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DART: recent advances in remote sensing data modeling with atmosphere, polarization, and chlorophyll fluorescence

journal contribution
posted on 2023-05-19, 10:23 authored by Gastellu-Etchegorry, J-P, Lauret, N, Yin, T, Landier, L, Kallel, A, Zbynek MalenovskyZbynek Malenovsky, Al Bitar, A, Aval, J, Benhmida, S, Qi, J, Medjdoub, G, Guilleux, J, Chavanon, E, Cook, B, Morton, D, Chrysoulakis, N, Mitraka, Z
To better understand the life-essential cycles and processes of our planet and to further develop remote sensing (RS) technology, there is an increasing need for models that simulate the radiative budget (RB) and RS acquisitions of urban and natural landscapes using physical approaches and considering the three-dimensional (3-D) architecture of Earth surfaces. Discrete anisotropic radiative transfer (DART) is one of the most comprehensive physically based 3-D models of Earth-atmosphere radiative transfer, covering the spectral domain from ultraviolet to thermal infrared wavelengths. It simulates the optical 3-D RB and optical signals of proximal, aerial, and satellite imaging spectrometers and laser scanners, for any urban and/or natural landscapes and for any experimental and instrumental configurations. It is freely available for research and teaching activities. In this paper, we briefly introduce DART theory and present recent advances in simulated sensors (LiDAR and cameras with finite field of view) and modeling mechanisms (atmosphere, specular reflectance with polarization and chlorophyll fluorescence). A case study demonstrating a novel application of DART to investigate urban landscapes is also presented.


Publication title

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing










School of Geography, Planning and Spatial Sciences


Institute of Electrical and Electronics Engineers

Place of publication

United States

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© 2017 IEEE.

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Socio-economic Objectives

Expanding knowledge in the earth sciences