Assessment of flood susceptibility using AHP and remote sensing-derived products, a case study in Punjab, Pakistan

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Assessment of flood susceptibility using AHP and remote sensing-derived products, a case study in Punjab, Pakistan

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Assessment of flood susceptibility using AHP and remote sensing-derived products, a case study in Punjab, Pakistan

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10511 - Environmental sciences (social aspects to be 5.7)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

gis.Science - Die Zeitschrift fur Geoinformatik

ISSN

1869-9391

e-ISSN

—

Svazek periodika

38

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

7

Strana od-do

36-42

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-105025360208