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United States Department of Agriculture

Agricultural Research Service

Research Project: ASSESSING CLIMATE, SOIL AND LANDSCAPE PROCESSES AFFECTING AGRICULTURAL ECOSYSTEMS Title: Assessment of Spectral Indices for Crop Residue Cover Estimation

item Serbin, Guy -
item Hunt, Earle
item Daughtry, Craig
item Brown, D -
item McCarty, Gregory
item Doraiswamy, Paul

Submitted to: International Geoscience and Remote Sensing Symposium Proceedings
Publication Type: Proceedings
Publication Acceptance Date: July 25, 2010
Publication Date: July 25, 2010
Citation: Serbin, G., Hunt, E.R., Daughtry, C.S., Brown, D.J., McCarty, G.W., Doraiswamy, P.C. 2010. Assessment of spectral indices for crop residue cover estimation. In: Proceedings of the International Geoscience and Remote Sensing Symposium Proceedings, July 25-30, 2010, Honolulu, Hawaii. p. 1827-1830.

Technical Abstract: The quantification of surficial crop residue (non-photosynthetic vegetation) cover is important for assessing agricultural tillage practices, rangeland health, and brush fire hazards. The Cellulose Absorption Index (CAI) and the Shortwave Infrared Normalized Difference Residue Index (SINDRI) are two spectral indices that have shown promise for remote estimation of crop residue cover. CAI and SINDRI utilize three and two spectral bands, respectively, rendering the latter less expensive to implement in future satellite sensors. This study shows that while CAI always contrasts well among soils, crop residues, and live vegetation, this is not always the case for SINDRI. A small number of surficial soil samples had positive SINDRI values that have reduced contrasts among crop residues. Some of these soils were biased by SINDRI-positive component minerals. As such, SINDRI is less applicable for remote crop residue cover estimation, even with reduced implementation costs.

Last Modified: 8/27/2015
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