MATISSE : MODELISATION AVANCEE de la TERRE pour l IMAGERIE et la SIMULATION des SCENES et de leur ENVIRONNEMENT

Transcription

1 MATISSE : MODELISATION AVANCEE de la TERRE pour l IMAGERIE et la SIMULATION des SCENES et de leur ENVIRONNEMENT «Advanced Earth Modeling For Imaging and Scene Simulation» Version 1.1 P. Simoneau R. Berton, K. Caillault, G. Durand, T. Huet, L. Labarre, C. Malherbe, C. Miesch, A. Roblin, B. Rosier ONERA Applied and Theoretical Optical Department 1

2 PRESENTATION OUTLINE Objectives General code description initialization module rendering module databases Summary 2

3 Goal of MATISSE : Radiance images Atmospheric Emission and Scattering Observed Radiance Cloud Emission and Scattering Target Signature Propagation Ground reflection and emission Atmospheric variability P(x,y,z) T(x,y,z) [H 2 O](x,y,z) 3

4 Flow chart 4

5 MATISSE : Flow chart Primary databases (uncomplete atmospheric profiles, DTED, spectroscopic data, ) Input data GUI input file Path radiance Secondary databases atmospheric profiles aerosols land use and DTE RT parameters cloud BRDF, BTDF, Initialization module radiatives parameters (radiances, sources functions) Storage Rendering module Radiance images 5

6 Initialization module 6

7 Atmospheric parameters databases 1D database one profile in the scene 2D database one profile for each latitude band Aerosol database horizontal spatial resolution :5 x5 3D database one profile each 0.25 x0.25 7

8 Initialization module (3D case) Atmospheric Source Functions (1/2) Atmospheric profiles CK profiles database 3-13µm = 5 cm -1 Optical parameters Total Atmospheric Source Functions 8

9 Initialization module (3D case) Atmospheric Source Functions (2/2) J tot ( ) = J ds ( ) + J th + J ms ( ) High spatial resolution (3D atmospheric DB : 0.25 x0.25 ) Direct scattering : J ss ( ) Thermal emission : J th Low spatial resolution (Aerosol DB : 5 x5 ) Multiple scattering : J ms ( ) RTRN21 (Nakajima) : DOM + TMS 9

10 Initialization module Partial or total coverage of stratocumulus clouds Cloud cover generator Shape (inverse Fourier transform) Local thickness h, Facettisation L( ) Radiative transfer IPA (500m) + Database BRDF( sol,,,, ) BTDF( sol,,,, ) 0 IPA with [0, 0 ] et [0, max ] 10

11 Initialization module Ground radiation LAND USE / DTED DATA BASE spatial resolution : 30 Ground thermal model (Fourier method) 11

12 Initialization module Method all the radiatives parameters (atmospheric sources functions, ground and clouds radiances, absorption coefficients,...) are stored 12

13 Rendering module 13

14 Rendering module : flow chart Refraction Radiative parameters Atmospheric source functions Ground radiances Cloud radiances Extinction coefficients Facets identification module (Open GL) Shadow effect Hidden surfaces Propagation module Propagation module Textures Path radiance Radiance images 14

15 Rendering module : visualization 15

16 Secondary databases construction 16

17 Primary Secondary databases TIGR database Forecast model outputs GADS aerosol climatology PRFL code PRFL code Local water vapour LBL model (Lppm/Snecma/Onera) CK profiles database Local aerosols optical parameters K parameters generator USGS/GLCC Global Land Cover Database ASTER Elementary materials reflectance and emissivity Database ASST SST annual Database pixel location/ground cover type association ground cover types description ground cover types caracterization seasonal data extraction World map of ground cover types Thermo-optical properties of ground cover types Sea surface temperature World Map LAND USE / DTED DATA BASE Stratocumulus clouds N 0, LWC 0, Z 0, p( ), k 0 diff, k 0 ext diff k k k molecular absorption k abs [0, k abs 0 ext abs max] Use of RTRN21 (Nakajima,Tanaka) DOM + TMS Plan parallel Vertically homogeneous n(r) = constant 0 k k diff 0 ext 0 0 Database BRDF( sol,,,, ) BTDF( sol,,,, ) with [0, 0] et [0, max ] GTOPO30 Global Elevation Database adaptation to MATISSE grid Ground Elevation Map (ref : WGS84) 17

18 Additional functionality : Target signature transmission LBL model (Lppm/Snecma/Onera) 18

19 Development Language C, F90 GUI : PV-Waves 7.0 Computer SUN Ultra 80 2 ULTRA SPARC 450MHZ processors MEMORY : 1 Go Quality management Documentation Programation rules Release of MATISSE 1.1 : May

20 Summary Computation of radiance images Atmospheric radiative transfer : 3-13µm / / = 5 cm -1 Aerosol + molecular scattering Atmospheric Spatial Variability for all the LOS (3D profiles) Scu coverage Emission and Scattering (IPA / 500m) DTED + Ground Emission and Reflectance (30 ) Cloud shadowing Target signature propagation GUI High resolution spatial Variability (textures) Refraction along only one line of sight 20

21 Acknowledgements Matisse 1.1 is sponsored by the Délégation Générale de l Armement 21

22 Future works Physical representation of the spatial variabilities Sea surface model Cirrus clouds modelisation 22

23 Why is it important to take into account Atmospheric Spatial Variability? 23

24 Primary Secondary databases Atmospheric parameters TIGR database Forecast model outputs : 0.25 x0.25 GADS aerosol climatology :5 x5 PRFL code PRFL code Local water vapour profile Local aerosols optical parameters 24

25 Primary Secondary databases DTED and land use : 30 USGS/GLCC Global Land Cover Database pixel location/ground cover type association ground cover types description World map of ground cover types ASTER Elementary materials reflectance and emissivity Database ground cover types caracterization Thermo-optical properties of ground cover types ASST SST annual Database seasonal data extraction Sea surface temperature World Map GTOPO30 Global Elevation Database adaptation to MATISSE grid Ground Elevation Map (ref : WGS84) 25

26 Primary Secondary databases CK profile database : 3-13 µm / =5cm -1 LBL model (Lppm/Snecma/Onera) CK profiles database K parameters generator 26

27 Primary Secondary databases Cloud BRDF, BTDF, Stratocumulus clouds N 0, LWC 0, Z 0, p( ), k diff 0, k ext 0 diff molecular absorption k abs [0, k abs max ] k0 ext abs k k 0 0 k k diff 0 ext 0 Use of RTRN21 (Nakajima,Tanaka) DOM + TMS Plan parallel Vertically homogeneous n(r) = constant Database BRDF( sol,,,, ) BTDF( sol,,,, ) with [0, 0 ] et [0, max ] 27