1 359 8 500E 02 2 TOOEHI0 1 0708409 0 OO0E 00 0 O00E 004B6 OODE I0 O DOOE 00 O O000E 900 0 OO0E4I0 0 O00E 90 0 DOOE 00 0 O000E 90 0 O00E 00 OOOE HIO 1 524 324E 023 SOSEHIO 1 251 E401 0 OOUE 00 O OO0E 004B5 DOOE H10 0 000E 00 0 000 00 0008 10 0 OO0E 400 O OOOE 00 0 O00E 00 000E 10 DODE H10 1 632 8 210E 024 TOOE 400 1 37084091 0 O000E 90 0 O00E 004B6 DODEHO O ODOE 00 0 000 00 0 0008 10 0 DO0E 10 0 ODOE 00 0 O000 00 0 O00E 10 OOOE HI0 1 796 e DA0E 025 700 00 1 1TUE H1 0 OO0E4J0 0 O00E 0045 DOOE I0 0 000E 00 0 000 00 O OO0E 00 0 DO0E 410 0 ODOE 00 0 O00E 00 0 000E 10 OODE HI0 1 828 8 OOTE 02 549E H10 1 4078408 0 000E 90 0 O00ER 0045 DODEHIO O ODOE 00 0 O000 00 0 0008 10 0 DO0E 10 0 ODOE 00 0 O00 00 0 O00E 10 OOOE HI0 1 923 T 210E 02 5 100E 0 2 1108411 0 DOOE 90 O OO0E 004B6 Fig1 1 2 c example for inputting parameters to derive the model The example file of input parameters used to derive the model appears by click on View example i
25. 00000 12 1 1 11 1 Transfer to ASCII plotting data HI 0 F4 0 CN 0 AFE 0 EM 0 SC 0 FI 0 PL 1 TS 0 AM 0 MG 0 LA 0 MS5 0 X5 0 0 0 Plot title not used 15 00000 42 33333 10 2000 100 0000 D O 11 0 1 000 0 0 0 0 0000 1 2000 7 0200 0 2000 4 O 0 0 O 0 0 3 27 15 00000 42 33333 10 2000 100 0000 5 0 11 0 1 000 0 0 0 0 0000 1 2000 7 0200 0 2000 4 0 1 1 1 oO 0 3 28 1 22333 Fig1 2 1 c example of parameters used to derive the model The interpretation of parameters used to derive the model will appear by click on View Example File as shown in Fig 1 2 1 c Parameters used to derive the model without any interpretations will be given by further click on example file It can be copied into as text file named as in para txt The parameters in tape5 dat have Interpretations as follow Line3 1 10 beginning wavenumber value 11 20 ending wavenumber value Line4 1 10 temperature of boundary K 11 20 boundary emissivity Line5 1 5 atmospheric profile model 1 tropical model 2 midlatitude summer model 3 midlatitude winter model 4 subarctic summer model 5 subarctic winter model 6 U S standard 1976 6 10 type of path 1 horizontal path 2 slant path from H1 to H2 3 slant path from H1 to space Line6 1 10 H1 11 20 H2 21 30 zenith angle at H1 Line8 1 10 Half Width Half Maximum 11 20 beginning wavenumber value 21 30 ending wavenumber value 34 35 SCAN convolved with O transmission 1 radiance 39 40 scanning function O rectangular 1 triang
26. 003 4 2903 2905 2 Operation Instruction The main interface of the model was shown in Figure 4 3 3 a Click the Service button and then clicking the run model button the running interface of the model appeared as shown in Figure 4 3 3 b The layers in the mail interface represent the number of the data including six parameters as fre Sandc Clayc Bd ts and vms The meaning of each parameter was explained in the next part Each parameter could be input based on the requirements Click the Run button the calculation interface appeared as shown in Figure 4 3 3 c The message the service frozen dielectric has finished will be displayed at the end of the program Click the Results button the results will be shown in Figure 4 3 3 d It shows the relationship between soil permittivity and temperature 52 G Simulation platform for remote sensing JS mechanism models State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model nput model name to search Q Model List Expand ALL Collapse All Primary information Parameters References Equation Service Model ID M00033 Model Name Dielectric model for frozen soil No Name Affiliations Encoders E Zhao Tianjie Kou_xiaokang 163 com Key words Dielectric constant Frozen soil Freezing and thawing Microwave remote sensing Model Type Semi empirical model Latest Modified 2014 7 1 12 18 50 Submissi
27. 1E 19 02 4 492E 24 0 IHIRAC ILBLF4 ICNTNM IXSECT IAERSL IEMIT ISCAN IPLOT IPATHL 1 1 I 0 o 1 1 o 1 0 WAVENUMBER TEMPERATURE 15 00000000 125 91513 15 10000001 216 01273 15 20000002 245 44342 15 30000001 250 40552 15 40000004 251 56166 15 50000006 251 25806 15 60000002 249 25166 15 70000005 245 87442 15 80000007 243 31909 15 90000010 244 87643 2 Water Fig 1 2 1 e Output results of LBLRTM 2 1 Optical model 1 Introduction of BRDF QAA model 15 01 06 18 00 30 JRAD O JENVAR 120 HWHM 0 10000 Morel and Gentili 1991 1993 1996 and Morel et al 2002 have demonstrated that the upward radiance distribution in the water is not isotropic They developed look up tables LUT for selected chlorophyll concentrations wavelengths solar zenith angles view nadir angles and azimuth angles however the LUT was developed based on the Case I bio optical models while our approach is to describe correct angular dependence based on IOPs Different phase functions a new phase function derived from the measured data by MVSM in coastal waters the widely used Petzold average phase function and the Fournier Forand FF phase function are employed in the simulations In addition the new remote sensing reflectance model that separates the back scattering contributions into water molecular and particle parts Lee et al 2004 is used This model was jointly developed by Prof Zhongping Lee of UMass Boston Dr Keping
28. 2 Shrub 7 3 Forest 81
29. 36H 0794763 Emissagy 0 971555 Emiss89H 0 836664 Set Layer Layer number ko Add Layers Clear All number Hight profil Atmospheri Atmospheri_ Atmospheri Cloud Liqui Rain Profile Snow Profil 0 000000 100 000 296 300 1007 67 0 000000 pa 10 000000 IE Set atmo 0 500000 86 1300 296 060 952660 0 000000 0 000000 0 000000 spheric pro 1 00000 820800 294 220 901260 0 000000 0 000000 0 000000 IFRARA an PAAR lana ABA AFA AR A AARRAA laannan tamano 1H files data 14 i gt Display the process of calculation and outcomes n User Manual Chinese D Simulation platform UL for remote sensing e mechanism models State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to seal Q Model List r a Atmospheric model Surface temperature K 298 0000 Optical model T El Microwave model PEE lnszosee 1DMWRTM Emiss6V 0 914108 Emiss6H 0 709284 Emiss10V 0 920588 CRTM RTTOV Emiss10H 0 718370 Emiss18v 0 935958 Emissi8H 0 748097 ARTS CES pa pa Water model ue Emiss23V 0 943832 Emiss23H 0 764657 Emiss36V 0 956710 Snow Model ae ee E Soil model q WA NA e Forest Model Emiss36H 0 794763 Emiss89V 0 971555 Emiss89H 0 836664 Crop Model Vegetation growth model Expand Collapse All Layer number E Add Layers Clear All High
30. 5 61 11352 886482 65 55754 442471 70 00159 998413 74 44566 554344 88974 110264 33384 666161 T7794 222052 40205 402046 80911 809120 24221 242218 68118 681198 12239 122406 5 56467 564667 00755 007553 071515 024779 080467 027425 092010 030208 106836 033143 125866 036252 150331 039553 181886 043061 222759 046776 276012 050684 345922 054766 438452 058967 961922 063129 727898 067128 951314 070760 246435 073585 601714 074910 865192 073932 053570 014042 051987 011870 051683 009729 052291 007632 053746 005594 056052 003650 059261 001859 000000 000000 000000 000000 000000 000000 000000 000000 000000 000000 000000 000000 000000 000000 000000 000000 000000 000000 000000 000000 000000 000000 000000 000000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 oqooocococoocooceocococococnococo cooscesoorrressssssssssssssse coossssssssssssssssessssssse aS Figure 6 An example of the output result In the output result the column 1 3 from left to right are the height azimuth angle and zenith angle respectively the last three columns are the corresponding Stokes parameters of Qand U 26 1 1 4 1DMWRTM 1 Brief Introduction In the retrieval of atmospheric parameter using microwave radiometer atmospheric radiative transfer mo
31. 5 000000 O 000000 ai 45 000000 0 000000 SO O00000 O 000000 moon As ono 30022 7 1 gt c 2e 210 72 27 32 me v a a tal E links MAR OSE Remote Google Saiz Ore gt CER En lt O l Simulation platform for rem l Simulation platform for rem EX Results All available result files UNA e outputBRDF txt The graph of outputBRDF txt is as follows Graph of Goms Value Downlad the graph Figure 5 4 d Main interface of the simulation result 3 parameters in the main running interface of GOMS model section1 Forest canopy structural parameters nR 2 0 1 nR2 is the parameter which describes the crown coverage density in the nadir observation unit M value range depend on the field of view structure 0 10 n number of crowns per unit area R horizontal radius of an ellipsoidal crown b R 1 733 b R crown shape parameter no unit value range 0 10 b vertical half axis of an ellipsoidal crown h b 2 577 h b represents the crown height from the ground no unit value range 0 10 h height at which a crown center is located Ah b 0 769 Ah b the discrete degree of the crown height distribution no unit value range 0 100 Ah the variance of the h distribution in one pixel section2 Spectral component parameters G 0 2 sunlit background red near infrared no unit value range 0 1 C 0 55 sunlit crown red near infrared no unit value range 0 1
32. ACTOR 1 000 W_FACTOR 100 000 A Figure 6 3 2 b The finished interface of LIBERTY model 3 Description of parameters in the input file sample txt Input and output file settings OUTPUT_FILE output txt Output file OPTICAL_FILE optical_oa txt Input file LIBERTY_DEFAULT 1 Whether to simulate with the default parameters Input files for absorption coefficient PIGMENT_FILE pigment txt Files for pigment absorption coefficient WATER_FILE water txt Files for water absorption coefficient ALBINO_FILE albino txt Files for albino absorption coefficient LIGCELL_FILE ligcell txt Files for lignin and cellulose absorption coefficient PROTEIN_FILE protein txt Files for protein absorption coefficient Input parameter values m_D 40 000 Average diameter of the cells m_XU 0 045 Gap sizes among cells m_THICK 1 600 Leaf thickness m_BASELINE 0 00050 Base absorption coefficient m_ ELEMENT 2 000 Element baseline m_C_FACTOR 200 000 Chlorophyll content m_L_ FACTOR 40 000 Lignin and cellulose content m_P_ FACTOR 1 000 Protein content m_W_FACTOR 100 000 Water content 6 3 3 Four scale model 1 Model introduction The Four scale geometric optical bidirectional reflectance model considers four scales of 78 canopy architecture tree groups tree crowns branches and shoots It differs from the Li Strahler s model in the following respects 1 the assumption of rando
33. AI G_fucnction and a parameter for calculating reflectance and transmittance of leaves 0 00 0 0 0 0 0 0 0 0 0 0 0 for species 2 2 40680 0 65 0 3 0 3 reflectance of ground surface 1 number of footprints to be simulated 15 0 15 0 12 5 center x y and radius of the footprint fpart IIstem_map dimension of the forest stand and a list of all trees 0 0 0 0 slope azimuth in degrees 40 0 40 0 40 0 Maximium dimensions of the stand MaxX MaxY Maxi 0 0 30 0 0 0 30 0 ranges of x and y trees within the range are used for 3D scene 21 45 20 09 15 80 17 40 16 20 3 48 2 0 for a tree x y dbh cm topH m Crown_Length Crown_radius species Crown_shape Fig5 3 c Interpretation of parameters used to derive the model Please select in_para_lidar txt TE Fig5 3 d Interface of uploading driven file All available result files e results txt e out para The graph of results txt is as follows LIDAR Waveform A a 2 Q i 80 100 120 140 160 180 Bin Domlad the graph Fig5 3 e The results of LIDAR model 3 Interpretations of parameters in the file in_para_lidar txt partl parameters of lidar and general parameters of trees 3 5 0 5 3 0 pulse width ns power level to define the width number of STDV to define the tail of the pulse 0 5 0 2 cell size in x y and in z value range 0 1 1 64 2 number of species in the stand conifer and broad leaf value ran
34. EM snow microwave emission Model ccccceeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeees 38 3 1 2 Multi layer passive DMRI QCA snow microwave emission model ceeeeeeeeeees 39 Di ACUVEMICLOW AVC INOUE I aces eccrine ai lcd 42 3 2 1 Multi layer active DMRTI QCA snow microwave scattering model oooonnnnnnnninininnnnnnnnm 42 SO puc Moa A ii 44 SL Rayetracine bicontinuous modela adds 44 A O E E E ETON 46 AI Microwave Mode bassura iiion E a E OETA dados 46 FLATEN Modelo rito raa a AA TA ira 46 A OC AV IMO CSN or a a a a a a S 47 A gt Diekomieconstant Mode lanena E 48 a Wis FE Xe 8X31 ON ModE nia a E A A 48 SLI ALO Mode rua e Us e e ta e ae wal ea el 50 Ao Frozen Dielectric OE lnea 32 A an E Ou eoetenen aes 54 Dell PASSVETMMICTOWANCAMOO Elric 55 Di 2c ACHVE MICOwWaVe mode larymna en n ads 58 5 2 1 3D Radar Backscatter Model of Forest Canopies cccccccccccecceeeeessseeeeseeeeeeeeeeeeeeeeaaas 58 a DA Ra a a a Uaatee aanaeee 62 OPE IM A E A E 65 Sil GOES ModE A N N 65 O O 69 OU Passive microwave modela 69 A A A tacdieates 69 0 2 ACUVE MICLOWAVO MOI lira 72 6 2 1 First order microwave crop scattering model oooooooooooononcccnnnnnnnnnnnnnnnonononannnnnnnnnnnnnnnnnos 12 6 2 2 Second order microwave crop scattering model oooooonnnnncccnnnnnncncnnnnnononononnnnnnnnnnnnnnnnnos 73 6 Optical modela A Ni 75 63 LPROSFECTFSAM Mode luem ereere enn ere aii 75 632 LIBERI Y comer lear modesta ta tai 76 A
35. HV stand for snow volume VV and HV backscattering coefficient respectively and the soil_VV and soil_HV stand for soil surface VV and HV backscattering coefficient respectively EN e 3 State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Model List Atm Model Water Model Forest Model Snow Model Soil Model Crop Model Growth Model Expand ALL Collapse All Primary information Model ID Model Name No Encoders Key words Model Type Latest Modified Submission Date Abstract Equation Parameters Re Name Xiong Chuan ferences Equation Service M00007 Snow DMRT QCA Active Affiliations chuan xn gmail com Snow backscattering QCA DMRT Physical model 2012 7 12 14 30 54 2005 9 13 12 18 50 Snow covered soil backscattering model based on QCA theory and DMRT x Fig 3 2 1 a The GUI of the model serivice 43 Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to seaiQ Model List Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your amp Atm Model Java runtime environment Water Model Forest Model Snow Model Soil Model Crop Model Growth Model Expand ALL Collapse All 10 Initial incident angle 200 End ofincident angle 65 1 Step of incident angle Polarization angl
36. N Eou eae AA o e E O tes 78 oe TR GV MOJ PRA O A A 81 ls VeBetation rota model usara a ls 81 EE A E E A P N E scans ecubatane cd E A A N E S EET 81 PP A Lali aneesned sebaemiandce E E AA 81 A A tad sa buss Guet A tai toate ea tenets a ia teutetec tans ateaieed 81 Part Settings of the web client 1 System requirements Runtime l l l l l JRE Java Runtime Environment is required to run the platform Environment Browser The website to download JRE is http java com IMPORTANT Chrome no longer supports NPAPI technology required for Java applets so if you are using Chrome 4 5 or later please access this model platform with Microsoft Internet Explorer 11 or later or Safari See specific information from Oracle com Chrome no longer supports NPAPI technology required for Java applets The Java plug in for web browsers relies on the cross platform plugin architecture NPAPI which has been supported by all major web browsers for over a decade Google s Chrome version 45 scheduled for release in September 2015 drops support for NPAPI impacting plugins for Silverlight Java Facebook Video and other similar NPAPI based plugins If you have problems accessing Java applications using Chrome Oracle recommends using Internet Explorer Windows or Safari Mac OS X instead 2 Settings for the web client After installation of JRE you can visit the address http 210 72 27 32 85 using Chrome If the message box shown as Fig 1
