Mapping of Taiga Forest Units Using AirSar Data and/or Optical Data, and Retrieval of Forest Parameters
A maximum a posteriori Bayesian Classifier is used to perform a supervised classification of multifrequency, polariemtric, airborne, SAR obserations of boreal forests from the Bonanza Creek Experimental Forest, near Fairbanks, AK, into six Categories.
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| Language: | English |
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2004
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| Online Access: | http://hdl.handle.net/2014/35459 |
| Summary: | A maximum a posteriori Bayesian Classifier is used to perform a supervised classification of multifrequency, polariemtric, airborne, SAR obserations of boreal forests from the Bonanza Creek Experimental Forest, near Fairbanks, AK, into six Categories. |
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