Mapping local level climate vulnerability
peer-reviewed
Erstveröffentlichung
2022-06Authors
Mukhopadhyay, Bappaditya
Danda, Anurag A.
Wissenschaftlicher Artikel
Published in
Journal of Infrastructure Development ; 14 (2022), 1. - S. 7-23. - ISSN 0974-9306. - eISSN 0975-5969
Link to original publication
https://dx.doi.org/10.1177/09749306221096956Faculties
Fakultät für Mathematik und WirtschaftswissenschaftenInstitutions
Institut für FinanzwirtschaftDocument version
published version (publisher's PDF)Abstract
The Sundarbans poses a unique challenge to policy makers. With rising sea level, large part of the area will be inundated and hence a climate adaption strategy needs to be in place. While there is a significant discussion regarding medium- and long-term strategies, preventing or mitigating such local level disasters need micro level data with minimum lag. In this article, we show how using satellite imagery can achieve both. With real-time data availability, one can map various villages, monitor their economic activities (primarily agriculture) and create a vulnerability mapping. While this article only highlights an extremely localised shock, such vulnerability mapping for the entire area will be an extremely useful tool for policy makers. We use Landsat images 2007–18 and perform clustering to map local area vulnerability in Mousuni island Sundarbans.
Subject headings
[GND]: Wirtschaftsentwicklung | Klimaänderung | Satellitenbild[LCSH]: Economic policy | Climate change | Remote-sensing images
[Free subject headings]: Economic development | clustering | satellite image | climate adaptation
[DDC subject group]: DDC 330 / Economics
Metadata
Show full item recordDOI & citation
Please use this identifier to cite or link to this item: http://dx.doi.org/10.18725/OPARU-50330
Mukhopadhyay, Bappaditya; Danda, Anurag A. (2023): Mapping local level climate vulnerability. Open Access Repositorium der Universität Ulm und Technischen Hochschule Ulm. http://dx.doi.org/10.18725/OPARU-50330
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