37. Remote f Google Biz gepe v g o ER gt lt I O Simulation platform for rem X NY Ya Model list Atm Model Primary information Parameters References Equation Service Water Model Forest Model Snow Model Model ID M00025 Soil Model Crop Model Model Name GOMS model EH Growth Model Fxnand All Collanse All No Name Affiliations Encoders 1 Li Xiaowen lix bnu edu cn Key words forest canopy structure parameters mutual shadowing four weighting component Model Type ieee Latest Modified 2014 4 19 0 00 00 Submission Date 2014 4 19 0 00 00 GOMS model is on the foundation of Li Strahler geometric optical model which consider the mutual shadowing of crowns and makes the geometric optic model more suitable for the high dense canopy forest The model assumes that the vegetation canopy BRDF characteristics at pixel scale can be Abstract explained by geometric optical principle is mainly because that the discontinuous three dimensional z geometry in the pixel are illuminated and observed in different directions On the assumption that the sensors only received the ground reflection and the crown reflection in field of view A Considering the three dimensional canopy structure parameters the sky light and the multiple scattering then the received signal can be defined as four area weighting components E
38. SR E 27 The third parameter is layer number of the atmosphere the value can be change by Add layers button The fourth parameters are atmospheric profiles the number of layers is set by the third parameter All the profiles are read into the model from bottom of atmosphere to the top of it Profiles that needed to be set including Height profile km atmospheric relative humidity profile atmospheric temperature profile K atmospheric pressure profile hPa cloud liquid water profile g m3 rain profile g m3 snow profile g m3 cloud ice profile g m3 graupel profile g m3 hail profile g m3 and Atmosphere layer number Users can run the model by click the button Run after all the parameters are set and the model will output running information in display window Fig 1 1 4 c The final output of the model is brightness temperature of AMSR E at each band and the outcome is stored in file Out Simulated Brightness Temperature txt this file can be downloaded by click button Results to enter the download page as is show in Fig 1 1 4 d Display order of the result in the file 1s as follows Column 1 Vertical polarization of Brightness temperature at 6 925GHz Column 2 Horizontal polarization of Brightness temperature at 6 925GHz Column 3 Vertical polarization of Brightness temperature at 10 65GHz Column 4 Horizontal polarization of Brightness temperature at 10 65GHz Column 5 Vertical polarization
39. The simulation platform of remote sensing mechanism models User Manual 2015 12 10 Table of Contents Part USettings OF the web chent scisccsscccsvecshecevctcccecscsssecuveteceseesesbetevesasscusseseecesececscvesessecstecesesses 4 SEM te quienes si roll in asias 4 20 LUIS FOR UNC Webcon dida 4 gt OperaviOns Of the plato taria a 8 Sul The Welcome Pa 86 cr ca iiss ase is 8 See Me INGE X Pave A a PEE Ur E E Orne ee sancamebnratonees 8 i VEO CS LEIS Gore ccna testes ting ca 9 SI Wie aed ald Ol AAA A el ieeshcatawenetelal a N 10 A EOS ECU D ACIS cots 500 355i 01s aes et ss os e o do 12 Part II User manuals of the online models ccccccccccccccccccccsccccccccccccccccccccccccscccssosees 13 KAMOS PICI eeren r a a 13 1 1 Middle and low spectral resolution model ooooooononnnnccnnnnnnnnnnnnnnnonononononnnnnnnnnnnnnnnnnnnnnnnnnos 13 EEEO e sedans tataaneen comeai set dbnieaaagaaa satagt is nie eeas sea tesa canae aamachyieiceeiaasat ned asccpaseataceees 13 VEZ MODTRA dt dead 20 A sa E A 24 LAA e cies eh ta cisco cabs ON 27 E2 He spectral resolution modelada 30 1 2 1 Line B y Line Radiative Transfer Model a 30 Dine NV A OE cote aaa E ueed nicer O E Gendt tan bea crane cede erates 33 Zl DUCAL INOUE acne a e ile 33 Aa A o Un PU EE doa benscuaaueunedat tenanemdecusedeneemseuoauebasdabbees 35 ON eee ee ee mPa ea PN TT SORE Or Toor PMR On ORE Oe oer I Tete mr ene erry ere 38 Sal Passive microwave MO laa 38 3 1 1 DMRT MD AI
40. USK b 60 Results THe cab Endwavelength 1500 4 SCALE echo gt Last request has been cleared LIBERTY System echo gt The service has been switched to SAILPROSPECT RGM System echo Please wait for the service to be ready 2 System echo gt The service has been ready SAIL TIR System echo gt ID has been retrieved 25 TRGM System echo gt The service has started and it will cost some time about 0 5 minutes please wait RAPID echo gt The service SAILPROSPECT has finished Vegetation growth model af Expand ALL Collapse All All available result files e Prospect Outupt txt The graph of Prospect_Outupt txt is as follows Graph of SAILPROSPECT 0 35 pm a 0 30 j TA j a 0 25 0 20 T gt 0 15 0 10 0 05 0 00 400 600 800 1000 1200 1400 WaveLength um BE trans 100 a refle 100 Downl ad the ra h vownlad The graph 6 3 2 LIBERTY conifer leaf model 1 Model introduction The conifer leaf model LIBERTY Leaf Incorporating Biochemistry Exhibiting Reflectance and Transmittance Yields is an adaptation of radiative transfer theory for determining the optical properties in the visible and near infrared bands from 400 2500nm spectral for conifer leaves 76 LIBERTY provides a simulation at a fine spectral resolution of quasi infinite leaf reflectance as represented by stacked leaves and single leaf reflectance Single leaf reflectance and transmittance are importan
41. ale widely used It can simulate the bidirectional reflectance of crop canopy for arbitrary leaf angle The PROSPECT model is the leaf scale widely used model It can simulate leaf reflectivity and transmittance in the wavelength range of 400 2500 nm 2 Description of model usage Click the Model List to enter the page of model list and select Crop model gt Optical Model gt PROSPECT SAIL Click the hyperlink PROSPECT SAIL enter the operation interface Click the tab of Service and click the button of Run the service to enter the main interface of PROSPECT SAIL model Input parameters are listed User can modify these inputs Click the button of Run to carry out the model The operating state will display in the text box during model running process After finished the program a text box will display that system echo gt The services PROESPECT SAIL has finished After that click the button of Results to display the model simulation results 75 M Simulation platform Non for remote sensing mechanism models Forest Model Model List Atm Model Water Model Forest Model Snow Model State Key Laboratory of Remote Sensing Science Soil Model Input model name to search Q X S Snow Model Soil Model 265 Passive microwave MODTRAN cual E Optical model e Line by line radiative m A h a h z Incoh del tmospheric SAR model e I
42. and A K Fung Int J of Remote Sensing Vol 9 No 6 1109 1134 1988 5 Emission of Rough Surfaces Calculated by the Integral Equation Method With Comparison to Three Dimensional Moment Method Simulations Chen K S Wu T D Tsang L IEEE Trans Geosci Remote Sensing 2003 35 731 749 2 Instruction The model home page is shown as fig 6 1 1 a Click Service gt Run the service button then you enter the model running interface as shown in fig 6 1 1 b Click start button the model will be running You can input the parameters according to the tips shown on the interface After each input you should click submit to do the next like fig 6 1 1 c As the model ends running the dialog box will show system echo gt the service RT1 has finished as shown in fig 6 1 1 d And the button submit is disabled You can check the result in the page e g the brightness temperature of H and V polarization from 5 to 65 Chinese PM Simulation platform for remote sensing oy mechanism models A Ya s HOME Model List Atm Model Water Model Forest Model Snow Model Soil Model Model List Atm Model Primary information Parameters References Equation Service 4 Water Model Forest Model Snow Model Model ID M00034 s Soil Model Crop Model Model Name first order model a Growth Model Expand ALL Collapse All No Name Affiliations Encoders 1 Chai Linna chai bnu edu cn Key words Passive
43. and ALL Collapse All Solar incident angle 55 Diffusive source a E Fig 3 3 1 b The input parameters 45 All available result files e albedo txt The graph of albedo txt is as follows Graph of BicPT Value wavelength micron planeAlbedo Downlad the graph Fig 3 3 1 c The model results 4 Soil 4 1 Microwave model 4 1 1 AIEM Model 1 Introduction Advanced Integral Equation Model AIEM was developed by Prof Chen Kunshan based on Integral Equation Model IEM AIEM is capable of accurately estimate radar bi static scattering and has been widely used in remote sensing area The copy right of the AIEM model belongs to Prof Chen Kunshan For any questions related to the web based application please contact Dr Du Jinyang dujy radi ac cn Reference Chen Kun Shan et al Emission of rough surfaces calculated by the integral equation method with comparison to three dimensional moment method simulations Geoscience and Remote Sensing IEEE Transactions on 41 1 2003 90 101 2 Usage Graphic user interface GUI of this model is shown in Fig 4 1 1 firstly click Service tab then click Run the service GUI of the model running is shown in Fig 4 1 2 Click the Run button to start calculation 46 Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to search Model List Atmospheric model Primary i
44. andsat5 0 475 0 640 2nd 3rd Ath 1st band of MAS ER2 2nd 3rd Ath 5th 6th 7th MODIS MODIS MODIS MODIS MODIS MODIS MODIS band 1 band 2 band 3 band 4 band 5 band 6 band 7 0 580 0 750 0 655 0 855 0 785 1 100 0 5025 0 5875 0 6075 0 7000 0 8300 0 9125 0 9000 0 9975 1 8200 1 9575 2 0950 2 1925 3 5800 3 8700 0 6100 0 6850 0 8200 0 9025 0 4500 0 4825 0 5400 0 5700 1 2150 1 2700 1 6000 1 6650 2 0575 2 1825 1st band of avhrr noaa12 0 500 1 000 2nd 0 650 1 120 1st band of avhrr noaa14 0 500 1 110 2nd POLDER band 1 0 680 1 100 0 4125 0 4775 18 54 55 56 57 58 59 60 61 62 66 67 68 69 70 POLDER band 2 non polar 0 4100 0 5225 POLDER band 3 non polar 0 5325 0 5950 POLDER band4 P1 0 6300 0 7025 POLDER band 5 non polar 0 7450 0 7800 POLDER band 6 non polar 0 7000 0 8300 POLDER band7 P1 0 8100 0 9200 POLDER band 8 non polar 0 8650 0 9400 FY 1C band1 0 5310 0 7490 FY 1C band2 0 7610 0 9990 FY 1C band 6 1 4950 1 7330 FY 1C band 7 0 4000 0 5900 FY 1C band8 0 4010 0 6190 FY 1C band9 0 4330 0 6710 FY 1C band 10 0 8320 1 0700 SHground reflectance type name inhomo value range O 1 inhomo 0 parameter idirec 0 uniform surface no directional effect input surface type igroun igroun 1 user define input ro igroun 0 user define input ro array st
45. assive Active a Optical Publisher UNKNOWN Location http 210 72 27 32 8066 1TH Running this application may be a security risk K LIBER Risk This application will run with unrestricted access which may put your computer and personal information at risk The information provided is unreliable or unknown so it is recommended not to E E E Security Warning it Do you want to run this application RGM run this application unless you ar familiar with its source lava SAIL More Information TE TRG RAPII Vegetatio Expand ALL Coll Fig 9 Response to the warning 3 Operations of the platform 3 1 The Welcome Page When you visit http 210 72 27 32 85 the Welcome page will appear firstly Fig 10 Click the image in the page and you will be redirected to the Index page of the platform Ses Simulation platform for x x eA bh gt D 210 72 27 32 85 lt a S 5 a o a 4 x s 3 E e ER e z A A M P 7 s gt e at cr ye gt E N gt 7 gt u mr g State Key Laboratory of Remote Sensing Science ma gt 7 5 E a Welcome to the simulation platform for remote sensing mechansim models Chrome is recommended Fig 10 The Welcome page 3 2 The Index page The remote sensing models are classified into 7 first classes which are list in the Index page Fig 11 Each model of the first class i
46. at use HTTP are as risk and may compromise the personal information on your computer We recommend induding ay HTTPS sites on the Exception Site List Click Continue to accept this location or Cancel to abort this change Fig 6 Click the button Continue Exception Sit Applications launched from the sites listed below will be allowed to run after the appropriate security prompts iy ptt 210 72 27 32 8066 ky FILE and HTTP protocols are considered a security risk We recommend using HTTPS sites where available Fig 7 Click the button OK Java Control Panel Sa Tea 5 Very High Only Java applications identified by a certificate from a trusted authority are allowed to run and only if the certificate can be verified as not revoked High Java applications identified by a certificate from a trusted authority are allowed to run even if Exception Site List Fig 8 Click the button OK 3 CLOSE your web browser NOTE here and revisit the URL http 210 72 27 32 85 When the message box of security warning pops up click I accept the risk and want to run this application and then click the button OK Fig 9 The settings for the client then achieved and all web services of the models in the platform can be accessed 2 Simulation platform for re x WT D 210 72 27 32 85 Home ModelCalculate 3 vv Water model Snow Model Soil model Forest Mod Crop Mode P
47. ature of 20 In contrast to the Dobson model the Mironov model employs the spectra explicitly related to either bound soil water BSW or free soil water FSW References V L Mironov M C Dobson V H Kaupp S A Komarov and V N Kleshchenko Generalized refractive mixing dielectric model for moist soils leee Transactions on Geoscience and Remote Sensing 2004 42 4 p 773 785 V L Mironov L G Kosolapova and S V Fomin Physically and Mineralogically Based Spectroscopic Dielectric Model for Moist Soils Ieee Transactions on Geoscience and Remote Sensing 2009 47 7 p 2059 2070 2 Operation instruction The main interface is shown as Fig 4 3 2 a click on Service button then click on Run button shown in Fig 4 3 2 b Enter into the main interface of Run Sevrice There will an intermediate result in tooltip System echo gt The service Dobson has finished will be displayed in messesage box shown as Fig 4 3 2 c At the same time the Run button turn into grey then click on Results button will popup results interface shown as Fig 4 3 2 d The simulated result contained in Dobson out and the graph of Dobson is also shown Chinese D Simulation platform UL for remote sensing ow x 23 r S dB mechanism models 7 i e State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model nput model name to search Q
48. ava Atmospheric model runtime environment 3 Water model Optical model BRDF QAA Microwave model Snow Model Soil model Forest Model Crop Model a Vegetation growth model view azimuth angle 135 Absorption coefficient of phytoptankion al 440nrr 10 01 Solar zenith angle 0 View na r angle 45 Expand ALL Collapse Al Back scattering coefficient of particles 01 Back scatiering parameter of particies 05 Absorption coeficients of CDOM and detritus at 440nm 0 5 Run Results y Fig 2 1 c GUI of the model result 3 Input parameters of model Solar zenith angle degree data range 0 90 View nadir angle degree data range 0 90 View azimuth angle degree data range 0 180 Absorption coefficient of phytoplankton at 440nm m 1 data value gt 0 Absorption coefficients of CDOM and detritus at 440nm m 1 data value gt 0 Back scattering coefficient of particles at 5 50nm m 1 data value gt 0 Back scattering parameter of particles dimensionless data value gt 0 2 2 Microwave model 1 Introduction The microwave water forward model was implemented based on the CMODS5 a new C band geophysical model functions derived by Hersbach et al 2007 and a polarization ratio model by Liu et al 2013 and the precision of normalized radar cross sections NRCS for HH polarizations estimated by the model is improved The forward model is developed on the basis of measurements from th
