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Remote Sens. 2009, 1(4), 971-991; doi:10.3390/rs1040971

An Improved ASTER Index for Remote Sensing of Crop Residue

ASRC Management Services, USDA/FAS Office of Global Analysis, Washington, DC 20250, USA
USDA/ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, USA
Author to whom correspondence should be addressed.
Received: 13 July 2009 / Revised: 30 October 2009 / Accepted: 5 November 2009 / Published: 11 November 2009
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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.
Keywords: crop residue; non-photosynthetic vegetation; ASTER; agricultural remote sensing crop residue; non-photosynthetic vegetation; ASTER; agricultural remote sensing

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Serbin, G.; Hunt, E.R., Jr.; Daughtry, C.S.T.; McCarty, G.W.; Doraiswamy, P.C. An Improved ASTER Index for Remote Sensing of Crop Residue. Remote Sens. 2009, 1, 971-991.

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