|Title:||Spider Mite Damage Mapping and Cotton Canopy Biophysical Characterization Using Spectral Mixture Analysis||Authors:||Glenn J. Fitzgerald
Stephen J. Maas
Paul J. Ponter, Jr.
Douglas J. Hunsaker
Thomas R. Clarke
|Keywords:||Spectral mixture analysis;Hyperspectral remote sensing;precision agriculture;Cotton;spider mites||Issue Date:||15-Nov-2005||Publisher:||Agricultural Research Institute, Council of Agriculture||Start page/Pages:||155-162||Source:||Symposium on Taiwan-America Agricultural Cooperative Projects||Conference:||Symposium on Taiwan-America Agricultural Cooperative Projects
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.
|Appears in Collections:||植物病理組|
|Symposium on Taiwan-America Agricultural Cooperative Projects-18.pdf||3.28 MB||Adobe PDF||View/Open|
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