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Computer Optics, 2016, Volume 40, Issue 5, Pages 752–758 (Mi co297)  

IMAGE PROCESSING, PATTERN RECOGNITION

Vulnerability analysis on Hyderabad city, India

M. Booriabc, K. Choudharya, A. V. Kupriyanovad

a Samara National Research University, Samara, Russia
b Bonn University, Bonn, Germany
c American Sentinel University, Colorado, USA
d Image Processing Systems Institute îf RAS, – Branch of the FSRC “Crystallography and Photonics” RAS, Samara, Russia

Abstract: City vulnerability is an assessment of priorities for implementation in a city. Thus, it is imperative to determine vulnerable regions in the city to identify priority areas that may require immediate intervention. Several methods used for national, international and local level vulnerability assessment are based on remote sensing and GIS technology. This paper aims to determine the vulnerability of Hyderabad city using a geospatial based vulnerability index for sustainable development of the city. We use an urbanization and vulnerability concept for the development of city policy measures. We assessed the city vulnerability using a conceptual diagram composed of exposure, sensitivity and adaptive capacity. For Exposure, we considered the elevation (contour), watershed, waterway, roads, railways and airport thematic layers. For Sensitivity, the built-up area, industry, manages (?) system such as farmland and land use/cover map from GIS data were used. To examine the adaptive capacity, we addressed the natural vegetation layer, economic points and infrastructure. Results show that the center and northern part of the city are highly and extremely vulnerable due to industry and high socio-economic activities when compared with the southern part of the city. We divided the whole city into 5 types of vulnerability: Resilient 2.24 %, at risk 13.20 %, vulnerable 46.15 %, highly vulnerable 7.26 % and extremely vulnerable 31.15 % , in terms of the city area percentage. The vegetation area (50.51 %) has the maximum vulnerable area and the vulnerable class covers the maximum area (46.15 %) of the city. All this information is very indispensable and can be used to address management issues, such as resource prioritization and optimization.

Keywords: city vulnerability, landsat data, remote sensing, GIS.

Funding Agency Grant Number
Russian Science Foundation 14-31-00014
This work is financially supported by the Russian Science Foundation (RSF), grant no. 14-31-00014 “Establishment of a Laboratory of Advanced Technology for Earth Remote Sensing”.


DOI: https://doi.org/10.18287/2412-6179-2016-40-5-752-758

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Received: 19.02.2016
Accepted:21.10.2016
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Citation: M. Boori, K. Choudhary, A. V. Kupriyanov, “Vulnerability analysis on Hyderabad city, India”, Computer Optics, 40:5 (2016), 752–758

Citation in format AMSBIB
\Bibitem{BooChoKup16}
\by M.~Boori, K.~Choudhary, A.~V.~Kupriyanov
\paper Vulnerability analysis on Hyderabad city, India
\jour Computer Optics
\yr 2016
\vol 40
\issue 5
\pages 752--758
\mathnet{http://mi.mathnet.ru/co297}
\crossref{https://doi.org/10.18287/2412-6179-2016-40-5-752-758}


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