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dc.contributor.authorStamnes, K.
dc.contributor.authorLi, W.
dc.contributor.authorStamnes, S.
dc.contributor.authorHu, Y.
dc.contributor.authorZhou, Y.
dc.contributor.authorChen, N.
dc.contributor.authorFan, Y.
dc.contributor.authorHamre, B.
dc.contributor.authorLu, X.
dc.contributor.authorHuang, Y.
dc.contributor.authorWeimer, C.
dc.contributor.authorLee, J.
dc.contributor.authorZeng, X.
dc.contributor.authorStamnes, J.
dc.date.accessioned2024-08-05T02:53:45Z
dc.date.available2024-08-05T02:53:45Z
dc.date.issued2022-10-18
dc.identifier.citationStamnes K, Li W, Stamnes S, Hu Y, Zhou Y, Chen N, Fan Y, Hamre B, Lu X, Huang Y, Weimer C, Lee J, Zeng X and Stamnes J (2022) A novel approach to solve forward/inverse problems in remote sensing applications. Front. Remote Sens. 3:1025447. doi: 10.3389/frsen.2022.1025447
dc.identifier.issn2673-6187
dc.identifier.doi10.3389/frsen.2022.1025447
dc.identifier.urihttp://hdl.handle.net/10150/673601
dc.description.abstractInversion 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. Copyright © 2022 Stamnes, Li, Stamnes, Hu, Zhou, Chen, Fan, Hamre, Lu, Huang, Weimer, Lee, Zeng and Stamnes.
dc.language.isoen
dc.publisherFrontiers Media SA
dc.rights© 2022 Stamnes, Li, Stamnes, Hu, Zhou, Chen, Fan, Hamre, Lu, Huang, Weimer, Lee, Zeng and Stamnes. This is an open-access article distributed under the terms of the Creative Commons Attribution License.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectforward modeling
dc.subjectintegration of the source function
dc.subjectinverse methods
dc.subjectmultiple scattering effects
dc.subjectradar
dc.subjectspace lidar
dc.titleA novel approach to solve forward/inverse problems in remote sensing applications
dc.typeArticle
dc.typetext
dc.contributor.departmentThe University of Arizona
dc.identifier.journalFrontiers in Remote Sensing
dc.description.noteOpen access journal
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal Published Version
dc.source.journaltitleFrontiers in Remote Sensing
refterms.dateFOA2024-08-05T02:53:45Z


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© 2022 Stamnes, Li, Stamnes, Hu, Zhou, Chen, Fan, Hamre, Lu, Huang, Weimer, Lee, Zeng and Stamnes. This is an open-access article distributed under the terms of the Creative Commons Attribution License.
Except where otherwise noted, this item's license is described as © 2022 Stamnes, Li, Stamnes, Hu, Zhou, Chen, Fan, Hamre, Lu, Huang, Weimer, Lee, Zeng and Stamnes. This is an open-access article distributed under the terms of the Creative Commons Attribution License.