Informatics and computational method for inundation and land use study in Arctic Sea eastern Siberia, Russia

Mukesh Singh Boori; Komal Choudhary; Alexander Kupriyanov; Atsuko Sugimoto

doi:10.1117/12.2268153

14 December 2016 Informatics and computational method for inundation and land use study in Arctic Sea eastern Siberia, Russia

Mukesh Singh Boori, Komal Choudhary, Alexander Kupriyanov, Atsuko Sugimoto

Author Affiliations +

Proceedings Volume 10176, Asia-Pacific Conference on Fundamental Problems of Opto- and Microelectronics; 101761D (2016) https://doi.org/10.1117/12.2268153
Event: Asia-Pacific Conference on Fundamental Problems of Opto- and Microelectronics, 2016, Khabarovsk, Russia

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.

Citation Download Citation

Mukesh Singh Boori, Komal Choudhary, Alexander Kupriyanov, and Atsuko Sugimoto "Informatics and computational method for inundation and land use study in Arctic Sea eastern Siberia, Russia", Proc. SPIE 10176, Asia-Pacific Conference on Fundamental Problems of Opto- and Microelectronics, 101761D (14 December 2016); https://doi.org/10.1117/12.2268153

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