49. backscattering txt will see its content tot HH HV VV 0 289212 0 049860 0 182883 CVS 0 102393 0 021793 0 092893 mcg 0 156528 0 027074 0 069168 sbs 0 015354 0 000986 0 013949 dtg 0 015004 0 000000 0 006882 dtgd 0 000009 0 000000 0 000015 Where tot total backscattering cvs canopy vegetation scattering mcg multiple scattering between canopy and ground sbs single backscattering from soil dtg double bounce between trunks and ground dtgd direct backscattering from trunks They are linear value of backscattering coefficients of HH HV and VV from left to right under each line D Simulation platform E for remote sensing mechanism models Model List Atmospheric model Primary information Parameters References Equation Service Water model Snow Model Soil model Model ID M00037 E Forest Model Passive microwave model Model Name 3D Radar Backscatter Model of Forest Canopies 3 SAR model Incoherent model No Name Affiliations Coherent model Encoders Lidar model 1 Sun Guoging niwj radi ac cn 4 Optical Model Crop Model Key words Forest 3D forest scene Radar Backscattering coefficients Vegetation growth model Expand ALL Collapse All Model Type Theoretical model Latest Modified 2014 9 17 0 00 00 Submission Date 1998 11 3 0 00 00 The model was freshers by Professor Guoging Sun at og acta a Taane and Professor Kenneth Jon Ranson at Goddard Space flight Center and was further roved by Wen
50. c range 10 60 0 0004 0 008 size of leaf radius and length for needls or radius and thickness for disks 60 L Band of SAR X C L P 23 23 7 68 dielectric constants of leaf 0 0 90 0 dynamic range of inclination part II parameters for branch characteristics 2 35 0 02 mean length and radius of branches in meter 05 1 5 0 5 1 5 dynamic ranges of length and branches 14 244 82 dielectric constants of brach g g means the probablity distributions of branch inclinations should be provided 4 4 means the probablity distributions of branch radus and length should be provided 0 0 90 0 dynamic range of inclination partIII parameters for branch inclination angle this file gives the probablity distributions of branch inclinations 9 number of bins 0 0 90 0 dynamic range of inclination angles 10 0 the size of each bin in degree 0 068878 follwing is the probablity function summary of the should be 1 0 0 063776 0 104592 0 191327 0 165816 0 091837 0 117347 0 081633 0 114796 part IV parameters for branch size this file gives the probablity distributions of branch size 8 number of bins 0 003598 0 257859 0 55102 radius length and probablity function summary of the third column should be 1 0 0 007915 0 881859 0 244898 0 009321 1 51722 0 114796 0 010724 2 13853 0 030612 0 011431 2 63398 0 015306 0 017403 3 44463 0 02551 0 022373 3 76765 0 010204 0 023544 4 54231 0 007653
51. catterers valid range 0 30 0 90 5 crop height valid range 0 1 5 m 6 volumetric soil moisture 0 05 0 4 m m Based on the inputs VV HH VH and HV polarized backscattering coefficients are calculated by the model An example of the application is shown below Input parameters Frequency 5 4 GHz Incidence angle 40 degree Volumetric fraction of vegetation 74 scatterers 0 004 Water content of vegetation scatterers 0 6 Crop height 2 0 m Volumetric soil moisture 0 25 m m Output VV 9 86dB HH 9 87 dB VH 14 22 dB HV 14 22 dB Model List Atm Model Water Model Forest Model Snow Model Soil Model Model List Atmospheric model Water model Snow Model Soil model E Forest Model A as Service path pee ss Crop Model Passive microwave model Active microwave model First order continous mode First order discontinous mi Two order discontinous moc Optical Model Vegetation growth model i Expand ALL Collapse All canopy depth m 0 1 5 0 Soil Moisture m3 m3 0 05 0 40 0 25 Wo H VH HV dB 9 861285 9 870925 14 22152 14 22152 aeeeeeerrrrrerQPininshed Calculationiaeeleelerere Type y to keep working Type anything else to stop Input value following the tips sal Fig 6 2 4 Operation Interface 6 3 Optical model 6 3 1 PROSPECT SAIL model 1 Model introduction SAIL model is a one dimensional radiative transfer model of canopy sc
52. cho gt The services Four scale has finished After that click the button of Results to display the model simulation results as shown in Figure 6 3 3 c Model List Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java Atmospheric model runtime environment Water model Snow Model Soil model Forest Model Crop Model Passive microwave model Active microwave model D 40 000 ey pos MEGIS 1 500 Optical Model PROSPECT SAIL BASELINE 0 00050 ELEMENT 2000 C_FACTOR 200 000 KUUSK Tia 4 SCALE LIBERTY RGM SAIL TIR TRGM L FACTOR 40 000 P_FACTOR 1 000 W_FACTOR 100 00 RAPID Vegetation growth model Expand ALL Collapse Al Figure 6 3 3 a The main interface of Four scale model 79 Active microwave m 3 Optical Model KUUSK D Vegetation growth model Expand ALL Collapse Al Figure 6 3 3 b The finished interface of Four scale model 3 Description of parameters in the input file sample txt The input and output file settings ANGLE_FILE angle txt the input angle file OUTPUT_FILE out txt the output file OPTICAL_FILE optical_oa txt the input optical reflectance file The mode selection SPECTRAL 1 the selection of spectrum mode LIBERTY_DEFAULT 1 whether to call LIBERTY model GE_CHOICE NO_BRANCH whether there is branching crown SHAPE SPHEROID the shape
53. d P D Brown Atmospheric radiative transfer modeling a summary of the AER codes Short Communication J Quant Spectrosc Radiat Transfer 91 233 244 2005 Clough S A M J lacono and J L Moncet Line by line calculation of atmospheric fluxes and cooling rates Application to water vapor J Geophys Res 97 15761 15785 1992 2 Operation Instruction The main interface of the model is shown as Fig 1 2 1 a The model could be launched by left click on the card Service and then left click on the item Run the service The running interface of Line by line radiative transfer model is shown as Fig 1 2 1 b 30 User Manual Chinese for remote sensing mechanism models State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to sea Q Model List z 7 Atmospheric model Primary information Parameters References Equation Service Optical model 6S MODTRAN Model ID M00047 Line by line radiative trans RT3 Model Name Line by line radiative transfer model l Microwave model Water model Encoders No Name Affiliations Snow Model i m m Soil model Key words Radiative transfer Transmittance Forest Model Crop Model Model Type Radiation transfer theory Vegetation growth model i lt gt Latest Modified Ex ALL Collapse All Submission Date LBLRTM attributes provide spectral ra
54. d on bicontinuous random medium and Monte Carlo ray tracing Journal of Quantitative Spectroscopy and Radiative Transfer Volume 133 Pages 177 189 January 2014 ISSN 0022 4073 http dx doi org 10 1016 jqsrt 2013 07 026 2 User guide of the model 44 The GUI of the model is shown as in Fig 3 3 1 a Click on the Service tab and click on the link of run the service to initialize the running of the model Then fill out the forms to provide the input parameters of the model shown as Fig 3 3 1 b The input parameters include Monte Carlo superposition used to simulate the bicontinuous medium usually set to be 1000 Equivalent snow grain radius optical snow grain radius in mm B parameter a parameter related to the size distribution of snow particles a large number gt 20 means uniform distribution of grain radius and small values means very broad size distribution Snow density in g cm 3 Photon number large values means better simulation accuracy and more computation time Snow depth in meter in the model photons traveling beyond thickness will be totally absorbed Solar incident angle zenith angle in degree Diffuse source if the incident light source is diffuse or not If YES selected the Solar incident angle will be disregarded Click on the Run button to start the model simulation When the simulation completed click on the Result
55. de frequency bands information Abstract incident angle and so on radiance and reflectance information of surface and cosmic background radiation information The information of radiance and reflectance of underlying surface can also be supplied by other surface radiance and reflectance models which can combine with this radiative transfer model to build an integrated model to simulate the interaction of underlying surface and atmosphere This version of program can be used to simulate the observed brightness temperature by AMSR E Equation 28 Fig 1 1 4 a Basic information page of IDMWRTM PM Simulation platform US for remote sensing a a mechanism models State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to search Q Model List Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java Atmospheric model runtime environment Optical model 3 Microwave model 1DMWRTM CRTM RTTOV gt ARTS dii ion 298 0000 Set Surface Temperature Water model Snow Model Soil model Emissev 0 914108 Emiss6H 0 709284 Emisstov 0 920588 Set surface Forest er emissivity at Crop Mode z Emiss10H 0 718370 0 935958 18H 0 748097 Vegetation growth model Emiss 18V Emiss 16 each bands of Emiss23V 0 943832 Emiss23H 0 764657 Emiss36V bo 956710 AMSR E Emiss
56. del List Atm Model a Water Model Forest Model Snow Model 3 Soil Model Saa peer Service path eae Start Crop Model Growth Model moro gt sete 1 400 47 500 0 9936 0 9936 Expand ALL Collapse All 1 400 52 500 0 9931 0 9930 1 400 57 500 0 9923 0 9920 1 400 62 500 0 9912 0 9908 1 400 67 500 0 9898 0 9891 1 400 72 500 0 9877 0 9867 1 400 TT 500 0 9846 0 9832 1 400 82 500 0 9792 0 9778 1 400 87 500 0 9675 0 9670 4 lx MatrixFT has finished 4 m input value following the tips i Submit Download 5 1 d Result interface 3 Instruction of parameters Please input the freqency GHz 6 925 Please input the soil parameters simulated emitted frequency volume moisture 30 soil moisture standard deviation m 0 02 Soil roughness standard deviation surface correlation length m 0 1 Soil roughness correlation length 57 Please input the vegetation parameters canopy depth m 0 19 Canopy depth excluding stalk leaf radius m 0 0267 Statistically average radius of round leaf leaf thickness m 0 00023 Statistically average thickness of round leaf leaf number m 3 316 Statistically average leaf number per unit leaf moisture 82 2 Statistically average leaf moisture branch radius m 0 0009 Statistically average branch cross section radius radius branch height m 0 05 Statistically average branch height branch number m 3 285 Statistically av
57. del in microwave bands is the necessary The model is mainly used to simulate attenuation and contribution of atmosphere constituents to microwave signal It is necessary to precisely simulate the radiative transfer process of microwave signal in atmosphere in the retrieval of land surface and atmosphere parameter using passive microwave remote sensing One dimensional atmospheric microwave radiative transfer model IDMWRTM is mainly used in retrieval of precipitation the model describes the micro physic property of ice melting layer in atmosphere and its radiative transfer property in microwave bands The model is formatted into isotropic atmosphere data cube and complete the simulation according to a point by point calculating using the input atmospheric profiles data Although simplified the model yields the volume fractions of ice air and liquid water of melting particles of all species and sizes at a fine grid spacing in the vertical In addition it s very easy to modify the instrument parameters and atmospheric parameters and the radiative transfer property at the top of atmosphere or in the vertical can be detailed simulated by importing of profiles of temperature humidity cloud rain and ice etc The surface boundary condition can also be replaced by the output of other related surface model to further improve the ability of simulation of the model Reference Olson W S P Bauer C D Kummerow Y Hong and W K Tao A melting laye
58. diance calculations with accuracies consistent with the Abstract measurements against which they are validated and with computational times that greatly facilitate the application of the line by line approach to current radiative transfer applications LBLRTM s heritage is in FASCODE Equation Fig1 2 1 a Main interface of Line by line radiative transfer mode User Manual Chinese for remote sensing mechanism models State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to seai Q Model List Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java runtime environment Atmospheric model Optical model RT3 Microwave model Water model Upload profile of LBLRTM Upload File View Example Fud Snow Model Soil model Forest Model E Crop Model Vegetation growth model lt gt Expand ALL Collapse All Fig1 2 1 b The running interface of Line by line radiative transfer model 31 Please refer to the following inputs or dowmload the example file Parameters of the input tSreft 06 12 96 CAMEX NASA Flt 93 169 09 29 93 Wallops Island ARM Ret 03 HI 1 F4 1 CN 1 AE 0 EM 1 5C 1 FI 0 PL 0 TS 0 AM 1 MG 0 LA 0 ODO X5 0 gg 00 15 00000 42 33333 263 178 1 000 6 2 0 0 O 15 00 100 000 0 000 180 000 0 1000 15 00000 42 33333 1 2 0 1
59. ditions of nearby snow layers The snow soil rough surface scattering is simulated using the AIEM model the cross polarization snow soil interface backscattering is simulated using the semi empirical Oh model Please refer to the references for details References L Tsang J Pan D Liang Z X Li D Cline and Y H Tan Modeling active microwave remote sensing of snow using dense media radiative transfer DMRT theory with multiple scattering effects IEEE Transactions on Geoscience and Remote Sensing vol 45 no 4 pp 990 1004 April 2007 L Ding X Xu L Tsang K M Andreadis and E G Josberger Multi layer Effects in Passive Microwave Remote Sensing of Dry Snow Using Dense Media Radiative Transfer Theory DMRT Based on Quasicrystalline IEEE Trans Geosci Remote Sens vol 46 no 11 pp 3663 3671 Novermber 2008 2008 K S Chen T D Wu L Tsang Q Li J Shi and A K Fung The emission of rough surfaces calculated by the integral equation method with a comparison to a three dimensional moment method simulations JEEE TGRS vol 41 no 1 pp 90 101 2003 2 User guide of the model simulation service The GUI of the model is shown as in Fig 3 2 1 a Click on the Service tab and click on the link of run the service to initialize the running of the model Then fill out the forms to provide the input parameters of the model shown as Fig 3 2 1 b 42 The input parameters are I
60. e V H 0 0 Frequency GHz 172 Snow layer number 2 Add Layers Clear All Snow density Snow grain radius Stickiness Snow temperature Snow layer depth 130 0 0 07 10 1 270 0 0 2 200 0 0 10 10 1 270 0 0 15 a E o a Soil moisture 5 0 RMS height cm 0 5 Corelative Func Exponential 2D v Coratalive lengh 180 118 0 Fig 3 2 1 b The input parameters All available result files e data out txt The graph of data_out txt is as follows Graph of DMRT_QCA Value Ww a VV HV volume_VV volume_HV soil_VV soil_HV Dowmlad the graph Fig 3 2 1 c The model results 3 3 Optical model 3 3 1 Ray tracing bicontinuous model 1 Introduction of the model This model provides capability of simulating the optical reflectance of snow surface Based on computer generated complex and random snow microstructure the reflectance is simulated using ray tracing technique In this model the snow microstructure is modeled using the bicontinuous medium which has greater similarity with real snow microstructure compared to traditional models such as the models based on Mie theory Because the bi directional simulation is very time consuming here we only provide the service of simulating hemispherical reflectance Please refer to the references for details References Chuan Xiong Jiancheng Shi Simulating polarized light scattering in terrestrial snow base
