GIS-based classification and mapping of forest site conditions and vegetation

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Published: May 31, 2017
DOI: https://doi.org/10.4067/S0717-92002012000300011
Keywords:
- Central Siberia
- site conditions and forest type mapping
- geographical information system (GIS)
- digital elevation model (DEM)
- remote sensing data

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Vera Ryzhkova
Siberian Branch, Russian Academy of Science, VN Sukachev Institute of Forest, Krasnoyarsk, 660036, Russia.
Irina Danilova
Siberian Branch, Russian Academy of Science, VN Sukachev Institute of Forest, Krasnoyarsk, 660036, Russia.

Abstract

A method of automated classification and mapping based on a spatial analysis of a digital elevation model (Shuttle Radar Topography Mission (SRTM 90m), Landsat 5-TM imagery, and ground data was applied to classify and map forest site conditions and vegetation on a test site. The vector maps obtained reflected the test site potential environmental conditions, forest types, and regenerating vegetation age stages.

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How to Cite
Ryzhkova, V., & Danilova, I. (2017). GIS-based classification and mapping of forest site conditions and vegetation. Bosque, 33(3), 293–297. https://doi.org/10.4067/S0717-92002012000300011
Issue
Vol. 33 No. 3 (2012)
Section
Articles

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