Spider Mite Damage Mapping and Cotton Canopy Biophysical Characterization Using Spectral Mixture Analysis

Journal
Symposium on Taiwan-America Agricultural Cooperative Projects
Pages
155-162
ISBN
986-00-2844-3
Date Issued
2005-11-15
Author(s)
Glenn J. Fitzgerald
Stephen J. Maas
Paul J. Ponter, Jr.
Douglas J. Hunsaker
Thomas R. Clarke
URI
Abstract
Spectral mixture analysis (SMA) is an analytical tool that can identify and measure the components that make up mixed pixels. Used with hyperspectral remotely-sensed (HRS) imagery, SMA permits mapping of surface components from research plot to landscape scales. These technologies are being used increasingly in agronomic research and have potential for precision agriculture to map spatially and temporally variable crop conditions and stresses.
Event(s)
Symposium on Taiwan-America Agricultural Cooperative Projects
臺美農業合作成果發表研討會
Subjects
Spectral mixture analysis
Hyperspectral remote sensing
precision agriculture
Cotton
spider mites
Publisher
Agricultural Research Institute, Council of Agriculture
Type
conference paper
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Symposium on Taiwan-America Agricultural Cooperative Projects-18.pdf

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