Classification of Forest Growing Conditions in and Around the Norilsk Industrial Region and Assessment of Vegetation State and Dynamics
V. A. RYZHKOVA, I. V. DANILOVA, M. A. KORETS
V. N. Sukachev Institute of Forest SB RAS, 660036, Krasnoyarsk, Akademgorodok, 50/28
Keywords: Central Siberia, forest growing conditions classification and mapping, GIS, digital elevation model (DEM)
Abstract
The paper discusses the development of an automated classification of forest growth conditions based on the analysis of GIS data in order to assess the current state of forest vegetation and to build spatial models of its regeneration dynamics. An area located in the northern part of Siberia, close to the Yenisei River, was used as the experimental site to test and improve a methodology of automated classification and mapping of forest growung conditions based on a spatial analysis of a digital elevation model (SRTM 90m) and ground data. Using the classification of heterogeneous data done in Knowledge Engineer Module three layers of potential forest growth conditions were formed to serve as a base for automated mapping of vegetation dynamics.
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