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A Novel Approach to Solve Forward/Inverse Problems in Remote Sensing Applications

Authors :
Knut Stamnes
Wei Li
Snorre Stamnes
Yongxiang Hu
Yingzhen Zhou
Nan Chen
Yongzhen Fan
Børge Hamre
Xiaomei Lu
Yuping Huang
Carl Weimer
Jennifer Lee
Xubin Zeng
Jakob Stamnes
Source :
Frontiers in Remote Sensing. 3
Publication Year :
2022
Publisher :
United States: NASA Center for Aerospace Information (CASI), 2022.

Abstract

Inversion of electromagnetic (EM) signals reflected from or transmitted through a medium, or emitted by it due to internal sources can be used to investigate the optical and physical properties of a variety of scattering/absorbing/emitting materials. Such media encompass planetary atmospheres and surfaces (including water/snow/ice), and plant canopies. In many situations the signals emerging from such media can be described by a linear transport equation which in the case of EM radiation is the radiative transfer equation (RTE). Solutions of the RTE can be used as a forward model to solve the inverse problem to determine the medium state parameters giving rise to the emergent (reflected/transmitted/emitted) EM signals. A novel method is developed to determine layer-by-layer contributions to the emergent signals from such stratified, multilayered media based on the solution of the pertinent RTE. As a specific example of how this approach may be applied, the radiation reflected from a multilayered atmosphere is used to solve the problem relevant for EM probing by a space-based lidar system. The solutions agree with those obtained using the standard lidar approach for situations in which single scattering prevails, but this novel approach also yields reliable results for optically thick, multiple scattering aerosol and cloud layers that cannot be provided by the traditional lidar approach.

Details

Language :
English
ISSN :
26736187
Volume :
3
Database :
NASA Technical Reports
Journal :
Frontiers in Remote Sensing
Notes :
304029.01.22.03.01.03.02
Publication Type :
Report
Accession number :
edsnas.20220016454
Document Type :
Report
Full Text :
https://doi.org/10.3389/frsen.2022.1025447