Time Series Land Subsidence Analysis Based on Persistent Scattered Interferometric Synthetic Aperture Radar Method of Jakarta City Region Using Terra SAR X Spaceborne Data

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Joko Widodo, Rahmat Arief, Galih Prasetya Dinanta, Nugraheni Setyaningrum, Andie Setiyoko, Ahmad Pratama Putra, Aulia Oktaviani, Wisyanto, Eko Widi Santoso, Nur Hidayat, Awaluddin, Farohaji Kurniawan, Mulyo Harris Pradono, Pakhrur Razi, Yuta Izumi, Josaphat Tetuko Sri Sumantyo

2022 Proceeding - 2022 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications: Emerging Science and Industrial Innovation in Electronics and Telecommunication, ICRAMET 2022 Conference paper Cited by 3 Quartile

Abstract

Scientists have widely used remote sensing technology to observe surface phenomena, either happened by naturally or artificially. Land subsidence monitoring is one of the promising discoveries made by implementing remote sensing technology, particularly with radar images. The gap in radar image processing technology has been attempted to solve in this study with a real case study in Jakarta, Indonesia. The challenge of simplifying the complex processing step that involved different correction due to time acquisition in radar images have been explained in this study. Aside from that, many researchers believe excessive groundwater extraction and over-exploitation of groundwater can be caused land subsidence, though other factors like land deformation and geological change can accelerate the possibilities. Prior studies have illustrated the subsidence level and methodology to investigate how subsurface change can be indicated by radar image scattering. According to that, this study focused on subsidence escalation in Jakarta. Although other areas can have similar issues, further study will be required. In this study, the Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) method has been used in Terra SAR-X multitemporal data; the process strives to search for the indication of land subsidence in the study area. The benefit of this PS-InSAR is its capability to extract point clouds at a particular temporal coherence setting from the SAR image, representing a current surface level. The data has been collected and processed from 29 scenes from 2017 to 2021, thus showing the changes over the last four years. Analysis during that period found that land subsidence existed at a high rate, compared with 2017 data, perceived that in 2021 subsidence level was cumulatively around 9.85 cm in the Pantai Indah Kapuk, North Jakarta area, and 5.63 cm in the Kembangan area of West Jakarta. A ground check is needed to ensure this strongly connects with geological factors. Still, PS-InSAR can be a beneficial tool for the surface modelling in a broad area and rapid mapping for geoscience analysis. © 2022 IEEE.

Affiliations

Research Center for Remote Sensing, National Research and Innovation Agency (BRIN), Jakarta, Indonesia; Research Center for Geological Disaster, National Research and Innovation Agency (BRIN), Jakarta, Indonesia; Research Center for Environmental and Clean Technology, National Research and Innovation Agency (BRIN), Jakarta, Indonesia; Research Center for Climate and Atmosphere, National Research and Innovation Agency (BRIN), Jakarta, Indonesia; Research Center for Aeronautics Technology, National Research and Innovation Agency (BRIN), Jakarta, Indonesia; Research Center for Structural Strength Technology, National Research and Innovation Agency (BRIN), Jakarta, Indonesia; Research Center of Disaster Monitoring and Earth Observation, Universitas Negeri Padang, Padang, Indonesia; Department of Sciences and Informatics, Muroran Institute of Technology, Hokkaido, Japan; Josaphat Microwave Remote Sensing Laboratory (JMRSL), Center for Environmental Remote Sensing (CEReS), Chiba, Japan