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

2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2020-09-01 DOI:10.1109/ATSIP49331.2020.9231884

J. Gastellu-Etchegorry, Y. Wang, O. Regaieg, T. Yin, Z. Malenovský, Z. Zhen, X. Yang, Z. Tao, L. Landier, A. Al Bitar, Deschamps, N. Lauret, J. Guilleux, E. Chavanon, B. Cao, J. Qi, A. Kallel, Z. Mitraka, N. Chrysoulakis, B. Cook, D. Morton

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引用次数: 4

Abstract

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.

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为什么要建立三维遥感测量模型?大气、地形、大景观、叶绿素荧光和卫星影像反演的最新进展

致力于陆地表面研究的遥感(RS)得益于越来越多的先进传感器。然而，由于观测地表的复杂性，对遥感数据的解释往往不准确。因此，模拟三维(3D)景观的遥感观测数据的遥感模型，特别是物理模型，对于正确解释遥感数据至关重要。DART是地球大气光学辐射传输(RT)的最全面的三维模型之一，从紫外线(UV)到热红外(TIR)。它模拟近地、空中和卫星成像光谱仪和激光扫描仪的光学信号、3D RB和太阳诱导的叶绿素荧光(SIF)信号，用于任何城市或自然景观以及任何实验或仪器配置。它可以免费用于研究和教学活动(part . comp .eu)。在阐述了RS解译中三个重要的不准确来源之后，介绍了DART的五个最新进展:大气和地形的RT，大型景观的快速RS图像模拟，SIF建模和卫星图像反演。

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2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)

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