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Journal Articles Modeling and simulation in Engineering Year : 2012

DART : a 3D model for remote sensing images and radiative budget of earth surfaces

Abstract

Modeling the radiative behavior and the energy budget of land surfaces is relevant for many scientific domains such as the study of vegetation functioning with remotely acquired information. DART model (Discrete Anisotropic Radiative Transfer) is developed since 1992. It is one of the most complete 3D models in this domain. It simulates radiative transfer (R.T.) in the optical domain: 3D radiative budget and remote sensing images (i.e., radiance, reflectance, brightness temperature) of vegetation and urban Earth surfaces, for any atmosphere, wavelength, sun/view direction, altitude and spatial resolution. It uses an innovative multispectral approach (flux tracing, exact kernel, discrete ordinate techniques) over the whole optical domain. Here, its potential is illustrated with the case of urban and tropical forest canopies. Moreover, three recent improvements in terms of functionality and operability are presented: account of Earth/Atmosphere curvature for oblique remote sensing measurements, importation of 3D objects simulated as the juxtaposition of triangles with the possibility to transform them into 3D turbid objects, and R.T. simulation in landscapes that have a continuous topography and landscapes that are non repetitive. Finally, preliminary results concerning two application domains are presented. 1) 2D distribution of the reflectance, brightness temperature and radiance measured by a geostationary satellite over a whole continent. 2) 3D radiative budget of natural and urban surfaces with a DART energy budget (EB) component that is being developed. This new model, called DARTEB, is intended to simulate the energy budget of land surfaces.
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Dates and versions

ird-00658284 , version 1 (10-01-2012)

Identifiers

  • HAL Id : ird-00658284 , version 1

Cite

Jean-Philippe Gastellu-Etchegorry, Eloi Grau, Nicolas Lauret. DART : a 3D model for remote sensing images and radiative budget of earth surfaces. Modeling and simulation in Engineering, 2012, pp.ISBN 978-953-307-959-2. ⟨ird-00658284⟩
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