DocumentCode :
299335
Title :
Improvement of the DART model for simulating radiative transfer in heterogeneous 3-D vegetation
Author :
Demarez, V. ; Pinel, V. ; Zagolski, F. ; James, Michael R. ; Muller, E.
Author_Institution :
Centre d´Etude Spatiale de la Biosphere, UPS/CNRS/CNES, Toulouse
Volume :
2
fYear :
34881
fDate :
10-14 Jul1995
Firstpage :
1355
Abstract :
The DART model simulates radiative transfer in 3D canopies (leaves, grass, soil, water, trunks) using the discrete ordinate approach. It predicts bi-directional reflectance distribution functions (BRDF), 3D radiation regime for further determination of 3D photosynthesis rates and primary production, for any Sun and atmospheric (possibly anisotropic) configuration. Recent improvements are presented. Radiation terms associated with leaf volume and polarization mechanisms are now distinguished. Moreover three accelerating techniques are introduced: (1) Seidel method; i.e. simulation of scattering with radiation already scattered at the iteration stage, (2) decrease of the spherical harmonics expansion order with iteration orders, and (3) convergence with an exponential extrapolation. Comparison of simulations with remotely acquired spectral images of a forest cover stressed the usefulness of the DART model for conducting studies with remotely acquired information
Keywords :
forestry; geophysical techniques; light scattering; radiative transfer; remote sensing; BRDF; DART model; Seidel method; bi-directional reflectance distribution function; discrete ordinate approach; exponential extrapolation; forest; forestry; geophysical measurement technique; grass; heterogeneous vegetation; leaves; light reflection; light scattering; optical imaging; radiative transfer; remote sensing; simulation; three dimensional canopy; trunk; visible infrared; Anisotropic magnetoresistance; Atmospheric modeling; Bidirectional control; Distribution functions; Polarization; Production; Reflectivity; Scattering; Soil; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
Type :
conf
DOI :
10.1109/IGARSS.1995.521749
Filename :
521749
Link To Document :
بازگشت