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Proceedings Paper

Natural and environmental vulnerability analysis through remote sensing and GIS techniques: a case study of Indigirka River basin, Eastern Siberia, Russia
Author(s): Mukesh S. Boori; Komal Choudhary; Alexander Kupriyanov; Atsuko Sugimoto; Mariele Evers
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Paper Abstract

The aim of this research work is to understand natural and environmental vulnerability situation and its cause such as intensity, distribution and socio-economic effect in the Indigirka River basin, Eastern Siberia, Russia. This paper identifies, assess and classify natural and environmental vulnerability using landscape pattern from multidisciplinary approach, based on remote sensing and Geographical Information System (GIS) techniques. A model was developed by following thematic layers: land use/cover, vegetation, wetland, geology, geomorphology and soil in ArcGIS 10.2 software. According to numerical results vulnerability classified into five levels: low, sensible, moderate, high and extreme vulnerability by mean of cluster principal. Results are shows that in natural vulnerability maximum area covered by moderate (29.84%) and sensible (38.61%) vulnerability and environmental vulnerability concentrated by moderate (49.30%) vulnerability. So study area has at medial level vulnerability. The results found that the methodology applied was effective enough in the understanding of the current conservation circumstances of the river basin in relation to their environment with the help of remote sensing and GIS. This study is helpful for decision making for eco-environmental recovering and rebuilding as well as predicting the future development.

Paper Details

Date Published: 18 October 2016
PDF: 10 pages
Proc. SPIE 10005, Earth Resources and Environmental Remote Sensing/GIS Applications VII, 100050U (18 October 2016); doi: 10.1117/12.2240917
Show Author Affiliations
Mukesh S. Boori, Samara Univ. (Russian Federation)
American Sentinel Univ. (United States)
Hokkaido Univ. (Japan)
Komal Choudhary, Samara Univ. (Russian Federation)
Alexander Kupriyanov, Samara Univ. (Russian Federation)
Image Processing Systems Institute (Russian Federation)
Atsuko Sugimoto, Hokkaido Univ. (Japan)
Mariele Evers, Bonn Univ. (Germany)


Published in SPIE Proceedings Vol. 10005:
Earth Resources and Environmental Remote Sensing/GIS Applications VII
Ulrich Michel; Karsten Schulz; Manfred Ehlers; Konstantinos G. Nikolakopoulos; Daniel Civco, Editor(s)

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