@article{Gastellu-Etchegorry2017,
title = {DART: Recent Advances in Remote Sensing Data Modeling With Atmosphere, Polarization, and Chlorophyll Fluorescence},
author = {Jean-Philippe Gastellu-Etchegorry and Nicolas Lauret and Tiangang Yin and Lucas Landier and Abdelazis Kallel and Zbynek Malenovský and Ahmad Al-Bitar and Josselin Aval and Sahar Benhmida and Jianbo Qi and Ghania Medjdoub and Jordan Guilleux and Eric Chavanon and Bruce Cook and Douglas Morton and Nektarios Chrysoulakis and Zina Mitraka },
editor = {Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
url = {http://urbanfluxes.eu/wp-content/uploads/2018/01/2017_Gastellu-Etchegorry_et_al_IEEE.pdf},
doi = {10.1109/JSTARS.2017.2685528},
issn = {2151-1535},
year = {2017},
date = {2017-04-14},
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Volume: 10, Issue: 6, June 2017)},
volume = {Vol: 10(6)},
pages = {2640–2649},
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.},
keywords = {Discrete anisotropic radiative transfer (DART), model, radiative transfer (RT), remote sensing},
pubstate = {published},
tppubtype = {article}
}