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Remote Sensing for Predicting Cotton Yield

J. Alex Thomasson, Jian Chen, James R. Wooten and Scott A. Shearer


 
ABSTRACT

Maps of predicted yields could help cotton farmers better manage and market their cotton crops. Remote sensing has the potential to supply current information on crop status that could make possible the creation of estimated yield maps during the growing season. Multispectral satellite images, acquired during the growing seasons in 1998 and 1999, were examined for their relationships with cotton yield in two irrigated Mississippi-Delta cotton fields. It was found that one infrared image of each field, acquired in advance of harvest, was well correlated with cotton yield.





Reprinted from Proceedings of the 2001 Beltwide Cotton Conferences pp. 317 - 319
©National Cotton Council, Memphis TN

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Document last modified XXXXXX, XXX XX 2001