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Title: Improved Remotely-Sensed Estimates of Crop Residue Cover by Incorporating Soils Information

Author
item Serbin, Guy
item Daughtry, Craig
item Hunt Jr, Earle
item Doraiswamy, Paul
item BROWN, DAVID - WA STATE UNIVERSITY

Submitted to: International Geoscience and Remote Sensing Symposium Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 7/6/2008
Publication Date: 7/6/2008
Citation: Serbin, G., Daughtry, C.S., Hunt, E.R., Doraiswamy, P.C., Brown, D.J. 2008. Improved remotely-sensed estimates of crop residue cover by incorporating soils information. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium, July 6-11, 2008, Boston, Massachusetts. 2008 CDROM.

Interpretive Summary:

Technical Abstract: Remote sensing allows for the rapid determination of crop residue cover. The Cellulose Absorption Index (CAI) has been shown to more accurately estimate residue cover and non-photosynthetic vegetation than other indices. CAI is useful as values are linear areal mixtures of soil and residue spectral properties. Our research shows that spatial soil property data can be used for calibration to improve residue cover estimates. Furthermore, residue cover estimations are affected by rainfall and live green vegetation, and these need to be accounted for in analyses. This work supports the concept that future remote sensing platforms should include CAI bands to allow for better estimation of residue cover.