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Conference Paper: Deriving land surface biophysical parameters from satellite data for soil carbon sequenstration

TitleDeriving land surface biophysical parameters from satellite data for soil carbon sequenstration
Authors
Fang, HongliangLiang, ShunlinMcClaran, Mitchel P.Van Leeuwen, Willem J.D.Drake, SamMarsh, Stuart E.Thomson, AllisonIzaurralde, Roberto C.Rosenberg, Norman J.
KeywordsCHRIS
Leaf area index (LAI)
Semi-arid rangeland
Vegetation Index (VI)
Issue Date2004
Citation
International Geoscience and Remote Sensing Symposium (IGARSS), 2004, v. 6, p. 4277-4280 How to Cite?
DOI: http://dx.doi.org/10.1109/IGARSS.2004.1370081
AbstractWe apply a hybrid inversion algorithm to estimate land surface biophysical variables (e.g., leaf area index) from the CHRIS (Compact High Resolution Imaging Spectrometer), and ETM+. Field campaigns were conducted over Tucson, Arizona to validate the algorithms and the products. The derived products were compared for different human management activities. These products are then available for input to a plant growth model for calculating the potential for carbon sequestration.
Persistent Identifierhttp://hdl.handle.net/10722/321290

 

DC FieldValueLanguage
dc.contributor.authorFang, Hongliang-
dc.contributor.authorLiang, Shunlin-
dc.contributor.authorMcClaran, Mitchel P.-
dc.contributor.authorVan Leeuwen, Willem J.D.-
dc.contributor.authorDrake, Sam-
dc.contributor.authorMarsh, Stuart E.-
dc.contributor.authorThomson, Allison-
dc.contributor.authorIzaurralde, Roberto C.-
dc.contributor.authorRosenberg, Norman J.-
dc.date.accessioned2022-11-03T02:17:55Z-
dc.date.available2022-11-03T02:17:55Z-
dc.date.issued2004-
dc.identifier.citationInternational Geoscience and Remote Sensing Symposium (IGARSS), 2004, v. 6, p. 4277-4280-
dc.identifier.urihttp://hdl.handle.net/10722/321290-
dc.description.abstractWe apply a hybrid inversion algorithm to estimate land surface biophysical variables (e.g., leaf area index) from the CHRIS (Compact High Resolution Imaging Spectrometer), and ETM+. Field campaigns were conducted over Tucson, Arizona to validate the algorithms and the products. The derived products were compared for different human management activities. These products are then available for input to a plant growth model for calculating the potential for carbon sequestration.-
dc.languageeng-
dc.relation.ispartofInternational Geoscience and Remote Sensing Symposium (IGARSS)-
dc.subjectCHRIS-
dc.subjectLeaf area index (LAI)-
dc.subjectSemi-arid rangeland-
dc.subjectVegetation Index (VI)-
dc.titleDeriving land surface biophysical parameters from satellite data for soil carbon sequenstration-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/IGARSS.2004.1370081-
dc.identifier.scopuseid_2-s2.0-15944378862-
dc.identifier.volume6-
dc.identifier.spage4277-
dc.identifier.epage4280-

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