ENHANCING COASTAL SPATIAL PLANNING ANALYSIS THROUGH SAR SENTINEL-1 AND GIS-BASED FLOOD HAZARDS MODEL

This research aims to provide an implementation of GIS and remote sensing data using SAR Sentinel-1 data to monitor the implementation of spatial policy, especially those related to environmental planning in mitigation zones. This research takes the location in the urban coastal area of Pekalongan, Central Java, Indonesia, which has had high flood events over the last three years. The assessment tools use GIS modeling combined with data extraction from Google Earth Engine, which has accelerated capabilities in obtaining and analyzing flood data using Sentinel-1 SAR remote sensing data. The evaluation results show that GEE can model flood-affected areas with a validation level of 87%. In detail, the evaluation also shows that nine zones are allocated as settlement areas but 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.