Author :
Martin, E. ; Gastellu-Etchegorry, J.-P. ; Dhalluin, R.
Abstract :
DART (Discrete Anisotropic Radiative Transfer) model was designed in 1996 for simulating optical directional images and 3-D radiation budget of heterogeneous 3-D scenes with various landscape elements (i.e., trees, water, grass, soil, etc.). It was already used for many scientific works; e.g., impact of canopy structure on satellite images texture and 3-D canopy photosynthesis rate and primary production rate. It was successfully tested against reflectance measurements and also against radiative transfer (RT) models in the frame of the RAMI exercise. Recently, DART was greatly improved to make it more comprehensive and operational. The new DART 2003 model simulates directional images in the sensor plane, for any altitude, simultaneously in several spectral bands in the whole optical domain, for natural, agricultural and urban landscapes with topography, with/without the simulation of the atmospheric radiative transfer, with/without the use of spectral databases (0.3 μm-15 μm), etc. In order to validate these improvements, DART 2003 simulations were tested against red and NIR reflectance values that were simulated by some RT models used in the frame of RAMI exercise: (1) two 1-D RT models (ProSAIL, 1/2 Discrete) and (2) five 3-D RT models (Flight, DART, Sprint, RAYTRAN, RGM). Results stress that DART accuracy is compatible with that of other models. Work is being conducted for generalizing this first result. Unfortunately, a few major features of DART (i.e., simulation of directional images, atmospheric RT, thermal inferred) could not be tested because other RT models do not simulate them.
Keywords :
agriculture; radiative transfer; terrain mapping; vegetation mapping; 0.3 to 15 micron; 3-D canopy photosynthesis rate; AD 2003; DART model; Discrete Anisotropic Radiative Transfer model; NIR reflectance; agricultural landscapes; atmospheric radiative transfer; canopy structure; landscape elements; natural landscapes; optical directional images; optical domain; red reflectance; satellite images texture; spectral databases; thermal inferred simulation; urban landscape topography; Aerospace simulation; Anisotropic magnetoresistance; Atmospheric modeling; Geometrical optics; Layout; Optical design; Optical sensors; Reflectivity; Soil; Testing;