Assessment of flood susceptibility using AHP and remote sensing-derived products, a case study in Punjab, Pakistan
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F25%3A73634158" target="_blank" >RIV/61989592:15310/25:73634158 - isvavai.cz</a>
Result on the web
<a href="https://eplus.uni-salzburg.at/agit/download/pdf/12103766" target="_blank" >https://eplus.uni-salzburg.at/agit/download/pdf/12103766</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.25598/agit/2025-6" target="_blank" >10.25598/agit/2025-6</a>
Alternative languages
Result language
angličtina
Original language name
Assessment of flood susceptibility using AHP and remote sensing-derived products, a case study in Punjab, Pakistan
Original language description
Flood susceptibility mapping is a valuable approach for disaster risk management, especially in flood-risk regions such as Punjab, Pakistan. This study applies a multi-criteria decision analysis, using the Analytical Hierarchy Process (AHP) and remote sensing-derived products in a Geographic Information Systems (GIS) environment to assess flood susceptibility across the region. We selected seven flood indicators based on a literature review and weighed them by consulting expert knowledge. Two flood susceptibility maps were calculated, (1), a 30 m resolution raster, and (2), an aggregated map of administrative boundaries. The model was validated with historical flood events, derived via Sentinel-1 Synthetic Aperture Radar (SAR), to assess the model’s reliability. The findings revealed that 43.23% of the study area is at high and very-high flood susceptibility, especially low-lying areas characterized by proximity to riverbanks and flat slopes covered with cropland. The results can support policymakers and disaster management authorities in enhancing flood mitigation.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
gis.Science - Die Zeitschrift fur Geoinformatik
ISSN
1869-9391
e-ISSN
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Volume of the periodical
38
Issue of the periodical within the volume
4
Country of publishing house
DE - GERMANY
Number of pages
7
Pages from-to
36-42
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105025360208