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Volumn 72, Issue 8, 2006, Pages 949-960

Automated forest area estimation using iterative guided spectral class rejection

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; IMAGE PROCESSING; ITERATIVE METHODS; LAND USE; REMOTE SENSING;

EID: 33746603042     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.72.8.949     Document Type: Review
Times cited : (20)

References (26)
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  • 5
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  • 6
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    • Using classified Landsat Thematic Mapper data for stratification in a statewide forest inventory
    • (R.E. McRoberts, G.A. Reams and P.C. Van Deusen, editors), St. Paul, Minnesota, USDA Forest Service North Central Research Station (General Technical Report NC-213)
    • Hansen, M.H., and D.G. Wendt, 2000. Using classified Landsat Thematic Mapper data for stratification in a statewide forest inventory, Proceedings of the First Annual Forest Inventory and Analysis Symposium (R.E. McRoberts, G.A. Reams and P.C. Van Deusen, editors), St. Paul, Minnesota, USDA Forest Service North Central Research Station (General Technical Report NC-213), pp. 20-27.
    • (2000) Proceedings of the First Annual Forest Inventory and Analysis Symposium , pp. 20-27
    • Hansen, M.H.1    Wendt, D.G.2
  • 7
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    • Kelly, M., K. Tuxen, and F. Kearns, 2004. Geospatial informatics for management of a new forest disease: Sudden Oak Death, Photogrammetric Engineering & Remote Sensing, 70(10):1001-1012.
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  • 10
    • 0042572477 scopus 로고    scopus 로고
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  • 12
    • 0036267078 scopus 로고    scopus 로고
    • Using a land cover classification based on satellite imagery to improve the precision of forest inventory area estimates
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  • 19
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