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Aerial Photography and Videography for Detecting and Mapping Dicamba Injury Patterns

Published online by Cambridge University Press:  12 June 2017

Michael V. Hickman ,
James H. Everitt ,
David E. Escobar  and
Arthur J. Richardson
Michael V. Hickman
Affiliation:
U.S. Dep. Agric., Agric. Res. Serv. Weslaco, TX
James H. Everitt
Affiliation:
U.S. Dep. Agric., Agric. Res. Serv. Weslaco, TX
David E. Escobar
Affiliation:
U.S. Dep. Agric., Agric. Res. Serv. Weslaco, TX
Arthur J. Richardson
Affiliation:
U.S. Dep. Agric., Agric. Res. Serv. Weslaco, TX
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Abstract

Field trials were conducted to compare on-site visual evaluations with color-infrared photography (CIR), and near-infrared (NIR) videography (video) and hand-held radiometry (HHR) for detecting and mapping dicamba injury in cotton. CIR, video, and HHR detected 48%, 42% and 36%, respectively, of the injured crop area as defined by visual evaluation (injury ratings >0 on a scale of 0 to 9). The remote techniques were unable to differentiate crop injury that did not involve the entire plant canopy. Reflectance measurements in the visible red (R) (630–690 nm) and NIR (760–900 nm) wavelengths were taken and used in herbicide dosage prediction equations. Predicted herbicide dosages were significantly, positively correlated (P≤0.01) with physical measures of herbicide present. These studies suggest that remote detection and mapping of moderate and severe herbicide injury is possible. Further, NIR videography, with near-real-time capability and low cost may be the system of choice for this type of application.

Keywords

Dicamba, 3,6-dichloro-2-methoxybenzoic acid, cotton, Gossypium hirsutum L. ‘Deltapine 41’Remote sensingvegetation indexnear-infrared videographycolor-infrared photographyGossypium hirsutum.
Type
Research
Information
Weed Technology , Volume 5 , Issue 4 , December 1991 , pp. 700 - 706
Copyright
Copyright © 1990 by the Weed Science Society of America 

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