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

Dr. Irina Danilova, Dr. Vera Ryzhkova, Dr. Michael Korets

First published: 2017-06-20https://doi.org/10.5593/sgem2017/23/s11.079View metrics

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.

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Title
REMOTE SENSING AND GIS BASED FOREST COVER MAPPING: A CASE STUDY IN CENTRAL SIBERIA
Authors
Dr. Irina Danilova, Dr. Vera Ryzhkova, Dr. Michael Korets
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
633-640
SWS Citekey
Danilova201711633640
ISSN
1314-2704
ISBN
978-619-7408-03-4
Language
en
Publication type
Conference Paper
Keywords
remote sensing datadigital elevation modelgeographic information systemsforest cover mapping.
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