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Journal of Applied Remote Sensing • Open Access

Airborne multispectral detection of regrowth cotton fields
Author(s): John K. Westbrook; Charles P. C. Suh; Chenghai Yang; Yubin Lan; Ritchie S. Eyster

Paper Abstract

Effective methods are needed for timely areawide detection of regrowth cotton plants because boll weevils (a quarantine pest) can feed and reproduce on these plants beyond the cotton production season. Airborne multispectral images of regrowth cotton plots were acquired on several dates after three shredding (i.e., stalk destruction) dates. Linear spectral unmixing (LSU) classification was applied to high-resolution airborne multispectral images of regrowth cotton plots to estimate the minimum detectable size and subsequent growth of plants. We found that regrowth cotton fields can be identified when the mean plant width is ∼0.2  m for an image resolution of 0.1 m. LSU estimates of canopy cover of regrowth cotton plots correlated well (r2=0.81) with the ratio of mean plant width to row spacing, a surrogate measure of plant canopy cover. The height and width of regrowth plants were both well correlated (r2=0.94) with accumulated degree-days after shredding. The results will help boll weevil eradication program managers use airborne multispectral images to detect and monitor the regrowth of cotton plants after stalk destruction, and identify fields that may require further inspection and mitigation of boll weevil infestations.

Paper Details

Date Published: 17 February 2015
PDF: 11 pages
J. Appl. Rem. Sens. 9(1) 096081 doi: 10.1117/1.JRS.9.096081
Published in: Journal of Applied Remote Sensing Volume 9, Issue 1
Show Author Affiliations
John K. Westbrook, Agricultural Research Service (United States)
Charles P. C. Suh, Agricultural Research Service (United States)
Chenghai Yang, Agricultural Research Service (United States)
Yubin Lan, Agricultural Research Service (United States)
Ritchie S. Eyster, Agricultural Research Service (United States)

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