DBPapers
DOI: 10.5593/sgem2017/23/S11.079

REMOTE SENSING AND GIS BASED FOREST COVER MAPPING: A CASE STUDY IN CENTRAL SIBERIA

I. Danilova, V. Ryzhkova, M. Korets
Thursday 14 September 2017 by Libadmin2017

References: 17th International Multidisciplinary Scientific GeoConference SGEM 2017, www.sgem.org, SGEM2017 Conference Proceedings, ISBN 978-619-7408-03-4 / ISSN 1314-2704, 29 June - 5 July, 2017, Vol. 17, Issue 23, 633-640 pp, DOI: 10.5593/sgem2017/23/S11.079

ABSTRACT

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 forest growth conditions and of current forest cover state. This system has been tested for a study area in Central Siberia.

Keywords: remote sensing data, digital elevation model, geographic information systems, forest cover mapping.