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Conference Paper: Land surface geo/biophysical variable estimation from EO-1 data and validation

TitleLand surface geo/biophysical variable estimation from EO-1 data and validation
Authors
Liang, ShunlinFang, HongliangKaul, MonishaVan Niel, TomMcVicar, TimCampbell, SusanWalthall, CharlesDaughtry, CraigPearlman, Jay
Issue Date2001
Citation
International Geoscience and Remote Sensing Symposium (IGARSS), 2001, v. 6, p. 2908-2910 How to Cite?
DOI: http://dx.doi.org/10.1109/IGARSS.2001.978202
AbstractWe present several algorithms in this paper for estimating a series of land surface geophysical and biophysical variables from two EO-1 (earth Observing-1) sensors: ALI (advanced land imager) and Hyperion. These variables include spectral reflectance from the atmospheric correction algorithms, broadband albedos converted from narrowband albedos, and leaf area index. The field campaign at Coleambally, Australia as part of the validation activities will also be described. ALI corresponds to the Landsat7/ETM+ sensor, its advantages for estimating these land surface variables over ETM+ will be demonstrated.
Persistent Identifierhttp://hdl.handle.net/10722/321262

 

DC FieldValueLanguage
dc.contributor.authorLiang, Shunlin-
dc.contributor.authorFang, Hongliang-
dc.contributor.authorKaul, Monisha-
dc.contributor.authorVan Niel, Tom-
dc.contributor.authorMcVicar, Tim-
dc.contributor.authorCampbell, Susan-
dc.contributor.authorWalthall, Charles-
dc.contributor.authorDaughtry, Craig-
dc.contributor.authorPearlman, Jay-
dc.date.accessioned2022-11-03T02:17:44Z-
dc.date.available2022-11-03T02:17:44Z-
dc.date.issued2001-
dc.identifier.citationInternational Geoscience and Remote Sensing Symposium (IGARSS), 2001, v. 6, p. 2908-2910-
dc.identifier.urihttp://hdl.handle.net/10722/321262-
dc.description.abstractWe present several algorithms in this paper for estimating a series of land surface geophysical and biophysical variables from two EO-1 (earth Observing-1) sensors: ALI (advanced land imager) and Hyperion. These variables include spectral reflectance from the atmospheric correction algorithms, broadband albedos converted from narrowband albedos, and leaf area index. The field campaign at Coleambally, Australia as part of the validation activities will also be described. ALI corresponds to the Landsat7/ETM+ sensor, its advantages for estimating these land surface variables over ETM+ will be demonstrated.-
dc.languageeng-
dc.relation.ispartofInternational Geoscience and Remote Sensing Symposium (IGARSS)-
dc.titleLand surface geo/biophysical variable estimation from EO-1 data and validation-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/IGARSS.2001.978202-
dc.identifier.scopuseid_2-s2.0-0035573339-
dc.identifier.volume6-
dc.identifier.spage2908-
dc.identifier.epage2910-

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