Rule-based classification of hyper-temporal, multi-spectral satellite imagery for land-cover mapping and monitoring.
A rule-based classification model was developed to derive land-cover information from a large set of hyper-temporal, multi-spectral satellite imagery encompassing the state of Arizona. The model uses Advanced Very High Resolution Radiometer (AVHRR) imagery and the 30-minute digital elevation model (...
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| Language: | en |
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The University of Arizona.
1996
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| Online Access: | http://hdl.handle.net/10150/187473 |