Paper
8 February 2001 Airborne hyperspectral imagery for the detection of agricultural crop stress
Philip E. Cassady, Eileen M. Perry, Margaret E. Gardner, Dar A. Roberts
Author Affiliations +
Proceedings Volume 4151, Hyperspectral Remote Sensing of the Land and Atmosphere; (2001) https://doi.org/10.1117/12.417008
Event: Second International Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 2000, Sendai, Japan
Abstract
Multispectral digital imagery from aircraft or satellite is presently being used to derive basic assessments of crop health for growers and others involved in the agricultural industry. Research indicates that narrow band stress indices derived from hyperspectral imagery should have improved sensitivity to provide more specific information on the type and cause of crop stress. Under funding from the NASA Earth Observation Commercial Applications Program we are identifying and evaluating scientific and commercial applications of hyperspectral imagery for the remote characterization of agricultural crop stress. During the summer of 1999 a field experiment was conducted with varying nitrogen treatments on a production corn-field in eastern Nebraska. The AVIRIS hyperspectral imager was flown at two critical dates during crop development, at two different altitudes, providing images with approximately 18m pixels and 3m pixels. Simultaneous supporting soil sampling, and aerial photography. In this paper we describe the experiments and results.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Philip E. Cassady, Eileen M. Perry, Margaret E. Gardner, and Dar A. Roberts "Airborne hyperspectral imagery for the detection of agricultural crop stress", Proc. SPIE 4151, Hyperspectral Remote Sensing of the Land and Atmosphere, (8 February 2001); https://doi.org/10.1117/12.417008
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Cited by 3 scholarly publications.
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KEYWORDS
Nitrogen

Reflectivity

Visibility

Agriculture

Hyperspectral imaging

Spectral calibration

Sensors

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