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

Citation

Gastellu-Etchegorry, J-P and Lauret, N and Yin, T and Landier, L and Kallel, A and Malenovsky, Z and Al Bitar, A and Aval, J and Benhmida, S and Qi, J and Medjdoub, G and Guilleux, J and Chavanon, E and Cook, B and Morton, D and Chrysoulakis, N and Mitraka, Z, DART: recent advances in remote sensing data modeling with atmosphere, polarization, and chlorophyll fluorescence, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, (6) pp. 2640-2649. ISSN 1939-1404 (2017) [Refereed Article]

Copyright Statement

2017 IEEE.

DOI: doi:10.1109/JSTARS.2017.2685528

Abstract

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.

Item Details

Item Type:Refereed Article
Keywords:discrete anisotropic radiative transfer (DART), model, radiative transfer (RT), remote sensing
Research Division:Earth Sciences
Research Group:Other Earth Sciences
Research Field:Earth Sciences not elsewhere classified
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Earth Sciences
Author:Malenovsky, Z (Dr Zbynek Malenovsky)
ID Code:120479
Year Published:2017
Web of Science® Times Cited:10
Deposited By:Geography and Spatial Science
Deposited On:2017-08-25
Last Modified:2017-11-27
Downloads:0

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