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A Novel Approach to Solve Forward/Inverse Problems in Remote Sensing ApplicationsInversion 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.
Document ID
20220016454
Acquisition Source
Langley Research Center
Document Type
Reprint (Version printed in journal)
Authors
Knut Stamnes
(Stevens Institute of Technology Hoboken, New Jersey, United States)
Wei Li
(Stevens Institute of Technology Hoboken, New Jersey, United States)
Snorre Stamnes
(Langley Research Center Hampton, Virginia, United States)
Yongxiang Hu
(Langley Research Center Hampton, Virginia, United States)
Yingzhen Zhou
(Stevens Institute of Technology Hoboken, New Jersey, United States)
Nan Chen
(Stevens Institute of Technology Hoboken, New Jersey, United States)
Yongzhen Fan
(University of Maryland, College Park College Park, Maryland, United States)
Børge Hamre
(University of Bergen Bergen, Hordaland, Norway)
Xiaomei Lu
(Langley Research Center Hampton, Virginia, United States)
Yuping Huang
(Stevens Institute of Technology Hoboken, New Jersey, United States)
Carl Weimer
(Ball Aerospace Corporation Boulder, Colorado, United States)
Jennifer Lee
(Ball Aerospace Corporation Boulder, Colorado, United States)
Xubin Zeng
(University of Arizona Tucson, Arizona, United States)
Jakob Stamnes
(University of Bergen Bergen, Hordaland, Norway)
Date Acquired
November 1, 2022
Publication Date
October 19, 2022
Publication Information
Publication: Frontiers in Remote Sensing
Publisher: Frontiers Media
Volume: 3
Issue Publication Date: October 19, 2022
e-ISSN: 2673-6187
Subject Category
Earth Resources And Remote Sensing
Computer Programming And Software
Funding Number(s)
WBS: 304029.01.22.03.01.03.02
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Keywords
forward modeling
inverse methods
integration of the source function
space lidar
radar
multiple scattering effects
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