61. e conditions from 1 4 to 18GHz and extended to 0 3 1 3GHz in 1995 References M C Dobson F T Ulaby M T Hallikainen and M A Elrayes Microwave Dielectric Behavior of Wet Soil 2 Dielectric Mixing Models Ieee Transactions on Geoscience and Remote Sensing 1985 23 1 p 35 46 2 Operation Instruction The main interface is shown as Fig 4 3 1 a click on Service button then click on Run button shown in Fig 4 3 1 b Enter into the main interface of Run Sevrice There will an intermediate result in tooltip System echo gt The service Dobson has finished will be displayed in messesage box shown as Fig 4 3 1 c At the same time the Run button turn into grey then click on Results button will popup results interface shown as Fig 4 3 1 d The simulated result contained in Dobson out and the graph of Dobson is also shown SP Simulation platform UD for remote sensing uD mechanism models Model List Atm Model Primary information Parameters References Equation Service Water Model 4 Forest Model Snow Model Model ID M00024 Soil Model Crop Model Model Name Dobson dielectric constant mode Growth Model Expand ALL Collapse Al No Name Affiliations Encoders i Peng Guo gpeng0327 gmail com Key words Soil moisture dielectric constant microwave remote sensing Model Type Theoretical model Latest Modified 2014 4 19 0 00 00 Submission Date 2014 4 19 0 00 00 The p
62. e scattering effect of snow particles are considered in the model based on dense media scattering theory The interaction of different snow layers is also considered based on the multi layer radiative transfer model The snow soil interface is modeled as flat surface or modeled as rough surface based on AIEM model or empirical model In the model the effect of liquid water is added the liquid water is considered as water coated ice particle The simulation of dry snow can be simply achieved by setting the liquid water content as 0 Please refer to the references for details References L Tsang C T Chen A T C Chang J Guo and K H Ding Dense Media Radiative Transfer Theory Based on Quasicrystalline Approximation with Application to Passive Microwave Remote Sensing of Snow Radio Science Radio Science vol 35 no 3 p 731 49 May June 2000 L Ding X Xu L Tsang K M Andreadis and E G Josberger Multi layer Effects in Passive Microwave Remote Sensing of Dry Snow Using Dense Media Radiative Transfer Theory DMRT Based on Quasicrystalline IEEE Trans Geosci Remote Sens vol 46 no 11 pp 3663 3671 Novermber 2008 2008 K S Chen T D Wu L Tsang Q Li J Shi and A K Fung The emission of rough surfaces calculated by the integral equation method with a comparison to a three dimensional moment method simulations IEEE TGRS vol 41 no 1 pp 90 101 2003 2 The quick guide of the model The GUI of
63. e scattering inside the vegetation layer and that between vegetation and soil surface The vegetation is treated as a collection of randomly distributed discrete scatterers The scatterers are modeled as disks leaves and cylinders branches of different sizes The General Rayleigh Gans Approximation GRG or Physical Optical PO approximation model and Infinite Length Cylinder IL approximation are adopted to simulate the scattering of the scatterers The AIEM model is adopted to simulate the surface emissivity To calculate the emissivity with this model the forest is divided into three components e g the canopy the trunk and the ground where the canopy is modeled as randomly distributed discs and the trunk as vertically cylinders In each sub layer the incident and scattering angles are divided into many small intervals to account for as many directions as possible For each incident angle the scattering matrix S and transmission matrix T at the nearby sub layer Azl and Az2 with equal thickness can be obtained by the radiative transfer solution Since it takes volume scattering into account it can better describe the scattering mechanism within the vegetation and thus can be used at higher frequency or for denser vegetation Any questions contact Linna Chai chai bnu edu cn Reference 1 Passive Microwave Remote Sensing of Forests A Model Investigation Paolo Ferrazzoli IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 1996 2 E
64. e scatterometer and synthetic aperture radar on board of the European Remote Sensing Satellite It can computes C band VV HH Normalized Radar Cross Section NRCS for a specified incidence angle radar azimuth angle wind direction and wind speed The version of the model belongs to Hersbach et al 2007 and Liu et al 2013 If you have problems please email to Wenjian Ni The email adress is niwj Oradi ac cn References Hersbach H A Stoffelen and S de Haan 2007 An improved C band scatterometer ocean 35 geophysical model function CMODS J Geophys Res 112 CO3006 do1 10 1029 2006J3C003743 Liu G H Yang X F Li X F Zhang B Pichel W Li Z W amp Zhou X 2013 A Systematic Comparison of the Effect of Polarization Ratio Models on Sea Surface Wind Retrieval From C Band Synthetic Aperture Radar Jeee Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6 3 1100 1108 doi Doi 10 1109 Jstars 2013 2242848 2 User manual of the model The main interface of the model is shown in figure 2 2 a One can open a run widow for the model by clicking the Service tab page and then click the Run the service on the tab shown in figure 2 2 b Click the Start button on the service window According to the prompt information given on the message window input the parameter value in the text box below the message window and then confirm by clicking the Submit button For
65. eed and d is disk u ff distribution type of inclination uw is uniform 45 Ffincidence angle of SAR in degree 0 0004 0 008 f size of leaf radius and length for needls or radius and thickness for L ff Band of SAR K C L P 23 23 7 68 fdielectric constants of leaf 0 0 90 0 ff dynamic range of inclination fpart II parameters for branch characteristics 2 35 0 02 mean length and radius of branches 0 5 1 5 0 5 1 5 dynamic ranges of length and branches 14 24 4 82 dielectric constants of brach g ff g means the probablity distributions of branch inclinations should be provided 4 f f 4 means the probablity distributions of branch radus and length should be provided 0 0 90 0 dynamic range of inclination fpartlll parameters for branch inclination angle this file gives the probablity distributions of branch inclinations g f nmber of bins 0 0 90 0 dynamic range of inclination angles 10 0 f f the size of each bin in degree 0 068878 follwing is the probablity function 0 063776 0 104592 Fig5 2 1 c Interpretation of parameters used to derive the model Please select in para txt WA Fig5 2 1 d Interface of uploading driven file 3 Interpretations of parameters in the file in_para txt IpartI parameters for leaf n leaf shape n is need and d is disk u distribution type of inclination u is uniform 45 Aincidence angle of SAR in degree dynami
66. ength valid range 5 0 30 0 cm 5 Volumetric soil moisture 0 03 0 5 m3 m3 Based on the inputs VV and HH polarized backscattering coefficients are calculated by the AIEM model An example of the application is shown in Fig 4 1 2 and also described below Input parameters Frequency 1 26 GHz Incident angle 40 degree RMSE height 1 0 cm Correlation length 10 0 cm Volumetric soil moisture 0 3 m3 m3 Output VV 13 08dB HH 16 85 dB Model List Atmospheric model Water model Snow Model Soil model Microwave model Service name nt Service path pe Start IEM Ea se UAIEM Correlation Length cm 5 0 30 0 E Optical Model 10 0 Dielectric model Soil Moisture m3 m3 0 03 0 5 Forest Model 0 3 gt Crop Model Calculation Result vv hh dB Vegetation growth model 13 0839137331161 16 8503840827377 u Expand ALL Collapse All tebbbbbKKEKEEFininshed Calculati onkii Type y to keep working Type anything else to stop working 4 b input value following the tips Submit Download Fig 4 1 2 Operation Interface 4 2 Optical model NULL 47 4 3 Dielectric constant model 4 3 1 Dobson model 1 Brief Introduction The Dobson model as a semi empirical model developed a set of empirical polynomial expressions for the dielectric constant as a function of volumetric water content clay C and sand contents based on five soil types a wide range of moistur
67. eory and DMRT State Key Laboratory of Remo Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or uy Java runtime environment Snow layers 2 Add Layers Clear All Snow density Snow grain radius 109 0 fas Stickiness Snowtemper Soil moisture Snow layer a 0 2 270 2 0 0 0 3 277 0 03 272 2 10 0 0 4 Soil model Flat gt Soil moisture 15 0 0 5 RMS height cm Correlation length 18 0 180 Correlative funct Gaussian 2D vv Soil temperature k 272 0 Fig 3 1 2 6 The input parameters of model 41 All available result files e data out txt The graph of data_out txt is as follows Graph of DMRT Downlad the graph Fig 3 1 2 c The simulation results 3 2 Active microwave model 3 2 1 Multi layer active DMRT QCA snow microwave scattering model 1 Introduction of the model The active multilayer DMRT QCA snow backscattering model is proposed by Prof Leung Tsang of University of Washington In the model the collective scattering effect multiple scattering effect are considered based on the QCA theory and the multi layer effect of the snow scattering is considered by solving multi layer radiative transfer theory The multi layer vector radiative transfer equation is solved by solving a system of boundary con
68. ep 0 0025um igroun 1 VEGETA igroun 2 CLEARW igroun 3 SAND igroun 4 LAKEW idirec 1 ibrdf 0 directional effect input reflectance in all direction ibrdf 1 9 choose a defined type ibrdf 1 ibrdf 2 ibrdf 3 ibrdf 4 brdf 5 brdf 6 ibrdf 7 ibrdf 8 brdf 9 hapke model verstraete et al model Roujean et al model walthall et al model minnaert model Ocean laquinta and Pinty model Rahman et al model Kuusk s multispectral CR model atmosphere correction mode name rapp 19 value range rapp lt 1 do not activate the mode rapp gt 0 inversion surface reflectance to fit the TOA radiance rapp w m str mic 1 lt rapp lt 0 inversion surface reflectance to fit the TOA reflectance rapp 1 1 2 MODTRAN 1 Brief Introduction MODTRAN is a rapid atmospheric forward model with moderate spectral resolution MODTRAN can calculate transmittance fast with good precise using band model method in 0 2 100 micron spectral region which covers UV VIS TIR MODTRAN 4 adds the following features 1 Two Correlated k CK options the standard option which use 17 k values per spectral bin and a slower 33 k value option primarily for upper altitude gt 40km cooling rate and weighting function calculations 2 An option to include azimuth dependencies in the calculation of DISORT scattering contributions 3 Upgraded ground surface modeling including parameterized forms for BRDFs and an option to de
69. er Troubleshooting kd Windows Defender EA System 2 User Accounts r Windows Firewall Fig 2 The Control panel 2 Click the Security tab Fig 3 and then the button Edit Site List Follow instructions shown in Figures 4 to 8 to configure your JRE environments Enable Java content in the browser Security level for applications not on the Exception Site list 0 Very High Only Java applications identified by a certificate from a trusted authority are allowed to run and only if the certificate can be verified as not revoked a High Java applications identified by a certificate from a trusted authority are allowed to run even if the revocation status of the certificate cannot be verified Exception Site List Applications launched from the sites listed below will be allowed to run after the appropriate security Click Edit Site List to add items to this list C Fig 3 Click the button Edit Site List in the Java Control Panel Applications launched from the sites listed below will be allowed to run after the appropriate security prompts Click Add to add an item to this list We recommend using HTTPS sites where available q FILE and HTTP protocols are considered a security risk We recommend using HTTPS sites where available Including an HTTP Location on the Exception Site List is considered a security risk Location http 210 72 27 32 38066 Locations th
70. erage branch number per unit branch moisture 88 1 Statistically averagebranch moisture trunk radius m 0 03 Statistically average trunk cross section radius radius trunk height m 2 0 Statistically average trunk height trunk number m 3 0 8 Statistically average trunk number per unit trunk moisture 65 Statistically averageTrunk moisture 5 2 Active microwave model 5 2 1 3D Radar Backscatter Model of Forest Canopies 1 Introduction The model was developed by Professor Guoging Sun at University of Maryland and Professor Kenneth Jon Ranson at NASA Goddard Space flight Center and was further improved by Wenjian Ni at institute of remote sensing applications CAS Matrix doubling method was used in the improved model to consider the multiple scattering within forest canopies The model was developed based on 3D Forest scene described by cubic cells Therefore both the horizontal and vertical heterogeneities could be accounted for The scattering components considered in this study include direct backscattering from forest canopy direct backscattering from ground direct backscattering from trunks double scattering between forest canopy and ground double scattering between trunks and ground The copyrights of the model belongs to Professor Guoging Sun and Professor Kenneth Jon Ranson Please contact with Wenjian Ni niwj radi ac cn if you have any questions Reference Sun G Q and K J Ranson A 3 Dimensional Radar Backsca
71. est Model No Name Affiliations amp Crop Model Encoders 7 AT Vegetation growth model 1 Frank Evans evans nit colorado edu Expand ALL Collapse All Key words SMS RBA SRR FATA Model Type Theoretical model Latest Modified 2012 7 12 14 30 00 Submission Date 2005 9 13 12 18 00 Abstract PSL LEAR Has AAS BRAS RAAR MALE ASIA 0 Equation Figure 3 the interface of RT3 Some of the input parameters are described as followed 1 NSTOKES Number of Stokes parameters 1 4 2 NUMMU Number of quadrature directions 3 Type of quadrature Gaussian Double Gauss Lobatto Extra angles 4 Delta M scaling Y or N 5 Ground type Lambertian or Fresnel 6 Output radiance units W W m22 um sr and T EBB brightness temperature R Rayleigh Jeans Tb 7 Output polarization 1Q or VH Fig gives an example of the model input parameters Then run the model and the result can be output as a graph or the txt file 25 Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to sear Q Model List Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java a Atmospheric model runtime environment A E Optical model 6S MODTRAN Microwave model Water model A j Snow Model Stokes Tax 3 AEA 20 Rake o Soil model _ A Forest Model HABRA 4 Delta M N v HF 1 Crop Model Vegetation gro
72. eters can be changed in the corresponding option Press the Run button when the MessageBox shown System echo gt The service Goms has finished the model computational process has been done Press the Results button the results will be popped out shown in figure5 4 d outputBRDF txt is the result file which contains the simulation BRF along with the view zenith angle Press the outputBRDF txt in this interface the simulation results shown below VZA BRDF 65 00000 0 40544 60 00000 0 38800 55 00000 0 37984 50 00000 0 38066 45 00000 0 39207 40 00000 0 33835 35 00000 0 30164 30 00000 0 27477 25 00000 0 25425 20 00000 0 23832 15 00000 0 22671 10 00000 0 21735 5 00000 0 20882 0 00000 0 20107 5 00000 0 19403 10 00000 0 18763 15 00000 0 18182 20 00000 0 17650 25 00000 0 17161 30 00000 0 16706 35 00000 0 16277 40 00000 0 15870 45 00000 0 15479 50 00000 0 15104 55 00000 0 14747 60 00000 0 14422 65 00000 0 14163 In this file BRF is the Bidirectional reflectance factor and VZA is the view zenith angle The canopy BRFs are simulated under the given incidence direction along with the difference of the observation direction view zenith angle symbol represents the view position is in the forward observation 66 3602S 7 1 gt ME E te TA En T C 0 http 210 72 27 32 85 Home ModelView 25 8 Ely OSE Shera ta ua Site DI Links El 4 DEE
