Multispectral scanner imagery for plant community classification.Optimum channel selection among 12 channels of multispectral scanner imagery identified six as providing the best information for computerized classification of 11 plant communities and two nonvegetation classes. Intensive preprocessing of the spectral data was required to eliminate bidirectional reflectance effects of the spectral imagery caused by scanner view angle and varying geometry of the plant canopy. Generalized plant community types - forest, grassland, and hydrophytic systems - were acceptably classified based on ecological analysis. Serious, but soluble, errors occurred with attempts to classify specific community types within the grassland system. However, special clustering analyses provided for improved classification of specific grassland communities.
Document ID
19730055099
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Driscoll, R. S. (U.S. Department of Agriculture, Rocky Mountain Forest and Range Experiment Station, Fort Collins Colo., United States)
Spencer, M. M. (Michigan, Environmental Research Institute, Ann Arbor Mich., United States)
Date Acquired
August 7, 2013
Publication Date
January 1, 1973
Subject Category
Geophysics
Meeting Information
Meeting: International Symposium on Remote Sensing of Environment
Location: Ann Arbor, MI
Start Date: October 2, 1972
End Date: October 6, 1972
Accession Number
73A39901
Funding Number(s)
CONTRACT_GRANT: NASA ORDER R-9-9784 CONTRACT_GRANT: NASA ORDER R-09-038-002