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Article: Development of the adjoint model of a canopy radiative transfer model for sensitivity study and inversion of leaf area index

TitleDevelopment of the adjoint model of a canopy radiative transfer model for sensitivity study and inversion of leaf area index
Authors
KeywordsAdjoint model
Automatic differentiation
Inversion
Leaf area index (LAI)
Radiative transfer
Sensitivity study
Trust region method
Issue Date2008
Citation
IEEE Transactions on Geoscience and Remote Sensing, 2008, v. 46, n. 7, p. 2028-2037 How to Cite?
AbstractMany canopy reflectance models have been developed in the last decades and used for estimating land surface biogeophysical variables, such as leaf area index (LAI), from satellite observations through optimization procedures. In most studies, the derivative information of the canopy reflectance model has not been used effectively, which limits this approach for regional and global applications. The final solutions are often converged to the local minima. To address these issues, the adjoint model of a canopy radiative transfer model is developed in this study through the automatic differentiation technique. The developed adjoint model is used for sensitivity study, and a combination of the adjoint model with the trust region global optimization method is performed to retrieve LAI from the Enhanced Thematic Mapper Plus (ETM+). This study demonstrates that this method can be reliably used for inverting LAI efficiently and is suitable for global applications. © 2008 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/321348
ISSN
2023 Impact Factor: 7.5
2023 SCImago Journal Rankings: 2.403
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorQin, Jun-
dc.contributor.authorLiang, Shunlin-
dc.contributor.authorLi, Xiaowen-
dc.contributor.authorWang, Jindi-
dc.date.accessioned2022-11-03T02:18:18Z-
dc.date.available2022-11-03T02:18:18Z-
dc.date.issued2008-
dc.identifier.citationIEEE Transactions on Geoscience and Remote Sensing, 2008, v. 46, n. 7, p. 2028-2037-
dc.identifier.issn0196-2892-
dc.identifier.urihttp://hdl.handle.net/10722/321348-
dc.description.abstractMany canopy reflectance models have been developed in the last decades and used for estimating land surface biogeophysical variables, such as leaf area index (LAI), from satellite observations through optimization procedures. In most studies, the derivative information of the canopy reflectance model has not been used effectively, which limits this approach for regional and global applications. The final solutions are often converged to the local minima. To address these issues, the adjoint model of a canopy radiative transfer model is developed in this study through the automatic differentiation technique. The developed adjoint model is used for sensitivity study, and a combination of the adjoint model with the trust region global optimization method is performed to retrieve LAI from the Enhanced Thematic Mapper Plus (ETM+). This study demonstrates that this method can be reliably used for inverting LAI efficiently and is suitable for global applications. © 2008 IEEE.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Geoscience and Remote Sensing-
dc.subjectAdjoint model-
dc.subjectAutomatic differentiation-
dc.subjectInversion-
dc.subjectLeaf area index (LAI)-
dc.subjectRadiative transfer-
dc.subjectSensitivity study-
dc.subjectTrust region method-
dc.titleDevelopment of the adjoint model of a canopy radiative transfer model for sensitivity study and inversion of leaf area index-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TGRS.2008.916637-
dc.identifier.scopuseid_2-s2.0-45849124637-
dc.identifier.volume46-
dc.identifier.issue7-
dc.identifier.spage2028-
dc.identifier.epage2037-
dc.identifier.isiWOS:000257285200015-

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