FOREST COVER CLASSIFICATION AND SPATIAL MODELLING BASED ON GIS (PRINCIPLES AND TECHNIQUE)

https://doi.org/10.24057/2414-9179-2015-1-21-82-89

View or download the article (Rus)

About the Authors

V. A. Ryzhkova

V.N. Sukachev Institute of Forest, Siberian Branch, Russian Academy of Science, Krasnoyarsk, Russia
Russian Federation

I. V. Danilova

V.N. Sukachev Institute of Forest, Siberian Branch, Russian Academy of Science, Krasnoyarsk, Russia
Russian Federation

M. A. Korets

V.N. Sukachev Institute of Forest, Siberian Branch, Russian Academy of Science, Krasnoyarsk, Russia
Russian Federation

Abstract

A technique of conjugate analysis of dissimilar data in a stepwise manner for spatial modeling of potential forest growing conditions and forest regeneration dynamics was developed using standard software (ArcGIS, ERDAS). This algorithm involves spatial analysis of multi-band satellite data, a digital elevation model, and ground measurements. Based on this algorithm, maps reflecting the diversity of forest growing conditions and forest regeneration series and stages were developed to south central Siberia.

Keywords

Central Siberia, forest cover, potential forest growing conditions, digital elevation model (DEM), Geographical Information System (GIS), remote sensing data, forest regeneration dynamics map.

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For citation: Ryzhkova V.A., Danilova I.V., Korets M.A. FOREST COVER CLASSIFICATION AND SPATIAL MODELLING BASED ON GIS (PRINCIPLES AND TECHNIQUE). Proceedings of the International conference “InterCarto. InterGIS”. 2015;21(1):82-89. https://doi.org/10.24057/2414-9179-2015-1-21-82-89