An Improved ASTER Index for Remote Sensing of Crop Residue

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dc.contributor.authorSerbin, Guy
dc.contributor.authorHunt, E. Raymond
dc.contributor.authorDaughtry, Craig S. T.
dc.contributor.authorMcCarty, Gregory W
dc.contributor.authorDoraiswamy, Paul C.
dc.date.accessioned2011-01-12T14:30:00Z
dc.date.available2011-01-12T14:30:00Z
dc.date.issued2010en_US
dc.description.abstract"Unlike traditional ground-based methodology, remote sensing allows for the rapid estimation of crop residue cover (fR). While the Cellulose Absorption Index (CAI) is ideal for fR estimation, a new index, the Shortwave Infrared Normalized Difference Residue Index (SINDRI), utilizing ASTER bands 6 and 7, is proposed for future multispectral sensors and would be less costly to implement. SINDRI performed almost as well as CAI and better than other indices at five locations in the USA on multiple dates. A minimal upgrade from one broad band to two narrow bands would provide fR data for carbon cycle modeling and tillage verification."en_US
dc.identifier.citationjournalRemote Sensingen_US
dc.identifier.citationpages971-991en_US
dc.identifier.citationvolume1en_US
dc.identifier.urihttps://hdl.handle.net/10535/6735
dc.languageEnglishen_US
dc.subjectcropsen_US
dc.subjectagricultureen_US
dc.subjectremote sensingen_US
dc.subject.sectorAgricultureen_US
dc.titleAn Improved ASTER Index for Remote Sensing of Crop Residueen_US
dc.typeJournal Articleen_US
dc.type.methodologyCase Studyen_US
dc.type.publishedpublisheden_US

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