73. fine a ground image pixel different from its surrounding surface 4 A high speed option most appropriate in short wave and UV spectral regions that uses 15 cm band model 5 Scaling options for water vapor and ozone column amounts 6 Improved higher spectral resolution cloud parameter database and more accurate Rayleigh scattering and indices of refraction References Berk A Bernstein L S Robertson D C MODTRAN A moderate resolution model for LOWTRAN SPECTRAL SCIENCES INC BURLINGTON MA 1987 Berk A Bernstein L S Anderson G P Acharya P K Robertson D C Chetwynd J H Adler Golden S M 1998 MODTRAN cloud and multiple scattering upgrades with application to AVIRIS Remote Sensing of Environment Elsevier 65 3 367 373 doi 10 1016 S0034 4257 98 00045 5 2 Operation Instruction The main interface of the model is shown as Fig 1 1 2 a The model could be launched by left click on the card Service and then left click on the item Run the service The running interface of Line by line radiative transfer model is shown as Fig 1 1 2 b 20 User Manual Chinese for remote sensing mechanism models Wy de 3 State Key Laboratory of Remote Sensing Science wi Model List Atm Model Water Model Forest Model Snow Model Soil Model input model name to sear Q Model List E Atmospheric model Primary information Parameters References Equation Service Optical model L
74. for cone 5 3 LIDAR 1 Introduction The model was developed in 2000 by Professor Guoging Sun at University of Maryland and Professor Kenneth Jon Ranson at NASA Goddard Space flight Center It was mainly used to simulate the LIDAR waveforms from forest scene described by cubic cells The copyrights of the model belongs to Professor Guoqing Sun and Professor Kenneth Jon Ranson Please contact with Wenjian Ni niwj Oradi ac cn if you have any questions Reference Sun G Q and K J Ranson Modeling lidar returns from forest canopies IEEE Transactions on Geoscience and Remote Sensing 2000 38 6 p 2617 2626 2 Guide The main interface of the model is shown as Fig 5 3 a The model could be launched by left click on the card Service and then left click on the item Run the service The running interface of radar backscatter model is shown as Fig 5 3 b The interpretation of parameters used to derive the model will appear by click on View Example File as shown in Fig 5 3 c Parameters used to derive the model without any interpretations will be given by further click on example file It can be copied into as text file named as in_para_lidar txt Go back to the running interface of the model and click on upload file the interface of uploading driven file will appear as Fig 5 3 d Browse to the file in_para txt and Upload 1t Go back to the running interface and run the model by clicking on
75. ge 1 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 regression coefs for calculating height from DBH all zero means they were calculated already 2 45868 0 5 0 3 LAI G_fucnction and a parameter for calculating reflectance and transmittance of leaves 0 0 0 0 0 0 0 0 0 0 0 0 0 0 for species 2nd 2 40680 0 65 0 3 0 3 reflectance of ground surface value range 0 1 1 number of footprints to be simulated 15 0 15 0 12 5 center x y and radius of the footprint part II stem_map dimension of the forest stand and a list of all trees 0 0 0 0 slope azimuth in degrees 40 0 40 0 40 0 Maximium dimensions of the stand MaxX Max Y MaxZ 0 0 30 0 0 0 30 0 ranges of x and y trees within the range are used for 3D scene 21 45 20 09 15 80 17 40 16 20 3 48 2 0 This is tree lists One line for each tree x y dbh cm topH m Crown_Length Crown_radius species crown shape code 0 for elipsoid and 1 for cone 5 4 Optical model 5 4 1 GOMS model 1 Model introduction GOMS model is on the foundation of Li Strahler geometric optic model which consider the mutual shadowing of crowns and makes the geometric optic model more suitable for the high dense canopy forest Currently the GOMS model can be applied to simulate the relationship between the canopy structure parameters height at which a crown center is located h horizontal radius of an ellipsoidal crown R and sample distribution and the canopy reflectance characteristics The
76. gnal of the vegetation layer is considered to be the sum of signals contributed by each scatter Without considering the effects of the atmosphere and the vegetation fraction the first order model can be written as follows Tbl D AG SG V where Tb1 is the total radiation of the vegetation covered ground D is the upward self emitted brightness temperature of the vegetation AG is the direct soil emission attenuated by the vegetation SG is the downward self emitted emission of the vegetation that is respectively reflected and attenuated by ground surface and vegetation layer V is signal of volume scattering within the vegetation The first order model can simulate the vegetation covered ground quite well especially suited for the short vegetation covers areas Any questions please contact Linna Chai chai bnu edu cn Reference 1 Microwave Scattering and Emission Models and their Applications A K Fung Artech House 1994 2 Electromagnetic wave scattering from some vegetation samples M A Karam A K Fung 69 et al IEEE TGARS Vol 26 No 6 pp 799 808 1988 3 Scattering from arbitrarily oriented dielectric disks in the physical optics regime D M LeVine Meneghini H Lang S Seker Journal of Optical Society of America vol 73 1255 1262 1983 4 Electromagnetic scattering from a layer of finite length randomly oriented dielectric circular cylinders over a rough interface with application to vegetation Karam M A
77. hysical basis of soil moisture retneval using microwave remote sensing is the great difference of Abstract electric constant between free water and dry soil Dielectric constant model can describe the charactenstics of soil dielectric constant changing with soil moisture Equation Fig 4 3 1 a Main interface of Dobson Model 48 PM Simulation platform Lo for remote sensing TS mechanism models State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to search Q Model List Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java Atm Model runtime environment Water Model Forest Model Snow Model Soil Model Crop Model Growth Model Layers bs Add Layers Clear All Expand ALL Collapse All Operational temperature Soil bulk tom perce Clay perce Soil moisture 20 EE 1 41 20 13 150 0 02 1 41 20 13 60 0 04 1 41 20 13 20 60 0 06 1 41 20 13 20 50 0 08 aaa laz a laa a Y Simulation platform v for remote sensing TS mechanism models State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to search Q Model List Tip if the following interface can t be displayed please try to minimize and then maximize th
78. ing of remote sensing data More Water Model Forest Model Snow Model Soil Model Snow Model am Snow cover is an important part on earth surface 3 4 of the fresh water on earth exits in the form of snow and ice In winter 80 of the Eurasia and North America is covered by snow and the average snow cover area of the hemisphere in January is about 46500000 km2 and 3800000 km2 in August In high latitude area snow is the main source of river and underground water More ws Soil Model Soil is one of the important substance in the Earth system It s very important to precisely emissivity of bare soil Currently AIEM is an most simulate important model to simulate soil emissivity The three dielectric constant model Mironov Dboson and Frozen Dielectric model provide the ability to simulate dielectric constant in different conditions More State Key Laboratory of Remote Sensing Science Input model name to searc nm Crop Model Crop models have helped understanding of any to User Manual Chinese 2 Growth Model Vegetation growth in the model could simulate the light interception by plant canopies and the interpretation of vegetation reflectance in terms of biophysical characteristics The numerous physics based crop models be generally classified into three can vegetation growth by computer using the principles of vegetation phy
79. is page to refresh this page or update your Java Atm Model runtime environment Water Model Forest Model Snow Model Soil Model E Crop Model Growth Model Layers 25 Add Layers Clear All Expand ALL Collapse All Operational temperature Soil bulk de sand perce Clay perce Soil moisture E AAA 141 20 13 20 60 0 02 ES 141 20 13 20 60 0 04 1 41 20 1 3 20 60 0 06 1 41 20 1 3 20 50 0 08 asl gt Last request has been cleared System echo gt The service has been switched to Dobson System echo gt Please wait for the service to be ready System echo gt The service has been ready System echo gt ID has been retrieved 8 System echo gt The service has started and it will cost some time about 5 0 minutes System echo gt The service Dobson has finished 4 um Run Results Fig 4 3 1 c Interface of Model running finished PA EGR Dil e Dobson out Dobson ct AA Graph of Dobson Value vsm dielec_constant real dielec_constant im frequency GHz T AE Fig 4 3 1 d Results of Model running 49 4 3 2 Mironov Model 1 Brief introduction The Mironov model is based on the refractive mixing dielectric model It was developed from 15 soil types dielectric measurements covering a wide range of moisture and frequency conditions at the temper
80. jian Ni at institute of remote sensing pce po CAS Matrix doubling Pakoja Gas depos in the lpia model to Abstract consider the multiple scattering within forest canopies e model was develo 3D Forest z scene described by cubic cellso Therefore both the horizontal and vertical heterogeneities could be accounted for The scattering components considered in this study include bar backscattering from forest canopy direct backscattering from ground direct backscattering from trunks do a scattering between forest canopy and ground double scattering between palit ab cond groun Equation x Fig5 2 1 a Main interface of Radar Backscatter Model 59 Chinese SP Simulation platform UI for remote sensing ap mechanism models Model List Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java Atmospheric model runtime environment Water model Snow Model Soll model Forest Model Passive microwave model 3 SAR model Incoherent model Coherent model 2 Lidar model Optical Model Crop Model Vegetation growth model Expand ALL Collapse All Upload profile of SAR Upiocad File View Exampie File Fig5 2 1 b The running interface of Radar Backscatter Model Please refer to the following inputs or download the example file The meanings of the above parameters fpartl parameters for leaf n ff leaf shape n is n
81. l Siaa U Observatory de Physique du Globe De Clermont Ferrand 2 J C Roger Universit Blaise Pascal 24 Avenue des Landais 63177 Aubigre Encoders France A Laboratoire d ique Atmospherique Universite des Sciences et 3 bal 3 L Deuze and M Techniques de Uile u e r de Physique Fondamentale 59655 Villeneuve d Ascq Cedex France European Center for Medium range Weather Forecasting 4 J J Morcrette Shinfiels Park Reading Bershire RG2 9AX United Kingdom Key words null Model Type HPR Latest Modified 2012 11 1 0 00 00 Submission Date 2012 11 7 0 00 00 The 6S code is a basic RT code used for calculation of lookup tables in the MODIS atmospheric correction algorithm It enables accurate simulations of satellite and plane observation accounting for elevated targets use of anisotropic and lambertian surfaces and calculation of gaseous absorption The code is based on the method of successive orders of scatterings approximations and its first vector version 6SV1 capable of accounting for radiation polarization It was publicly released in May 2005 Abstract Figure 1 The main interface of 6S model The model could be launched by left click on the card Service and then left click on the item Run the servicel Click the button start to begin calculate The running interface of Line by line radiative transfer model is shown as Fig 2 Next the input parameter will be explained in order 14 a
82. l uses the matrix doubling approach to include incoherent multiple scattering in the snow and the model combines the Dense Media Radiative Transfer Model DMRT for snow volume scattering and emission with the Advanced Integral Equation Model AIEM for the randomly rough snow ground interface to calculate dry snow emission signals Please refer to the references for details References 1 Jiang Lingmei Passive Microwave Remote Sensing of Snow Water Equivalent Study Beijing Normal University Ph D thesis 2005 2 Jiang L Shi J Tjuatja S et al A parameterized multiple scattering model for microwave emission from dry snow Remote sensing of Environment 2007 111 2 357 366 3 Fung K 1994 Microwave Scattering and Emission Models and Their Applications Norwood MA Artech House 4 Tjuatja S Fung A K amp Dawson M S 1993 An Analysis of Scattering and Emission from Sea Ice Remote Sensing Reviews 7 83 106 2 The quick guide of the model The GUI of the model is shown as in Fig 3 1 1 a Click on the Service tab and click on the link of run the service to initialize the running of the model Then fill out the forms to provide the input parameters of the model shown as Fig 3 1 1 b The input parameters include incident angle Degree the incidence angle in degree Observing frequency The observation frequency in GHz Snow depth snow depth in meter Snow density
83. lectromagnetic wave scattering from some vegetation samples M A Karam A K Fung et al IEEE TGARS Vol 26 No 6 pp 799 808 1988 3 Scattering from arbitrarily oriented dielectric disks in the physical optics regime D M LeVine Meneghini H Lang S Seker Journal of Optical Society of America vol 73 1255 1262 1983 4 Electromagnetic scattering from a layer of finite length randomly oriented dielectric circular cylinders over a rough interface with application to vegetation Karam M A and A K Fung Int J of Remote Sensing Vol 9 No 6 1109 1134 1988 5 Emission of Rough Surfaces Calculated by the Integral Equation Method With Comparison to Three Dimensional Moment Method Simulations Chen K S Wu T D Tsang L JEEE Trans Geosci Remote Sensing 2003 35 731 749 2 Instruction The model home page is shown as fig 5 1 a Click Service gt Run the service button then you enter the model running interface as shown in fig 5 1 b Click start button the model will be running You can input the parameters according to the tips shown on the interface After each input you should click submit to do the next like fig 5 1 c As the model ends running the dialog box will show system echo gt the service MatrixFT has finished And the button submit is disabled You can check the result in the page e g the emissivity of H and V polarization from 2 5 to 87 5 Also you can click Download butt
84. liations Encoders 1 Keping Du State Key Laboratory of Remote Sensing Sdence Key words BRDF QAA water forward model Model Type Quasi analytical model Latest Modified 2013 7 15 0 00 00 Submission Date 2013 7 15 0 00 00 Abstract Compute the remote onang reflectance based on absorption and back scattering coefficients of water A act e g phytoplankton colored dissolved organic matter detritus and particles Equation e Fig 2 1 a GUI of BRDF QAA model P Simulation platform UD for remote sensing up mechanism models Model List Atm Model Water Model Forest Model Snow Model Soil Model Model List Tip if the following terface can t be displayed please try to minimize and then mawmize this page to refresh this e OF u e your lava y Atmospheric model runtene emaronmert Water model 3 Optical model BROF QAA t em Sno ode Soil For fodel Solar zenit angle 10 lewnadir angle 45 Crop Mode Vegetation gri model View azimuth angle 135 Absorption coefficient of phytoplankton al 440nn 0 01 Back scatienng cosf cient of partcies 0 1 Back scatlering parameter of partcies 0 5 Absorption coeficiente of COOM and detritus at 440nen 05 Run Fig 2 1 b GUI of model running 34 SUD Simulation platform Ua for remote sensing id mechanism models 4 Model List Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your J
