DBPapers
DOI: 10.5593/SGEM2016/B22/S10.124

MONITORING LAND USE/COVER CHANGE DETECTION THROUGH REMOTE SENSING AND GIS TECHNIQUES IN EASTERN SIBERIA, RUSSIA

M. Boori, K. Choudhary, A.Kupriyanov, A. Sugimoto, V.Kovelskiy
Thursday 8 September 2016 by Libadmin2016

References: 16th International Multidisciplinary Scientific GeoConference SGEM 2016, www.sgem.org, SGEM2016 Conference Proceedings, ISBN 978-619-7105-59-9 / ISSN 1314-2704, June 28 - July 6, 2016, Book2 Vol. 2, 971-978 pp

ABSTRACT
In landscape studies, land use/cove is very important and useful information for
sustainable development and planning. Remote sensing and Geographical Information
System (GIS) technology with multi-temporal satellite imagery are widely used for this
purpose. The present study applied supervised classification-maximum likelihood
algorithm in ArcGIS 10.2 Software to detect land use/cover changes in Eastern Siberia,
Russia using multi-spectral satellite data obtained from Landsat 7 and 8 for the years of
2000, 2008 and 2015 respectively. The study area was classified into five major land
use/cove classes’ viz. settlements, vegetation, water/ice, wasteland and wetland. Change detection analysis shows that in first half (2000-2008) wasteland area was increased from 1015 to 12620 km2 by 15% and wetland reduced by 13%. In second half from 2008 to 2015 wasteland shrink more than 13% and wetland augmented around 9% but in the same time other classes have minor variation. The results suggest that spatial pattern metrics of land cover changes can provide a good quantitative measurement for better understanding of the spatio-temporal pattern of land use/cover change due to different causes which proposes concrete perspectives and possibilities to benefit from existing commonalities in the construction and application of assessment tools.

Keywords: Land use/cover, change detection, remote sensing, GIS.