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Vegetation/Land Cover Mapping of the Middle Fork of the Feather River Watershed Using Landsat Digital Data

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The objective of this study was to use Landsat digital data combined with U-2 color infrared photography of the scale 1:30,000 and 1:120,000 for vegetation mapping of a forested area in northern California. This area, known as the Middle Fork of the Feather River Watershed, covers approximately 780,000 ha. The approach involved geometric correction of Landsat digital data (based on 43 control points), selection of ten training sites (100 x 100 pixels each), unsupervised classification of training sites, supervised classification of the entire study area, and production of results. Two approaches for unsupervised classification were examined, and the best results were achieved when the training sites were classified independently. The results included statistical summaries and a color-coded map of vegetation and land cover for the study area. Based on this study, we concluded that Landsat data provided the investigators with a quick and cost-effective means of mapping this vast and diverse area. Forest Sci. 30:248-258.

Document Type: Journal Article

Affiliations: Department of Forestry and Resource Management, University of California, Berkeley, CA 94720

Publication date: March 1, 1984

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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