Share Email Print
cover

Proceedings Paper

Informatics and computational method for inundation and land use study in Arctic Sea eastern Siberia, Russia
Author(s): Mukesh Singh Boori; Komal Choudhary; Alexander Kupriyanov; Atsuko Sugimoto
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Eastern Siberia, Russia is physically and socio-economically vulnerable to accelerated Arctic sea level rise due to low topography, high ecological value, harsh climatic conditions, erosion and flooding of coastal area and destruction of harbor constructions and natural coastal hazards. A 1 to 10m inundation land loss scenarios for surface water and sea level rise (SLR) were developed using digital elevation models of study site topography through remote sensing and GIS techniques by ASTER GDEM and Landsat OLI data. Results indicate that 10.82% (8072.70km2) and 29.73% (22181.19km2) of the area will be lost by flooding at minimum and maximum inundation levels, respectively. The most severely impacted sectors are expected to be the vegetation, wetland and the natural ecosystem. Improved understanding of the extent and response of SLR will help in preparing for mitigation and adaptation.

Paper Details

Date Published: 14 December 2016
PDF: 6 pages
Proc. SPIE 10176, Asia-Pacific Conference on Fundamental Problems of Opto- and Microelectronics, 101761D (14 December 2016); doi: 10.1117/12.2268153
Show Author Affiliations
Mukesh Singh Boori, Samara National Research Univ. (Russian Federation)
American Sentinel Univ. (United States)
Hokkaido Univ. (Japan)
Komal Choudhary, Samara National Research Univ. (Russian Federation)
Alexander Kupriyanov, Samara National Research Univ. (Russian Federation)
Image Processing Systems Institute (Russian Federation)
Atsuko Sugimoto, Hokkaido Univ. (Japan)


Published in SPIE Proceedings Vol. 10176:
Asia-Pacific Conference on Fundamental Problems of Opto- and Microelectronics
Yuri N. Kulchin; Roman V. Romashko; Alexander V. Syuy, Editor(s)

© SPIE. Terms of Use
Back to Top