Cotton defoliation and post-harvest destruction are important cultural practices for cotton production. Cotton root\nrot is a serious and destructive disease that affects cotton yield and lint quality. This paper presents an overview and summary\nof the methodologies and results on the use of remote sensing technology for evaluating cotton defoliation and regrowth control\nmethods and for assessing cotton root rot infection based on published studies. Ground reflectance spectra and airborne\nmultispectral and hyperspectral imagery were used in these studies. Ground reflectance spectra effectively separated different\nlevels of defoliation and airborne multispectral imagery permitted both visual and quantitative differentiations among\ndefoliation treatments. Both ground reflectance and airborne imagery were able to differentiate cotton regrowth among\ndifferent herbicide treatments for cotton stalk destruction. Airborne multispectral and hyperspectral imagery accurately\nidentified root rot-infected areas within cotton fields. Results from these studies indicate that remote sensing can be a useful\ntool for evaluating the effectiveness of cotton defoliation and regrowth control strategies and for detecting and mapping root rot\ndamage in cotton fields. Compared with traditional visual observations and ground measurements, remote sensing techniques\nhave the potential for effective and accurate assessments of various cotton production operations and pest conditions.
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