Flood inundation prediction model related to land subsidence with Lidar in North Coastal Jakarta

Abstract

The subsidence of the land surface in the northern coast of Java has become a national and international concern, indicating that Jakarta may sink in the coming years. Remote sensing, particularly with SAR data, is widely used to monitor deformation and land subsidence. Several studies show a trend of land subsidence in Jakarta in recent years. This research processes Sentinel-1 data to obtain information related to the subsidence rate using InSAR methods, which result in the rate of land surface lowering. Then, Lidar data is utilized to predict inundation models for recent years to assess the potential flood-prone areas. Subsequently, LULC analysis is conducted to examine land use that may experience flooding in the future. The research findings indicate that the total flooded Area in 2031 is 1393.6 ha, with the most significant flooded Area located in North Jakarta. Regarding future LULC potential, Jakarta dominates, comprising the most extensive land use coverage in the Urban Area with 85% of the total LULC. The total LULC expected to be flooded in the urban Area is approximately 1,197.79 ha.