Volume 17, Issue 2, 2025
Authors: Anang W. Sejati, Amar Siddiq, Imam Buchori, Josaphat T.S. Sumantyo, Syachril W. Mispaki, Savira N.A.K. Putri, Dewa A.J.P. Wedaswarie, Yayan Sugiyantoro
Enhancing Coastal Spatial Planning Analysis Through SAR Sentinel-1 and GIS-based Flood Hazards Model
This research implements GIS and SAR Sentinel-1 remote sensing data to monitor the implementation of spatial policy, especially those related to environmental planning in mitigation zones. The study focuses on the urban coastal area of Pekalongan, Central Java, Indonesia, characterized by high flood events over the last three years. The assessment tools used GIS modelling combined with data extraction from Google Earth Engine, which has accelerated capabilities in obtaining and analysing flood data using Sentinel-1 SAR remote sensing data. The evaluation results showed that GEE can model flood-affected areas with a validation level of 87%. In detail, the evaluation also showed that nine zones were allocated as settlement areas, but they are located in disaster hazard zones with a flood hazard index of 1 (high), so environmental planning policies need to be strengthened in controlling residential growth in flood disaster-prone areas.
https://doi.org/10.37043/JURA.2025.17.2.5
Full text