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Classification of forest vegetation in north-central Minnesota using Landsat Multispectral Scanner and Thematic Mapper data
M. M. Moore, M. E. Bauer
Forestry, School of
Research output
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Contribution to journal
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Article
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peer-review
35
Scopus citations
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Dive into the research topics of 'Classification of forest vegetation in north-central Minnesota using Landsat Multispectral Scanner and Thematic Mapper data'. Together they form a unique fingerprint.
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Keyphrases
North Central
100%
Minnesota
100%
Forest Vegetation
100%
Classification Accuracy
100%
Landsat
100%
Thematic Mapper
100%
Multispectral Scanner
100%
Forest Characteristics
50%
Performance Measures
50%
Classification Results
50%
Computer Classification
50%
Landsat 5
50%
Pixel-based
50%
Classification Map
50%
Sensor Characteristics
50%
Number of Sensors
50%
Reference Map
50%
State Parks
50%
Class number
50%
Landsat Image Classification
50%
Forest Cover Type
50%
Multivariate Statistics
50%
Scanned Data
50%
Earth and Planetary Sciences
Vegetation
100%
Minnesota
100%
Landsat Multispectral Scanner
100%
Forest Cover
50%
Multispectral Scanner
50%
Landsat 5
50%
Landsat
50%