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

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.

pdf

Section

Articles

Issue

Vol. 33 No. 3 (2012)

Published:
May 31, 2017

Keywords:

Central Siberia

site conditions and forest type mapping

geographical information system (GIS)

digital elevation model (DEM)

remote sensing data

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.

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.

How to Cite

Ryzhkova, V., & Danilova, I. (2017). GIS-based classification and mapping of forest site conditions and vegetation. BOSQUE, 33(3), 293–297. Retrieved from https://www.revistabosque.org/index.php/bosque/article/view/663

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