Utilization of Sentinel-1 satellite imagery data to support land subsidence analysis in DKI Jakarta, Indonesia

Abstract

Land subsidence had been a significant problem in DKI Jakarta and Semarang, with at least 20 kilometres of roads affected. Repairing them will require at least US $ 1 million per kilometre. Land subsidence monitoring has been carried out using terrestrial methods (GPS and levelling), which are believed to have a high degree of accuracy. The high accuracy of the terrestrial method results in a lack of precision over a large area. On the other hand, remote sensing technology as a non-terrestrial method has developed to monitor land subsidence which can produce high precision over a large area. This study aimed to test the Sentinel-1 satellite data using the Differential Interferometric Synthetic Aperture Radar (DInSAR) method in monitoring land subsidence in DKI Jakarta. DInSAR is a method in Remote Sensing that utilizes radar sensors to analyze the phase differences of a SAR data pair that have different times of capture and have been catalogued to obtain displacement along the area of collection. The results showed that the North Jakarta area experienced the highest land subsidence in the entire Jakarta area. The annual average rate from 2017-2019 is 3.4 cm. The value of 3.4 cm is the average value of all samples in the North Jakarta area. The second area where high land subsidence is West Jakarta, where the maximum amount value of subsidence is 2.8 cm. The accuracy-test results with the MONAS test point showed that the difference between field data and DInSAR results was ± 6.5 cm. The results of this research indicate that the DInSAR method is quite capable of describing land subsidence in the DKI Jakarta area with a relatively good level of precision.

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

“…Furthermore, in addition to direct field measurement methods, several previous studies, including one that employed the DInSAR (Differential Interferometric Synthetic Aperture Radar) method, have used DInSAR data to measure subsidence in Jakarta. For example, one study used DInSAR data to assess the subsidence rate in the north coast 5 , while another study used DInSAR data to investigate groundwater extraction-induced subsidence 6 .…”

Land Subsidence Dynamics in Malaysia Based on Time-Series Vertical Deformation Using Modified D-Insar Sentinel-1

“…Land subsidence is most commonly caused by active tectonic movement but can also be due to anthropogenic activities (Julzarika et al, 2021). Excessive groundwater extraction, tunnelling, excessive infrastructural development, and mining activities that may disrupt aquifers are the example of anthropogenic activities (Ardha et al, 2021;Julzarika et al, 2022;Muhammad et al, 2021).…”

“…These factors have resulted in an increase in groundwater consumption from 1990 to 2010 (Suratman, 2012). Rates of land subsidence in Malaysia are still relatively low, especially when compared to regions such as the northern Java, California, and the northern Africa (Ardha et al, 2021;Mohamed & Gonçalvès, 2021;Stampoulis et al, 2019). This phenomenon is still concerning to local governments and residents, and the steps should be taken to ensure that future incidents do not occur.…”

Watershed Flood Vulnerability Assessment Based Land Subsidence Analysed from a Long Time Period of Sentinel-1 Radar Data

“…Using Sentinel Radar data has been proven to produce land subsidence data accurately [9]. This image data has a 10-meter spatial resolution to generate the information in a detailed map.…”

“…This image data has a 10-meter spatial resolution to generate the information in a detailed map. Land subsidence research that has been done previously has only been carried out over a short period [6], [9]- [11]. Most of them are only various for a few months or a few years.…”