
REMOTE SENSING AND GIS BASED FOREST COVER MAPPING: A CASE STUDY IN CENTRAL SIBERIA
(STEF92 Technology, 2017-06-20, Irina Danilova, Vera Ryzhkova, Michael Korets)
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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 ...








