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Estimation and Validation of Land Surface Broadband Albedos and Leaf Area Index From EO-1 ALI Data

dc.contributor.authorLiang, Shunlin
dc.contributor.authorFang, Hongliang
dc.contributor.authorKaul, Monisha
dc.contributor.authorVan Niel, Tom G.
dc.contributor.authorMcVicar, Tim R.
dc.contributor.authorPearlman, Jay S.
dc.contributor.authorHuemmrich, Karl Fred
dc.contributor.authorWalthall, Charles L.
dc.contributor.authorDaughtry, Craig S. T.
dc.date.accessioned2007-02-28T21:00:26Z
dc.date.available2007-02-28T21:00:26Z
dc.date.issued2003-06
dc.identifier.citationLiang, S., H. Fang, M. Kaul, T. Van Niel, T. McVicar, J. Pearlman, C. Walthall, C. Daughtry, F. Huemmerich, (2003), Estimation and Validation of Land Surface Broadband Albedos and Leaf Area Index From EO-1 ALI Data , Special Issue of IEEE Transactions on Geoscience and Remote Sensing, 41 (6): 1260-1267.en
dc.identifier.urihttp://hdl.handle.net/1903/4322
dc.description.abstractThe Advanced Land Imager (ALI) is a multispectral sensor onboard the National Aeronautics and Space Administration Earth Observing 1 (EO-1) satellite. It has similar spatial resolution to Landsat-7 Enhanced Thematic Mapper Plus (ETM+), with three additional spectral bands. We developed new algorithms for estimating both land surface broadband albedo and leaf area index (LAI) from ALI data. A recently developed atmospheric correction algorithm for ETM+ imagery was extended to retrieve surface spectral reflectance from ALI top-of-atmosphere observations. A feature common to these algorithms is the use of new multispectral information from ALI. The additional blue band of ALI is very useful in our atmospheric correction algorithm, and two additional ALI near-infrared bands are valuable for estimating both broadband albedo and LAI. Ground measurements at Beltsville, MD, and Coleambally, Australia, were used to validate the products generated by these algorithms.en
dc.description.sponsorshipThis work was supported in part by the National Aeronautics and Space Administration under Grant NCC5462 and by funding provided by the Australian Federal Government to the Commonwealth Scientific and Industrial Research Organization and the Cooperative Research Centre for Sustainable Rice Production, Project 1105.en
dc.format.extent750943 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.subjectAtmospheric correctionen
dc.subjectAdvanced Land Imageren
dc.subjectALIen
dc.subjectbroadband albedosen
dc.subjectEarth Observing 1en
dc.subjectEO-1en
dc.subjectleaf area indexen
dc.subjectLAIen
dc.subjectvalidationen
dc.titleEstimation and Validation of Land Surface Broadband Albedos and Leaf Area Index From EO-1 ALI Dataen
dc.typeArticleen
dc.relation.isAvailableAtCollege of Behavioral & Social Sciencesen_us
dc.relation.isAvailableAtGeographyen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_us
dc.rights.licenseCopyright Institute of Electrical and Electronics Engineers.en_us


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