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Title: REMOTE SENSING AND GIS BASED FOREST COVER MAPPING: A CASE STUDY IN CENTRAL SIBERIA
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REMOTE SENSING AND GIS BASED FOREST COVER MAPPING: A CASE STUDY IN CENTRAL SIBERIA
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1314-2704
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English
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This study focused on developing a multilevel system of spatial analysis of different types of data to model forest cover. We built a map of forest growth conditions using field data, climatic and morphometric parameters. Landsat images were classified with the help of a forest inventory and field database in order to map of current forest cover. Using Knowledge Engineer Module (ERDAS Imagine), we developed a knowledge base intended for modeling forest regeneration series from a spatial combination of the maps of forest growth conditions and of current forest cover state. This system has been tested for a study area in Central Siberia.
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conference
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17th International Multidisciplinary Scientific GeoConference SGEM 2017
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17th International Multidisciplinary Scientific GeoConference SGEM 2017, 29 June - 5 July, 2017
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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633-640
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29 June - 5 July, 2017
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website
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cdrom
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3249
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remote sensing data; digital elevation model; geographic information systems; forest cover mapping.
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