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Article: Consistent estimation of multiple parameters from MODIS top of atmosphere reflectance data using a coupled soil-canopy-atmosphere radiative transfer model

TitleConsistent estimation of multiple parameters from MODIS top of atmosphere reflectance data using a coupled soil-canopy-atmosphere radiative transfer model
Authors
KeywordsAlbedo
AOD
Consistent estimation
FAPAR
LAI
MODIS
PAR
Top of atmosphere
Issue Date2016
Citation
Remote Sensing of Environment, 2016, v. 184, p. 40-57 How to Cite?
AbstractTraditional methods usually estimate individual land surface parameters separately from surface reflectance data, a practice which requires atmospheric correction for top of atmosphere (TOA) reflectance and may result in physical inconsistency among parameters. This paper proposes a new method for consistent estimation of multiple land surface parameters and aerosol optical depth (AOD) from Moderate Resolution Imaging Spectroradiometer (MODIS) TOA reflectance data. Soil, vegetation canopy, and atmospheric radiative transfer models were coupled, and a global sensitivity analysis of the coupled model was performed to identify the influential parameters from satellite observations. The most influential parameters, including leaf area index (LAI) and aerosol optical depth (AOD), were simultaneously retrieved from MODIS TOA reflectance data and then provided as input to the coupled soil-canopy-atmosphere radiative transfer model to calculate land surface reflectance, incident photosynthetically active radiation (PAR), land surface albedo, and the fraction of absorbed photosynthetically active radiation (FAPAR). The retrieved land surface parameters and AOD were compared with the corresponding MODIS, Global Land Surface Satellite (GLASS), GEOV1, and Multi-angle Imaging Spectroradiometer (MISR) products and validated by ground measurements from seven sites with different vegetation types. The results demonstrate that the new inversion method can effectively produce multiple physically consistent parameters with accuracy comparable to that of existing satellite products over the select sites.
Persistent Identifierhttp://hdl.handle.net/10722/321686
ISSN
2023 Impact Factor: 11.1
2023 SCImago Journal Rankings: 4.310
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorShi, Hanyu-
dc.contributor.authorXiao, Zhiqiang-
dc.contributor.authorLiang, Shunlin-
dc.contributor.authorZhang, Xiaotong-
dc.date.accessioned2022-11-03T02:20:46Z-
dc.date.available2022-11-03T02:20:46Z-
dc.date.issued2016-
dc.identifier.citationRemote Sensing of Environment, 2016, v. 184, p. 40-57-
dc.identifier.issn0034-4257-
dc.identifier.urihttp://hdl.handle.net/10722/321686-
dc.description.abstractTraditional methods usually estimate individual land surface parameters separately from surface reflectance data, a practice which requires atmospheric correction for top of atmosphere (TOA) reflectance and may result in physical inconsistency among parameters. This paper proposes a new method for consistent estimation of multiple land surface parameters and aerosol optical depth (AOD) from Moderate Resolution Imaging Spectroradiometer (MODIS) TOA reflectance data. Soil, vegetation canopy, and atmospheric radiative transfer models were coupled, and a global sensitivity analysis of the coupled model was performed to identify the influential parameters from satellite observations. The most influential parameters, including leaf area index (LAI) and aerosol optical depth (AOD), were simultaneously retrieved from MODIS TOA reflectance data and then provided as input to the coupled soil-canopy-atmosphere radiative transfer model to calculate land surface reflectance, incident photosynthetically active radiation (PAR), land surface albedo, and the fraction of absorbed photosynthetically active radiation (FAPAR). The retrieved land surface parameters and AOD were compared with the corresponding MODIS, Global Land Surface Satellite (GLASS), GEOV1, and Multi-angle Imaging Spectroradiometer (MISR) products and validated by ground measurements from seven sites with different vegetation types. The results demonstrate that the new inversion method can effectively produce multiple physically consistent parameters with accuracy comparable to that of existing satellite products over the select sites.-
dc.languageeng-
dc.relation.ispartofRemote Sensing of Environment-
dc.subjectAlbedo-
dc.subjectAOD-
dc.subjectConsistent estimation-
dc.subjectFAPAR-
dc.subjectLAI-
dc.subjectMODIS-
dc.subjectPAR-
dc.subjectTop of atmosphere-
dc.titleConsistent estimation of multiple parameters from MODIS top of atmosphere reflectance data using a coupled soil-canopy-atmosphere radiative transfer model-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.rse.2016.06.008-
dc.identifier.scopuseid_2-s2.0-84974691283-
dc.identifier.volume184-
dc.identifier.spage40-
dc.identifier.epage57-
dc.identifier.isiWOS:000383827800004-

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