85. m spatial distribution of trees is replaced by the Neyman distribution which is able to model the patchiness or clumpiness of a forest stand 2 the multiple mutual shadowing effect between tree crowns is considered using a negative binomial and the Neyman distribution theory 3 the effect of the sunlit background is modeled using a canopy gap size distribution function that affects the magnitude and width of the hotspot 4 the branch architecture affecting the directional reflectance is simulated using a simple angular radiation penetration function and 5 the tree crown surface is treated as a complex surface with micro scale structures which themselves generate mutual shadows and a hotspot Professor Chen J M hold all copyright of the model Any questions please contact chen ccrs nrcan gc ca Reference Chen J M and S G Leblanc Chen JM A Four Scale Bidirectional Reflectance Model Based on Canopy Architecture IEEE Transactions on Geoscience and Remote Sensing 1997 35 5 p 1316 1337 2 Description of model usage Click the tab of Service and click the button of Run the service to enter the main interface of Four scale model The main interface of Four scale model is shown in Figure 6 3 3 a Click the button of Run to carry out the Four scale model The operating state will display in the text box during model running process which is shown in Figure 6 3 3 b After finished the program a text box will display that system e
86. merging from an atmosphere and is hence best suited for use in remote sensing applications The solution method for the multiple scattering aspect of the problem is that of doubling and adding This approach computes the radiative properties of the medium rather than the radiance field itself so that radiances exiting the atmosphere may be easily found for many boundary conditions after the solution is computed Reference Evans K F amp Stephens G L 1991 A NEW POLARIZED ATMOSPHERIC RADIATIVE TRANSFER MODEL Journal of Quantitative Spectroscopy amp Radiative Transfer 46 413 423 Cheng T H Gu X F Chen L F Yu T amp Tian G L 2008 Multi angular polarized 24 characteristics of cirrus clouds Acta Physica Sinica 57 5323 5332 2 Operation instruction It is easy to find the RT3 in the listed atmospheric model The meta data are classified into the Primary information the Parameters the References the Equation and the Service Fig 1 The URL to visit the web service of the model can be found in the Service tab Fig 2 and you can follow the instructions on the interface to run the model Fig 3 Model List Atm Model Water Model Forest Model Snow Model Soil Model Model List Atmospheric model Primary information Parameters References Equation Service E Optical model 6S MODTRAN Model ID M00035 RT3 Microwave model Model Name fas AS Sie Water model Snow Model Soil model de For
87. meters soil temperature C 30 Ground temperature volume moisture 30 soil moisture standard deviation m 0 02 Soil roughness standard deviation surface correlation length m 0 1 Soil roughness average slope Please input the vegetation parameters canopy depth m 0 19 Canopy depth excluding stalk vegetation temperature C 26 3 Average temperature within the vegetation leaf radius m 0 0267 Statistically average radius of round leaf leaf thickness m 0 00023 Statistically average thickness of round leaf leaf number m 3 316 Statistically average leaf number per unit leaf moisture 82 2 Statistically average leaf moisture branch radius m 0 0009 Statistically average branch cross section radius branch height m 0 05 Statistically average branch height branch number m 3 285 Statistically average branch number per unit branch moisture 88 1 Statistically averagebranch moisture 6 2 Active microwave model 6 2 1 First order microwave crop scattering model Introduction First order microwave crop scattering model was coded based on MIMICS model which was developed by Prof F T Ulaby Based on phase matrix of crop scatterers and first order radiative transfer model radar backscattering coefficients from crop canopy are estimated The copyright of MIMICS model belongs to Prof F T Ulaby If any problem related to the web based application please contact Dr Du Jinyang dujyOradi ac cn
88. ms from forest scene described by cubic cells Equation x Fig5 3 a Main interface of LIDAR Model Chinese PM Simulation platform LAR for remote sensing e mechanism models State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to sea Q Model List Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java amp Atmospheric model runtime environment El Water model EH Snow Model Soil model amp Forest Model Passive microwave model SAR model amp Lidar model E i i gt gt Upload profile of Lidar Upload File View Example File Lidar waveform of forest Optical Model Crop Model Vegetation growth model Expand ALL Coll All Fig5 3 b The running interface of LIDAR Model 63 Please refer to the following inputs or download the example file Parameters and their meanings 1 instruction of input parameters fpartl parameters of lidar and general parameters of trees 3 5 0 5 3 0 pulse width ns power level to define the width number of STDV to define the tail of the pulse 0 5 0 2 cell size in x y and in z 2 number of species in the stand conifer and broad leaf 0 00 0 0 0 0 0 0 0 0 0 0 0 regression coefs for calculating height from DBH all zero means they were calculated already 2 465868 0 5 0 3 L
89. ncoherent mode model RPTE e Coherent model e 1DMWRTM Forest Model j n Microwave model Sale Lidar model e Lidar waveform of forest AS Erie A o e ARTS oe T T cS y i Optical model e BRDF_QAA Optical Model perdio cd BRDF ater model EE Se E model abmrals Microwave model e DA i ES SSS 2 2 M Passive microwave e First order model Passive microwave e Matrix Doubling model EN model QCA DMRT EZ sie pte A Active microwave QCA DMRT sail te a e ES Snow Model model e IE e MES stamens e pee Crop Mode PROSPECT SAL Puce MOOR e Ray tracing bicontinuous Tia e DMRT_AIE e 4 SCALE T Optical Model orb Microwave model z E e SAIL TIR Soil model Optical Model e HAPKE Forest Model e Mironov Crop model 4 Dielectric model e Dboson Vegetation growth e Zeli e Frozen_Dielectric model Shrub model e WOFOST Global vegetation model State Key Laboratory of Remote Sensing Input model name to search Model List Atmospheric model Water model runtime environment Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java E Snow Model Soil model Forest Model amp Crop Model Passive microwave model cm 0 05 IN 15 Active microwave model sun E Optical Model pts ait Ns AAA cw 0 006 400 PROSPECT SAIL ii KU
90. nformation Parameters References Equation Service E Water model Snow Model E Soil model Model ID M00006 E Microwave model IEM Model Name Advanced Integral Equation Model Optical Model Dielectric model Forest Model ml le ab a Center for Space amp Remote Sensing Res Nat Central Uni Vegetation growth model 1 Chen Kunshan Chang Ee E a AE a las el so Expand ALL Collapse All No Name Affiliations Key words scattering surface roughness soil moisture Model Type Theoretical model Latest Modified 2014 9 17 0 00 00 Submission Date 2014 9 17 0 00 00 AIEM model was derived based on IEM model with a more complete expression of the single scattering terms in the IEM surface scattering model The complementary components for the scattered fields are Abstract rederived based on the removal of a simplifying assumption in the spectral oh ack cda io of Green s function In addition new but compact expressions for the complementary field coefficients can be obtained after quite lengthy mathematical manipulations Equation Fig 4 1 1 Main Interface Model inputs are based on human computer interactions The input parameters are put by users based on the valid range defined by the program and indicated on the input interface Specific input parameters include 1 Frequency valid range 0 1 18 7 GHz 2 Incidence angle valid range 5 0 60 0 degree 3 RMS height valid range 0 1 3 0 cm 4 Correlation l
91. nitial incident angle End of incident angle Step of incident angle in degree Polarization angle two angle parameters to control the polarization of incident wave 0 and O indicate V polarized incidence 180 and O indicate H polarized incidence Frequency incident wave frequency in GHz Snow layer number number of snow layers Then input the snow parameters of each snow layer in the table below Snow density in kg m 3 Snow grain radius in mm Stickiness QCA theory stickiness parameter Snow temperature in K Snow layer depth in meter Then input the soil parameters Soil moisture in RMS height and Correlation length in cm Correlation function select from the drop down menu Then click on the Run button to start the model simulation When the simulation completed click on the Results to see the simulation results as shown in Fig 3 2 1 c The X axis is the incident angle in degree the Y axis is the polarized microwave backscattering coefficient sigmaQ Click on the file names to download the results in to your local computer If the polarization angles are set to be 0 and 0 the model will simulate the VV and HV polarization backscattering coefficient In this case the VV and HV in the result file stand for total VV and HV backscattering coefficient respectively the volume_VV and volume_
92. nment bos LN 0006 Start wavelength fo End wavelength gt Last request has been cleared gt The service has been switched to SAILPROSPECT gt Please wait for the service to be ready gt The service has been ready gt ID has been retrieved 41 gt The service has started and it will cost some time about 0 5 minutes please wait gt The service SAILPROSPECT has finished State Key Laboratory of Remote Sensing Science Input model name to search Q 1 5 Start 400 Results 1500 m gt Fig 15 The interface of a model 11 4 Comments amp feedbacks The platform is technologically designed and developed by Dr Wenhang Li If you have any suggestion or comments please contact with liwh Oradi ac cn 12 Part Il User manuals of the online models 1 Atmosphere 1 1 Middle and low spectral resolution model 1 1 1 6S 1 Brief Introduction 6S Second Simulation of the Satellite Signal in the Solar Spectrum atmosphere correction model was developed by Eric F Vermote et al 1997 in the basic of 5s model 6S model can simulate the viriation of sunlight affected by atmosphere when it transmits in sun surface sensor Compared to 5s model altitude of target non Lambet surface and new absorption gas types CH4 N20 CO are considered It use the art approximation algorism and SOS algorism to
93. nput which is shown in Fig 1 1 2 c The content can be copied to the text area on the previous page shown in Fig 1 1 2 b The parameters in the example have Interpretations as follow Line 1 1 5 atmosphere model AM 1 tropical model 2 midlatitude summer model 3 midlatitude winter model 4 subarctic summer model 5 subarctic winter model 6 U S standard 1976 7 user define 6 10 type of path 1 horizontal 2 slant path 3 slant path to ground or space Line 2 11 20 CO2 mixing ratio 21 30 scaling factor for water vapor column 31 40 scaling factor for Ozone column Line 3 1 5 aerosol model 0 no aerosol 1 Rural VIS 23km 2 Rural VIS 5km 21 25 Cloud Rain extension O no cloud free other parameters use the default value Line 4 when AM 7 1 5 atmosphere layer number 5 10 1 supply molecular density by 22 layer 15 40 title if layer number is 34 the next 34 lines are user defined profiles of atmosphere trace gasses 3th line from bottom 1 10 observer height 11 20 final height 21 30 zenith angle 2th line from bottom 1 10 initial frequency 11 20 final frequency 21 30 frequency increment 31 40 Full Width at Half Maximum Fig 1 1 2 d gives an example of the model input parameters choosing standard atmosphere model US1976 Then run the model by clicking Run Fig 1 1 2 e Result is saved as Usr MODOUT2 dat User Manual Chinese fy gay Simulation platform
94. odel Soil Model Primary information Parameters References Equation Service Model ID M00003 Model Name PROSPECT SAIL No Name Affiliations Encoders ag 3 1 S Jacquemoud INRA Bioclimatologie Montfavet France Key words Leaf canopy reflectance Model Type Physical model 2012 11 1 0 00 00 2012 11 7 0 00 00 PROSPECT model pioneered the simulation of directional hemispherical reflectance and transmittance of various sooo monocotyledon and dicotyledon species at leaf level as well as senescent Latest Modified Submission Date Abaroa eaves over the solar spectrum from 400 nm to 2500 nm It is based on the Allen et al 1969 representation of the leaf as one or several absorbing plates with rough surfaces giving rise to isotropic scattering Ry a Ry og ty Equation Tye XT y 50 y x t 90 n 1 1 1 a n Fig 13 The meta data of a model The meta data are classified into the Primary information the Parameters the References the Equation and the Service Fig 13 The URL to visit the web service of the model can be found in the Service tab Fig 14 and you can follow the instructions on the interface to run the model Fig 15 The specific meta data and the operations of all integrated models are described in the second part Simulation platform for x x SY Simulation platform Ya Model List Input model name to searc Q Atmospheric model Wa
95. of Brightness temperature at 18 7GHz Column 6 Horizontal polarization of Brightness temperature at 18 7GHz Column 7 Vertical polarization of Brightness temperature at 23 8GHz Column 8 Horizontal polarization of Brightness temperature at 23 8GHz Column 9 Vertical polarization of Brightness temperature at 36 5GHz Column 10 Horizontal polarization of Brightness temperature at 36 5GHz Column 11 Vertical polarization of Brightness temperature at 89GHz Column 12 Horizontal polarization of Brightness temperature at 89GHz ED Simulation platform for remote sensing lt mechanism models Model List Atm Model Water Model Forest Model Snow Model Soil Model Model List Atm Model Primary information Parameters References Equation Service Water Model Forest Model Snow Model Model ID M00026 Soil Model Crop Model Model Name One Dimensional Microwave Atmospheric Radiative Transfer Mode Growth Model Expand ALL Collapse All No Name Affiliations Encoders 1 Bill Olson Key words Atmosphere Microwave Radiative transfer Microwave Radiometer Model Type Theoretical model Latest Modified 2014 3 29 0 00 00 Submission Date 2014 3 29 0 00 00 The model is able to simulate radiance at top of atmosphere received by Satellite by input of atmospheric profiles include height profiles pressure profiles temperature profiles humidity profiles cloud and other hydrometer profiles microwave radiometer characterization inclu
96. of crown spheroid or cone cylinder Input parameters Ha 10 0 Height of the lower part of the tree trunk space Hb 7 0 Height of cylinders A 0 00 Branch structure parameter determines the functional of G A is related with angle 0 C 0 50 Branch parameters determine the functional of G C is a constant LAI 2 40 Leaf area index LAI B 10000 0 Domain size pixel size D 1000 Number of trees in the domain B n 40 Number of quadrats in the domain B R 1 30 Radius of the tree crowns m2 2 Cluster mean size SZA 45 0 Solar zenith angle SZA BAND 670 0 865 0 1600 00 1600 0 Band wavelength range The reflectance and transmittance correspond to the four spectral bands G1 0 050 GZ1 0 001 G2 0 270 80 GZ2 0 010 G3 0 200 GZ3 0 005 G4 0 200 GZ4 0 005 T1 0 070 TZ1 0 001 T2 0 470 TZ2 0 010 T3 0 100 TZ3 0 005 T4 0 100 TZ4 0 005 TT1 0 020 TT2 0 300 TT3 0 150 TT4 0 150 Ws 0 05 Mean width of element shadows cast inside tree crowns OMEGA 0 98000 Clumping index for trees GAMMA_E 1 410 Clumping index for shoots ALPHA_B 10 0 Branches angle ALPHA L 20 0 Shoots angle LI 0 800 Sub foliage area index Fr 0 00 Overlapping area ALPHA 13 0 Half apex angle RATIO 0 20 Leaf thickness and width ratio Rb 0 1 Branch thickness DeltaLAI 0 20 Increase in leaf area index 6 3 4 TRGM model 7 Vegetation growth model 7 1 Crop 7
