B. Cook

Goddard Space Flight Center

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Zhijun Zhen

Jilin University

Ahmad Al Bitar

Université de Toulouse

Tiangang Yin

Hong Kong Polytechnic University

J. Qi

Beijing Forestry University

Yingjie Wang

Hohai University

B. Cao

Institute of Remote Sensing and Digital Earth

Nektarios Chrysoulakis

Foundation for Research and Technology Hellas

Deschamps

Centre National d'Études Spatiales

Jordan Guilleux

Centre d'Études Spatiales de la Biosphère

E. Chavanon

Université Toulouse III - Paul Sabatier

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Centre d'Études Spatiales de la Biosphère

Université Toulouse III - Paul Sabatier

Université de Toulouse

Institut de Recherche pour le Développement

Centre National de la Recherche Scientifique

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

Centre National d'Études Spatiales

Institute of Remote Sensing and Digital Earth

Chinese Academy of Sciences

Goddard Space Flight Center

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Why To Model Remote Sensing Measurements In 3d? Recent Advances In Dart: Atmosphere, Topography, Large Landscape, Chlorophyll Fluorescence And Satellite Image Inversion

Jean‐Philippe Gastellu‐Etchegorry Yingjie Wang Omar Regaieg Tiangang Yin Zbyněk Malenovský

Remote sensing (RS) dedicated to the study of land surfaces benefits from more and more advanced sensors. However, the interpretation of RS data is often is often inaccurate due to the complexity of the observed land surfaces. Therefore, RS models, in particular physical models, that simulate RS observations of the three-dimensional (3D) landscapes are critical to correctly interpret RS data. DART is one of the most comprehensive 3D models of Earthatmosphere optical radiative transfer (RT), from ultraviolet (UV) to thermal infrared (TIR). It simulates the optical signal of proximal, aerial and satellite imaging spectrometers and laser scanners, the 3D RB and solar-induced chlorophyll fluorescence (SIF) signal, for any urban or natural landscape and any experimental or instrument configuration. It is freely available for research and teaching activities (dart.omp.eu). After illustrating three significant sources of inaccuracy in RS interpretation, five recent DART advances are presented: RT in the atmosphere and topography, fast RS image simulation of large landscapes, SIF modelling, and satellite image inversion.

Dart

10.1109/atsip49331.2020.9231884

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Recent Improvements in the Dart Model for Atmosphere, Topography, Large Landscape, Chlorophyll Fluorescence, Satellite Image Inversion

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2020)

Jean‐Philippe Gastellu‐Etchegorry Yingjie Wang Omar Regaieg Tiangang Yin Zbyněk Malenovský

Physical models simulating the radiative budget (RB) and remote sensing (RS) observation of three-dimensional (3D) landscapes are critical to better understand human and natural components of the Earth system and further develop RS technology. DART is one of the most comprehensive 3D models of Earth-atmosphere optical radiative transfer (RT), from ultraviolet (UV) to thermal infrared (TIR). It simulates the optical signal of proximal, aerial and satellite imaging spectrometers and laser scanners, the 3D RB and solar induced chlorophyll fluorescence (SIF) signal, for any urban or natural landscape and any experimental or instrument configuration. It is freely available for research and teaching activities (https://dart.omp.eu). Here, five recent advances are presented. 1) Atmosphere RT. 2) RT in non repetitive topography. 3) Monte Carlo modelling for fast RS image simulation of large landscapes. 4) SIF modelling for vegetation simulated as facets and turbid cells. 5) RS image inversion for mapping the optical properties of urban material and the urban radiative budget.

Dart

Atmospheric models

Imaging spectrometer

10.1109/igarss39084.2020.9323458

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Citations (7)