MULTIPARAMETER LAND SUBSIDENCE VULNERABILITY ASSESSMENT THROUGH SATELLITE IMAGERY, GIS, AND SPATIAL DATA INTEGRATION

Abstract

Land subsidence is a substantial issue today, particularly in some regions where it has the ability to interrupt future devel-opment, halt the process, and even modify the development plan. This study generally focuses on updating current knowledge on land  subsidence  and  performing  risk  assessments  using  a  case  study  in  Semarang  City,  Central  Java,  where  land  subsidence  is  aserious problem. Several satellite imageries, such as Sentinel-1 and Sentinel-2, are used as databases in this work, with various target analysis and Geographic Information Systems (GIS) methods used to handle and alter the data. Sentinel-1’s radar data, along with the displacement analysis approach of Differential Interferometry Synthetic Aperture Radar (DInSAR), is primarily used to provide a snapshot of the present state of land subsidence under this area in 2022. The result demonstrates the variation of verticaldisplace-ment values ranging from -7.7 to 6.65 cm with subsidence spread primarily on the northern region, using two datasets with 60-day intervals between January and March. Using a combination of the Normalize Difference Vegetation Index (NDVI) and the Normalize Difference Built-in Index (NDBI) to create Built-up Index (BU) data, the Sentinel-2 data with optical-based images was then used to map the human-made feature and expansions, notably buildings. Each piece of information considered multiparameter was after-ward overlapped to build a vulnerability map while also considering the geological dataset and validated by ground verification. This finding will be presented  to the section of the city that can help  support its future growth  in  terms of its vulnerability to dangers caused by land subsidence.

Keywords: GeographicInformation System, Land Subsidence, Remote Sensing, Semarang City, Vulnerability Assessment