97. on Date 2014 7 1 12 18 50 Based on the semi empirical dielectric mixing model for soil water mixture an extension of model has been made to describe the dielectric constant change of frozen soil as a function of temperature An Abstract empirical function Wu A T 273 2 B has been used for estimating the fractions of liquid water and ice in ozen soil where Wu is unfrozen water content A and B are parameters related to soil texture T is temperature in K The item for calculation of dielectric constant of ice fraction is also added to Equation Figure 4 3 3 a Main interface of the model Simulation platform 7 for remote sensing a mechanism models State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Model List Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java x runtime environment Expand ALL Collapse All Layers 12 Add Layers Clear All Observing f Sandc Clayc bd ts vms 187 120 115 1 116 02 a 18 7 20 15 1 112 02 18 7 120 115 14 18 102 187 120 45 H 14 102 a gt 2 a im Ka Figure 4 3 3 b running interface of the model 53 SD Simulation platform wy for remote sensing a e mechanism models Model List Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java
98. on to download the result as text and graph 55 EM Simulation platform Wid for remote sensing e mechanism models State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to search Q Model List e Atm Model Primary information Parameters References Equation Service Water Model E Forest Model Snow Model Model ID M00046 Soil Model Crop Model Model Name Matrix Douling model Growth Model Expand ALL Collapse Al No Name Affiliations Encoders 1 Chai Linna chai bnu edu cn Key words Passive microwave high order radiative transfer solution Matrix Doubling Model Type Empirical Model Latest Modified Submission Date Matrix Doubling MD algorithm is developed based on the ray tracing technique which accounts for Abarraa mune scattering inside the Fao pes layer and that between vegetation and soil surface To calculate 3 the emissivity with this model the vegetation is divided into N sub layer that are assumed to be symmetrical with respect to the azimuth Equation PM Simulation platform y y for remote sensing fr a pe mechanism models RS os 4 State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to search Q Model List Atm Model E Water Model Forest Model Snow Model
99. popped out you should set up your client environments as follows Java Application Blocked Application Blocked by Java Security For security applications must now meet the requirements for the High or Very High security settings or be part of the Exception Site List to be allowed to run More Information Reason Your security settings have blocked a self signed application from running Fig 1 The warning message 1 Click Java in your Control Panel SE Control Panel All Control Panel Items Search Control Pane Adjust your computer s settings e Action Center tts Backup and Restore Credential Manager P3 Desktop Gadgets amp Display da Fonts E Indexing Options GB Keyboard E Network and Sharing Center E Performance Information and Tools 3 Power Options 3 Region and Language Speech Recognition UL Taskbar and Start Menu fl Windows CardSpace g Windows Update View by Small icons Y lig AutoPlay EB Color Management o Default Programs e Devices and Printers E Folder Options Y HomeGroup P Mouse Administrative Tools the BitLocker Drive Encryption Date and Time wy Device Manager Ease of Access Center dl Getting Started Internet Options Location and Other Sensors Parental Controls dE Phone and Modem Recovery i Sound Notification Area Icons a Personalization BJ Programs and Features E RemoteApp and Desktop Connections Sync Cent
100. quation The matrix doubling approach is used to include multiple scattering and combines the Dense Media 2005 9 13 0 00 00 lative Fig 3 1 1 a The GUI of the model service User Manual Chinese A SD Simulation platform TS for remote sensing mechanism models State Key Laboratory of Remote Sensing Science Input model name to sea Q Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java runtime environment Model List Atm Model Water Model Forest Model Snow Model Soil Model Model List Atmospheric model Water model Snow Model 3 Passive microwave model Matrix Doubling QCA DMRT Active microwave model Optical model a E Add Layers Clear All Layers 2 Soil model i p Forest Model Incident an Observing f Snow dept Snow dens Radius mm Snow wetn Surface roo SU T 50 118 7 150 0 3 05 0 1 10 Crop Model 50 36 5 50 0 3 05 io Ho Vegetation growth model Expand ALL Collapse All Ed il gt Run Results Fig 3 1 1 6 The input parameters of model 3 1 2 Multi layer passive DMRT QCA snow microwave emission model 1 Introduction to model 39 The multi layer passive DMRT QCA snow microwave emission model is based on the theory and model of Prof Leung Tsang of University of Washington The collective scattering effect and multipl
101. quation x Figure 5 4 a Main interface of GOMS model 3602S lie 7 1 gt ki Be toe TA Fah O O http 210 72 27 32 85 Home ModelCalculate 25 g v Q ARESANEDA im E FYE Links GEk ORE EPRemote Google ERE O Sia Hy ore EEE g ERE x ayers x l Simulation platform for rem X l Simulation platform for rem X Model list Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java ae Mo del runtime environment o Water Model pun Forest Model E Snow Model Soil Model Crop Model A a Growth Model nRA2 0 10 0 1 biR 0 10 1 733 h b 0 10 2 577 Fxnand All Collanse All Ahib 0 100 0 769 G 0 1 0 20 C 0 1 0 55 Z 0 1 0 05 o o _ Layers br Add Layers Solar zenith Solar azimu View zenith view azimut 45 000000 0 000000 65 000000 0 000000 45 000000 0 000000 60 000000 0 000000 45 000000 0 000000 55 000000 0 000000 45 000000 0 000000 50 000000 0 000000 as annn nananana aa nnana In nannnn Run Results 5 4 b Main running interface of GOMS model 67 nee 0 10 0 1 bR 0 10 1 733 hib 0 10 srr Ahib 0 100 0 769 G 0 14 0 20 C1 0 55 Z 0 1 0 05 Layers 27 Add Layers Clear All solar zenith solar azimu wiew zenith View azimut 46 000000 BS 000000 0 000000 45 000000 O 000000 60 000000 jO 000000 45 000000 0 000000 5
102. r model for passive active microwave remote sensing applications Part II Simulation of TRMM observations Journal of Applied Meteorology 2001a 40 7 1164 1179 Olson W S P Bauer N F Viltard E E Johnson W K Tao R Meneghini and L Liao A melting layer model for passive active microwave remote sensing applications Part I Model formulation and comparison with observations Journal of Applied Meteorology 2001b 40 7 1145 1163 Kummerow C On the accuracy of the Eddington approximation for radiative transfer in the microwave frequencies Journal of Geophysical Research Atmospheres 1993 98 D2 2757 2765 2 Operation Instruction The current version of the model is only applicable to AMSR E The model calculates brightness temperature observed by AMSR E at top of atmosphere according to the input of surface parameters and the corresponding atmospheric profile The basic information of the model can be find by following hyper link Atm Model gt Microwave Atm Model gt IDMWRTM as is shown in figure 1 1 4 a other information of the model can be acquired by click the left tabs in the page By clicking the Service tab users can be guide to parameters setting page of the model the page is shown in figure 1 1 4 b The setting of the input parameters are described in the following content The first parameter 1s surface temperature in unit of K The second parameters are surface emissivity corresponding to each band of AM
103. rameter month day hour column 1 2048 igeom 6 HRV SPOT parameter month day hour longitude latitude igeom 7 TM LANDSAT parameter month day hour longitude latitude atmospheric model name idatm value range 0 9 idatm 0 no gas idatm 1 tropical atmosphere idatm 2 middle latitude summer atmosphere idatm 3 middle latitude winter atmosphere idatm 4 subarctic summer idatm 5 subarctic winter idatm 6 US standard atmosphere idatm 7 user defined 34 layers include altitude km gt pressure mb temperature k vapour density g m 03 density g m idatm 8 input total quantity of vapour and 03 TK g cm RA cm atm idatm 9 read radiosonde data aerosol type name laer value range 0 12 iaer 0 no aerosol laer 1 continental type laer 2 oceanic type iaer 3 urban type iaer 5 sand type iaer 6 biomass burning type iaer 7 stratosphere model iaer 4 user defined percentage of 4 aerosol type 0 1 16 parameter input c 1 ash c 2 water soluble c 3 ocean c 4 smoke iaer 8 10 user defined aerosol model laer 8 multimodel normal distribution iaer 9 improved gamma distribution iaer 10 Junge power exponent distribution iaer 11 define the aerosol model use the data of sun photometer laer 12 use calculated result print the file name aerosol concentration parameter retrict visibility gt 5 name v value range gt 5or0or 1 v bisibility km v 0 input AOD550
104. s to see the simulation results as shown in Fig 3 3 1 c The X axis is the wavelength the Y axis is the directional hemispherical reflectance plane albedo Click on the file names to download the result files to your local computer State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Model List Atm Model Primary information Parameters References Equation Service Water Model Forest Model Snow Model Model ID M00005 Soil Model Crop Model Model Name bic PT Growth Model Expand ALL Collapse All No Name Affiliations Encoders 1 Xiong Chuan chuan xn gmail com Key words Snow albedo BRDF bicontinuous ray tracing Model Type Physical model Latest Modified 2012 7 12 14 30 54 Submission Date 2005 9 13 12 18 50 Abstract This model provides albedo and BRDF simulation of snow surface based on Bicontinuous random z medium and ray tracing technique Equation x Fig 3 3 1 a The GUI of the model service he A y w State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to sea Q viodel List i a Atm Model MonteCarlo superposition 1000 Equivalent grain rad 095 Water Model Forest Model sa Snow Model B parameter k Snow density g cm 0 35 Soil Model Crop Model Diffuse incidence 42900 Snow depth m 5 Growth Model xp
105. s then sub classed into second class models and third class models which are listed in the page of ModelList Fig 12 Atm Model lt gt Atmospheric Remote Sensing model refers to the detection methods Simulation platform for x x and technologies that the instruments do not directly contact with the atmosphere then measure the ingredients motion the and states and meteorological elements values in a distance Both weather radars and weather satellites fit into the category of Atmospheric Remote Sensing More eq PM Simulation platform Vea for remote sensing mechanism models Model List Atm Model Water Model The applications of remote sensing in hydrology and water resource include water resource investigation watershed planning watershed distribution changes estimation area and of runoff water depth temperature cover soil moisture ice monitoring investigation of water snow estuarine coastal zones and offshore topography marine research and so on More a cin 210 72 27 32 85 Home Index Forest Model The estimation of forest quantitative structure parameters is a main task of remote sensing The estimation of forest structure parameters at high accuracy should be based on the full understanding of interactions between optical or microwave signals and forest stands which could be achieved by forward model
106. siological ecology as well as the environmental limitations Therefore vegetation growth model can provided types geometrical detailed models radiation information needed transfer models by remote sensing and computer models models More More 3 3 Model List Fig 11 The Index page In the page of ModelList Fig 12 click the model name and the meta data of the model will hlighted in blue be displayed The models which have been integrated into the platform are hig Simulation platform for x D 210 72 27 32 85 ModelCategory All D Simulation platform A for remote sensing ww mechanism models 4 ties Is er Manual Chine JA State Key Laboratory of Remote Sensing Scien Input model name to searc Model List iva tf AA O LS E el re e 6S e The first order radiative da pena lar aie Pame a reee on ptical mode e Line by line radiative e The higher order radiative z transfer model microwave model transfer solution sti e Matrix Doubling Method mode q e DMWRTM e Incoherent model SAR model Microwave model a ane Forest Model atea model __ e ARTS Lidar model e Lidar waveform of forest Optical model e BRDF_QAA GOMS Water model Optical Model GORT Microwave model e CMod5 P e Kernel Bn BRDF be cet A model abmrals Passive microwave e Matrix Doubling 5 n am
107. surements against which they are validated and with computational times that greatly facilitate the application of the line by line approach to current radiative transfer applications LBLRTM s heritage is in FASCODE Clough et al 1981 1992 Some important LBLRTM attributes are as follows ethe Voigt line shape is used at all atmospheric levels with an algorithm based on a linear combination of approximating functions extensively validated against atmospheric radiance spectra from the ultra violet to the sub millimeter the self and foreign broadened water vapor continuum model MT_CKD as well as continua for carbon dioxide Among the other continua included in MT_CKD are the collision induced bands of oxygen at 1600 cm 1 and nitrogen at 2350 cm 1 HITRAN line database parameters are used including the pressure shift coefficient the half width temperature dependence and the coefficient for the self broadening of water vapor a Total Internal Partition Function TIPS program is used for the temperature dependence of the line intensities CO2 line coupling is treated as first order with the coefficients for carbon dioxide generated from the code of Niro et al 2005 and Lamouroux et al 2010 CH4 line parameters include line coupling parameters for the v3 3000 cm 1 and v4 1300 cm 1 bands of the main isotopologue References Clough S A M W Shephard E J Mlawer J S Delamere M J lacono K Cady Pereira S Boukabara an
108. t Atm Model Water Model Forest Model Snow Model Soil Model Input model name to seai Q Model List Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java Atmospheric model runtime environment Water model Snow Model Soil model Forest Model Crop Model a Passive microwave model i ae Active microwave model D 40 000 xu 0 045 THICK 1 600 Optical Model PROSPECT SAIL BASELINE 0 00050 ELEMENT l2 000 C_FACTOR 200 000 KUUSK 13 L_FACTOR 40 000 P_FACTOR 1 000 W_FACTOR 100 000 4 SCALE LIBERTY RGM SAIL TIR TRGM RAPID Vegetation growth model Expand ALL Collapse All Figure 6 3 2 a The main interface of LIBERTY model 77 State Key Laboratory of Remote Sensing Science Model List Atm Model Water Model Forest Model Snow Model Soil Model Model List Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java Atmospheric model runtime environment Water model Snow Model Soil model Forest Model Crop Model Passive microwave model Active microwave model D 40 000 xu 0 045 THICK 1 600 Optical Model PROSPECT SAIL BASELINE o 00050 ELEMENT 2 000 C_FACTOR 200 000 KUUSK T 4 SCALE LIBERTY RGM SAIL TIR TRGM RAPID a Vegetation growth model Expand ALL Collapse All L_FACTOR 40 000 P_F
