Flood Susceptibility Map Data of Jeju Island Using Probabilistic Methods

Floods are among the most widespread and destructive natural disasters globally, and Jeju Island in South Korea is particularly vulnerable due to its unique geological and hydrological characteristics. This study aims to produce a flood susceptibility map data for Jeju Island using a probabilistic m...

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Main Author: Saro Lee
Format: Article
Language:English
Published: GeoAI Data Society 2025-06-01
Series:Geo Data
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Online Access:http://geodata.kr/upload/pdf/GD-2025-0012.pdf
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author Saro Lee
author_facet Saro Lee
author_sort Saro Lee
collection DOAJ
description Floods are among the most widespread and destructive natural disasters globally, and Jeju Island in South Korea is particularly vulnerable due to its unique geological and hydrological characteristics. This study aims to produce a flood susceptibility map data for Jeju Island using a probabilistic method known as the frequency ratio (FR) model. The research integrates diverse spatial datasets including topography, geology, soil properties, land use, vegetation, and rainfall to analyze their correlation with historical flood occurrences. A flood inventory was constructed from multiple sources such as satellite images and disaster records. These data were used to train and validate the FR model. The model’s predictive performance was evaluated using the receiver operating characteristic-area under curve (ROC-AUC), achieving an accuracy 82.33%, indicating high accuracy. The resulting map data offers valuable insights for disaster mitigation, urban planning, and climate adaptation, especially in geologically complex regions like Jeju Island.
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spelling doaj-art-af29e3d5227744d494a32ff7635251922025-08-20T03:58:18ZengGeoAI Data SocietyGeo Data2713-50042025-06-01729110110.22761/GD.2025.0012188Flood Susceptibility Map Data of Jeju Island Using Probabilistic MethodsSaro Lee0 Principal Researcher, Geoscience Data Center, Korea Institute of Geoscience and Mineral Resources, 124 Gwahak-ro, Yuseong-gu, Daejeon 34132, South KoreaFloods are among the most widespread and destructive natural disasters globally, and Jeju Island in South Korea is particularly vulnerable due to its unique geological and hydrological characteristics. This study aims to produce a flood susceptibility map data for Jeju Island using a probabilistic method known as the frequency ratio (FR) model. The research integrates diverse spatial datasets including topography, geology, soil properties, land use, vegetation, and rainfall to analyze their correlation with historical flood occurrences. A flood inventory was constructed from multiple sources such as satellite images and disaster records. These data were used to train and validate the FR model. The model’s predictive performance was evaluated using the receiver operating characteristic-area under curve (ROC-AUC), achieving an accuracy 82.33%, indicating high accuracy. The resulting map data offers valuable insights for disaster mitigation, urban planning, and climate adaptation, especially in geologically complex regions like Jeju Island.http://geodata.kr/upload/pdf/GD-2025-0012.pdfflood susceptibility map datajeju islandfrequency ratiogis
spellingShingle Saro Lee
Flood Susceptibility Map Data of Jeju Island Using Probabilistic Methods
Geo Data
flood susceptibility map data
jeju island
frequency ratio
gis
title Flood Susceptibility Map Data of Jeju Island Using Probabilistic Methods
title_full Flood Susceptibility Map Data of Jeju Island Using Probabilistic Methods
title_fullStr Flood Susceptibility Map Data of Jeju Island Using Probabilistic Methods
title_full_unstemmed Flood Susceptibility Map Data of Jeju Island Using Probabilistic Methods
title_short Flood Susceptibility Map Data of Jeju Island Using Probabilistic Methods
title_sort flood susceptibility map data of jeju island using probabilistic methods
topic flood susceptibility map data
jeju island
frequency ratio
gis
url http://geodata.kr/upload/pdf/GD-2025-0012.pdf
work_keys_str_mv AT sarolee floodsusceptibilitymapdataofjejuislandusingprobabilisticmethods