The evaluation of Spatial Planning for Flood Disasters using Sentinel-1 Satellite Imagery (Case Study: Central Java Province)

Abstract Flood disasters are an aspect of spatial planning. The current flood data is in the form of tabular data and point locations. Meanwhile, spatial data in the form of maps of inundation or flood areas is not widely available. Utilization of Sentinel-1 imagery can be used for flood mapping. The analysis results from previous research show that flood data from Sentinel-1 image processing can depict flood inundation areas in a region. This research aims to evaluate spatial planning in Central Java Province against flood disasters. The location of this research is focused on the north coast of Central Java province (PANTURA). The method used to map floods using Sentinel-1 imagery is the Change Detection and Thresholding (CDAT) method. The method for evaluating spatial planning with flood disasters is the map overlay method. The results of this study show that all districts in PANTURA experienced flood disasters in 2017 and 2024. Pati Regency is the district with the highest flood inundation area. Demak Regency is the district with the fastest increase in flood area. The Land Use Plan in the Central Java Provincial RTRW that experienced the most extensive inundation is the fisheries cultivation area. The area with the highest vulnerability is the agricultural area, namely flood inundation increased by 800 hectares over 6 years. Based on the analysis results, it is recommended that the Central Java Provincial RTRW be revised to include areas that are vulnerable to flood inundation.

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Publication Details

Journal
IOP Conference Series Earth and Environmental Science
Published
2024-12-01
DOI
https://doi.org/10.1088/1755-1315/1418/1/012050
Citations
1
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.95

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article

The evaluation of Spatial Planning for Flood Disasters using Sentinel-1 Satellite Imagery (Case Study: Central Java Province)

Pangi Pangi, Lilin Budiati, Dety Sukmawati, Izzatur Lan Bagja
1 citations
IOP Conference Series Earth and Environmental Science
Flood Risk Assessment and Management
0.95
article

The evaluation of Spatial Planning for Flood Disasters using Sentinel-1 Satellite Imagery (Case Study: Central Java Province)

Pangi Pangi, Lilin Budiati, Dety Sukmawati, Izzatur Lan Bagja
article en
1 citations

Abstract

Abstract Flood disasters are an aspect of spatial planning. The current flood data is in the form of tabular data and point locations. Meanwhile, spatial data in the form of maps of inundation or flood areas is not widely available. Utilization of Sentinel-1 imagery can be used for flood mapping. The analysis results from previous research show that flood data from Sentinel-1 image processing can depict flood inundation areas in a region. This research aims to evaluate spatial planning in Central Java Province against flood disasters. The location of this research is focused on the north coast of Central Java province (PANTURA). The method used to map floods using Sentinel-1 imagery is the Change Detection and Thresholding (CDAT) method. The method for evaluating spatial planning with flood disasters is the map overlay method. The results of this study show that all districts in PANTURA experienced flood disasters in 2017 and 2024. Pati Regency is the district with the highest flood inundation area. Demak Regency is the district with the fastest increase in flood area. The Land Use Plan in the Central Java Provincial RTRW that experienced the most extensive inundation is the fisheries cultivation area. The area with the highest vulnerability is the agricultural area, namely flood inundation increased by 800 hectares over 6 years. Based on the analysis results, it is recommended that the Central Java Provincial RTRW be revised to include areas that are vulnerable to flood inundation.

IOP Conference Series Earth and Environmental ScienceVol. 1418(1)
Diponegoro University (ID), Sumatera Institute of Technology (ID)
Universitas Diponegoro
Openalex Percentile: Top 24%
Flood Risk Assessment and Management
0.95
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