109. t input variables to vegetation canopy reflectance models In the model the blade or needle consider as a collection of cells The multiple scattering among the cells were also considered The output spectrum is a function between three main chemical structure parameters the average diameter of the cells the leaf thickness and the gap sizes among cells and absorption coefficient of the leaf chemical elements chlorophyll water cellulose lignin and protein Professor Dawson hold all copyright of the model Any questions please contact terry dawson ecu ox ac uk Reference Dawson T P P J Curran and S E Plummer LIBERTY Modeling the Effects of Leaf Biochemical Concentration on Reflectance Spectra Remote Sensing of Environment 1998 65 1 p 50 60 2 Description of model usage Click the tab of Service and click the button of Run the service to enter the main interface of LIBERTY model The main interface of LIBERTY model is shown in Figure 6 3 2 a Click the button of Run to carry out the LIBERTY model The operating state will display in the text box during model running process which is shown in Figure 6 3 2 b After finished the program a text box will display that system echo gt The services Liberty has finished After that click the button of Results to display the model simulation results as shown in Figure 6 3 2 c gt State Key Laboratory of Remote Sensing Science SE 35 A x t N Model Lis
110. t profil Atmospheri Atimospheri Atmospheri Cloud Liqui Rain Profile Snow Profil 0 000000 100 000 296 300 1007 67 0 000000 0 000000 0 000000 0 500000 86 1300 296 060 952 660 0 000000 0 000000 0 000000 1 00000 82 0800 294 220 901 260 0 000000 0 000000 0 000000 Ill m System echo gt Please wait for the service to be ready System echo gt The service has been ready System echo gt ID has been retrieved 32 System echo gt The service has started and it will cost some time about 0 5 minutes Simulated Brightness temperature of AMSR E at top of atmosphere 3 Tb 6 925Y Tb 6 925H Tb 10 65Y Tb 10 65H Tb 18 7Y Tb 18 7H Tb 23 8Y Tb 23 273 3233 215 5714 275 6597 220 3867 283 0105 246 3286 286 0119 269 1979 286 991 System echo gt The service 1DMWRTM has finished 4 4 lis ll y Run Results Fig 1 1 4 c The output information of IDMWRTM during running 29 All available result files e Out Simulated Brightness Temperature txt Fig 1 1 4 d The outcome page of IDMWRTM 1 2 High spectral resolution model 1 2 1 Line By Line Radiative Transfer Model 1 Brief Introduction LBLRTM Line By Line Radiative Transfer Model is an accurate line by line model that is efficient and highly flexible LBLRTM attributes provide spectral radiance calculations with accuracies consistent with the mea
111. tab then click Run the service GUI of the model running is shown in Fig 6 2 4 Click the Run button to start calculation Model List Atmospheric model Primary information Parameters References Equation Service Water model Snow Model Soil model Model ID M00048 Forest Model E Crop Model Model Name Second order crop scattering model Passive microwave model E Active microwave model First order continous mode First order discontinous m Two order discontinous m No Name Affiliations Encoders Optical Model 1 Du Jinyang dujy radi ac c Vegetation growth model Expand ALL Collapse All Key words Scattering vegetation radiative transfer model Model Type Theoretical model Latest Modified 2014 9 17 0 00 00 Submission Date 2006 7 12 0 00 00 Merete Based on second order radiative transfer solution the model simulates direct backscattering from crop interactions between crop and soil surface and direct backscattering from soil surface Equation Fig 6 2 3 Main Interface Model inputs are based on human computer interactions The input parameters are put by users based on the valid range defined by the program and indicated on the input interface Specific input parameters include 1 Frequency valid range 1 26 10 7 GHz 2 Incidence angle valid range 30 0 60 0 degree 3 volumetric ratio of vegetation scatterers valid range 0 0001 0 01 4 water content of vegetation s
112. ter model Snow Model Soil model Forest Model Crop Model Passive microwave model Active microwave model Optical Model PROSPECT SAIL KUUSK Row crop model 4 SCALE LIBERTY RGM SAIL TIR TRGM RAPID Vegetation growth model Expand ALL Collapse All ii o for remote sensing mechanism models Primary information Run the service GIB 210 72 27 32 85 Ho me M odelView 3 a State Key Laboratory of Remote Sensing Science Atm Model Water Model Forest Model Snow Model Soil Model Parameters References Equation Service 10 Fig 14 The service tab Simulation platform for x Simulation platform for x gt Q 210 72 27 32 85 Home ModelCalculate 3 D Simulation platform PES Model List E Atmospheric model Water model Snow Model Soil model Forest Model for remote sensing mechanism models Model List Atm Model Water Model Tip if the following interface can t be displayed please try to minimize and then maximize this page to refresh this page or update your Java E Crop Model Passive microwave model envy Active microwave model Optical Model a PROSPECT SAIL j KUUSK Row crop model cab 4 SCALE LIBERTY System echo RGM System echo SAIL TIR System echo System echo TRGM System echo RAPID System echo Vegetation growth model Expand ALL Collapse All Forest Model Snow Model Soil Model runtime enviro
113. the Service C D 210 72 27 32 85 Home ModelCalculate 44 Ee Simulation platform Wy fer remote sensing E X a lt P mechanism models J D AN State Key Laboratory of Remote Sensing Science Model List Atmospheric model Water model Optical model ia Microwave model CModS Service name p Service path ds Start Snow Model Soil model E Forest Model Syaten echo The service has been switched to CMod6 Systen echo gt Please vait for the service to be ready Crop Model Systen echo gt The service has been ready Vegetation growth model Systen echo ID has been retrieved 38 ey Please input wind speed 0 60 n s 10 Expand ALL Collapse All Please input wind direction 0 360 deg 0 Pleaze input incidence angle 15 60 deg 30 Please input azinuth angle 0 350 deg 0 0 167431 0 113351 Systen echo gt The service CMod5 has finished a b Input value following the Sps Figure 2 2 c The results of the model 3 Input and output Variables The input parameters of the model include Incidence angle in degree 15 60 Radar illumination azimuth angle relative to north in degree 0 360 Wind speed in m s 0 60 Wind direction relative to north in degree 0 360 37 The output products of the model include the values of the VV and HH Normalized Radar Cross Section in dB 3 Snow 3 1 Passive microwave model 3 1 1 DMRT MD AIEM snow microwave emission model 1 Introduction to model This mode
114. the example input as follows which can be copied to the textarea on the previous page T T 2 0 0 0 0 0 0 0 0 0 1 0 0 000 0 00 FE 2T 5 360 000 1 0 0 0 O 0 0 000 0 000 0 000 0 000 0 000 3d 1 O adiozonde Data 0 0 100 9 245E 02 3 1035E 00 1 021E400 0 DOOE 00 0 O00E 004B 5 DOOE H10 0 000E 00 0 000 00 O 0008 10 0 O00E 410 O OOOE 00 0 O00E 00 O 000E 10 OODE HI0 0 267 9 TA0E 02 2 OO0E 900 1 10080 0 O00E 90 0 O00E 004B6 DODEHO O ODOE 00 0 000 00 0 0008 10 0 DO0E 00 0 ODOE 00 0 O000 00 0 O00E 10 OOOEHIO 0 400 9 580R 02 1 2008 4102 200E4I0 0 000E 90 0 OO0R 0045 OOOE I0 0 000E 00 0 O00E 00 OO0E 00 0 OO0E 400 0 OOOE 00 0 O00E 00 000E 10 DODE H10 0 459 9 510E 02 1 800E 00 8 2700E400 0 OO0E HI0 0 O00E 004B6 DODEHO 0 ODOE 00 O 000 00 0 0008 10 0 DO0E 10 0 OOOE 00 0 O00 00 0 O00E 10 OOOEHIO 0 518 9 440E 02 2 200E 0 T s00E 400 0 DOOE 90 0 OO0E 004B6 DOOE H10 0 000E 00 0 000 00 0 0008 H0 0 DO0E 410 O OOOE 00 0 O00E 00 0 000E 10 DODE 10 0 609 9 355E 02 1 8 11E 400 7 58100 0 DOOE 90 0 O00E 004B6 DOOE IO O ODOE 00 0 O000 00 0 0008 10 0 DO0E 00 0 ODOE 00 0 O000 00 0 O00E 10 DODE H10 0 684 9 250E 02 1 6008 410 7 400800 0 DOOE 00 0 OO0E 004B6 DODE 90 O DOOE 00 0 O000E 00 0 OO0E4I0 0 DODE 90 0 DOOE 00 0 O00E 00 0 O00E 00 OODE HI0 0 914 98 TE 02 1 64 7E O2 T 631 E400 0 OO0E 00 0 O00E 004B 5 OOOE I0 O 000E 00
115. the model is shown as in Fig 3 1 2 a Click on the Service tab and click on the link of run the service to initialize the running of the model Then fill out the forms to provide the input parameters of the model shown as Fig 3 1 2 b The input parameters include initial incident angle Degree End of incident angle Degree and Step of the incident angle Degree Frequency The observation frequency in GHz Snow layers number of snow layers Then input the snow parameters of each snow layer in the table below Snow density in kg m 3 Snow grain radius in mm Stickiness QCA theory stickiness parameter Snow temperature in K Snow liquid water content volume fraction of liquid water content in snow layer Snow layer depth in meter Then input the soil parameters Soil model Flat means the soil surface is considered as flat in solving the boundary condition of radiative transfer equation AIEM means the AIEM model is used to 40 calculate the reflectivity of soil surface in solving the boundary condition of radiative transfer equation Empirical means the semi empirical model is used to calculate the reflectivity of soil surface in solving the boundary condition of radiative transfer equation Soil moisture in RMS height and Correlation length in cm Correlation function select from the
116. tter Model of Forest Canopies EEE Transactions on Geoscience and Remote Sensing 1995 33 2 p 372 382 Ni W J Z F Guo and G Q Sun Improvement of a 3D radar backscattering model using matrix doubling method Science China Earth Sciences 2010 53 7 p 1029 1035 2 Guide The main interface of the model is shown as Fig 5 2 1 a The model could be launched by left click on the card Service and then left click on the item Run the service The running interface of radar backscatter model is shown as Fig 5 2 1 b The interpretation of parameters used to derive the model will appear by click on View Example File as shown in Fig 5 2 1 c Parameters used to derive the model without any interpretations will be given by further click on example file It can be copied into 58 as text file named as in_para txt Go back to the running interface of the model and click on upload file the interface of uploading driven file will appear as Fig 5 2 1 d Browse to the file in_para txt and Upload it Go back to the running interface and run the model by clicking on start The model will run several minute according to the size of forest scene set in the file in_para txt The item start will change to inactive and Results will change to active when the running is completed Then click on Results the web page containing the file backscattering txt will appear Click on
117. ular 2 gaussian 3 sinc squared 4 sinc 46 55 lt 0 the output spectral spacing Line 13 1 10 beginning wavenumber value 11 20 ending wavenumber value Line 15 1 10 beginning wavenumber value 11 20 ending wavenumber value Line 16 55 60 is 1 when convolved with radiance otherwise 55 60 is O Go back to the running interface of the model and click on upload file the interface of uploading driven file will appear as Fig 1 2 1 d Browse to the file tapeS dat and Upload it Go back to the running interface and run the model by clicking on start The model will run several minute according to the parameters set in the file tape5 dat The item start will change to inactive and Results will change to active when the running is completed Then click on Results the web page containing the file tape27 txt transmission and tape28 txt radiance will appear Click on tape28 txt will see its content as Fig 1 2 1 e 32 Please select tape dat a Fig1 2 1 d Interface of uploading driven file t5ref 06 12 96 CAMEX NASA Flt 93 169 09 29 93 Wallops Island ARM Ret LBLRIM INITIAL LAYER 1 FINAL LAYER 44 0 SECANT 0 00000 0 PRESS MB 505 91501 0 TEMP 250 24 0 DV 0 10000000 CM 1 0 vi 15 000000 CM 1 0 Va 42 333330 CM 1 0 O COLUMN DENSITY MOLECULES CM 2 OTHER 1 698E 25 H20 4 714E 22 c02 7 092E 21 03 9 247E 18 N20 6 596E 18 CO 2 379E 186 CH4 3 54
118. ulates direct backscattering from crop interactions between crop and soil surface and direct backscattering from soil surface Equation E les Fig 6 2 1 Main Interface Model inputs are based on human computer interactions The input parameters are put by users based on the valid range defined by the program and indicated on the input interface Specific input parameters include 1 Frequency valid range 1 26 10 7 GHz 2 Incidence angle valid range 30 0 60 0 degree 3 volumetric ratio of vegetation scatterers valid range 0 0001 0 01 4 water content of vegetation scatterers valid range 0 30 0 90 5 crop height valid range 0 1 5 m 6 Volumetric soil moisture 0 05 0 4 m m Based on the inputs VV HH VH and HV polarized backscattering coefficients are calculated by the model An example of the application is shown below Input parameters frequency 5 4 GHz incidence angle 40 degree volumetric fraction of vegetation scatterers 0 004 water content of vegetation scatterers 0 6 crop height 2 0 m Volumetric soil moisture 0 25 m m Output VV 11 73dB HH 11 75 dB VH 15 89 dB HV 15 89 dB Model List Atm Model Water Model Forest Model Snow Model Soil Model Input model name to sear Q Model List Atmospheric model Water model Snow Model Soil model i Forest Model Senden E Crop_M_FirstOrder Service path Crop_M_FirstOrder Sta amp Crop Model Passive microwave model
119. v 1 no aerosol altitude of target name xps value range sensor altitude name Xpp value range xpp 1000 observe in satellite xpp O observe in situ 100 lt xpp lt 0 observe in plane absolute number represent the high of plane spectral conditions name wave value range 2 70 iwave 2 1 user defined iwave 2 70 choose a band 2 vis band of meteosat 0 350 1 110 3 vis band of goes east 0 490 0 900 4 vis band of goes west 0 490 0 900 5 1st band of avhrr noaa6 0 550 0 750 6 2nd 0 690 1 120 7 1st band of avhrr noaa7 0 500 0 800 8 2nd 0 640 1 170 9 1st band of avhrr noaa8 0 540 1 010 17 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 2nd 0 680 1 120 1st band of avhrr noaa9 0 530 0 810 2nd 0 680 1 170 1st band of avhrr noaa10 0 530 0 780 2nd 0 600 1 190 1st band of avhrr noaa11 0 540 0 820 2nd 1st band of hrv1 spot1 2nd 3rd pan 1st band of hrv2 spot1 2nd 3rd pan 0 600 1 120 0 470 0 650 0 600 0 720 0 730 0 930 0 470 0 790 0 470 0 650 0 590 0 730 0 740 0 940 0 470 0 790 1st band of tm landsat5 0 430 0 560 2nd 3rd Ath 5th 7th 0 500 0 650 0 580 0 740 0 730 0 950 1 5025 1 890 1 950 2 410 1st band of mss l
120. wth model weaves 2 1416 Azm 62 wag loo Expand ALL Collapse All 4 ee MER v HERBEE 0 0 HASHA 0 0 BR 0 865 BREF y y AHHH Q OATES 1 OAL 2 wi FAT 2 Figure 4 The running interface of RT3 All available result files e rt3 out The graph of rt3 out is as follows Graph of RT3 175 1501 125 4 100 734 Value 50 25 04 0 466 180 0 3 40205 114 597984 0 055579 0 017505 0 000000 RE E pk powniad the grapn Figure 5 An example the output graph HOME Model List Atm Model Water Model Forest Model Snow Model Soil Model Model List T t3 1 out 183525 Atmospheric model 5 Optical model XHP SRE EMO EEV BH 6S 466 180 0 3 40205 114 597984 055579 017505 000000 MODTRAN 466 180 0 7 80911 110 190895 059407 019828 000000 RT3 466 180 0 12 24221 105 757805 064630 022252 000000 Microwave model Water model Snow Model Soil model Forest Model Crop Model Vegetation growth model Expand ALL Collapse All 466 180 466 180 466 180 466 180 466 180 466 180 466 180 466 180 466 180 466 180 466 180 466 180 466 180 466 180 466 180 466 180 466 180 466 466 466 466 466 466 466 16 68118 101 318817 21 12239 96 877617 25 56467 92 435349 30 00755 87 992455 34 45080 83 549210 38 89430 T9 105705 43 33796 74 662048 47 78174 T0 218269 52 22560 65 774399 56 66954 61 33047

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