Monitoring Vertical Deformations of the Coastal City of Palu After Earthquake 2018 Using Parallel-SBAS

Suhadha, Argo Galih; Julzarika, Atriyon; Ardha, Mohammad; Chusnayah, Farikhotul

doi:10.1109/apsar52370.2021.9688380

Cited by 9 publications

(7 citation statements)

References 32 publications

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“…Sentinel-1 the resulting vertical deformation value has been nadir corrected or perpendicular to the nadir. The vertical deformation value (true) is close to the actual value in the field; see equation (2) (Suhadha et al, 2021).…”

Section: Atriyon Julzarika Land Subsidence Dynamics In Malaysia Based...supporting

confidence: 53%

“…This phenomenon is still concerning to local governments and residents, and the steps should be taken to ensure that future incidents do not occur. Consequently, land subsidence monitoring is key in areas that encompass fault boundaries or in large, dynamic cities (Suhadha et al, 2021). Land subsidence can impact a community's economy, disrupt regional and urban planning, and damage existing infrastructure, such as by disrupting underground utility lines, allowing for seawater intrusion, damaging the foundations of buildings, and increasing the risk of tidal flooding.…”

Section: Introductionmentioning

confidence: 99%

“…The modified D-InSAR method is a modified method of the traditional D-InSAR, P-SBAS, and PS-InSAR, which has taken into account the error propagation in the model and data used and has changed the final result of vertical deformation LOS to vertical deformation (true) (Julzarika et al, 2022;Suhadha et al, 2021). The result of vertical deformation is still in the form of LOS, so it is necessary to make nadir corrections or vertical deformation (true).…”

Section: Introductionmentioning

confidence: 99%

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

Julzarika

2023

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Land subsidence in urban areas is geohazard that can be caused by tectonic movements, changes in aquifer networks, or anthropogenic activities such as excessive groundwater extraction, mining, tunnelling, and plantations. The degree of land subsidence can be monitored using time-series vertical deformation data extracted from Sentinel-1 satellite imagery using the modified D-InSAR method. This study aims to determine the land subsidence dynamics of 16 cities in Malaysia based on time-series vertical deformation data, including Kota Bahru, Kuala Terengganu, George Town and Butterworth, Alor Setar, Kangar, Ipoh, Seremban, Malacca, Kuala Lumpur, Putra Jaya, Shah Alam, Kuantan, Johor Bahru, Kinabalu, Bandar Labuan (Victoria), and Kuching. The time-series vertical deformation data used in this study were extracted between 2014-2022. Negative values of vertical deformation indicate that land subsidence is occurring, while positive values of vertical deformation are indicative of regional uplift. The overall rate of land subsidence in Malaysia is between -0.5 cm to -6.0 cm, while the average uplift rate is between +0.5 cm to +4.5 cm. An analysis of the data extracted reveals that the city that is most vulnerable to land subsidence is Johor Bahru, followed by Kuala Terengganu, Seremban, Kuala Lumpur, Shah Alam, Malacca, and Kuantan, while the city that has the lowest risk of land subsidence is Kangar. In contrast, cities that are vulnerable to regional uplift are Kinabalu and Bandar Labuan (Victoria). The results of this study can be used to guide urban planning initiatives, allowing them to consider any threats that might be posed by land subsidence.

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Section: Atriyon Julzarika Land Subsidence Dynamics In Malaysia Based...supporting

confidence: 53%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Julzarika

2023

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“…This is an improved version of the classic SBAS technique for parallel computing settings (Casu et al 2014). Despite its success in multiple global geohazard studies, its deployment in Indonesia remains limited (Suhadha et al 2021).…”

Section: Interferometry Sarmentioning

confidence: 99%

Multidimensional displacement analysis of Semeru Volcano, Indonesia following December 2021 eruption from multitrack InSAR observation

Suhadha,

Harintaka

2024

Earth Sci Inform

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Mount Semeru, one of the world's most active volcanoes, experiencing frequent eruptions and at least one significant eruption annually. Traditional monitoring methods, constrained by the existing geodetic infrastructure, have been augmented by Interferometry Synthetic Aperture Radar (InSAR) technology. Previous InSAR applications in Indonesia have primarily relied on Line-of-Sight (LOS) displacement measurements, utilizing a single orbital geometry. This study breaks new applications by leveraging two orbital geometries of the Sentinel-1 satellite, advancing beyond conventional one-dimensional observations to generate comprehensive multidimensional displacement time series. This approach enables the precise capture of vertical, east-west, and north-south components of surface motion at Semeru volcano. Our findings underscore the critical role of multitrack InSAR data in providing a nuanced understanding of volcanic deformation. By encompassing all three displacement components, our methodology delivers a more detailed and accurate depiction of the volcano's dynamics. Although the 2.5D displacement model proves adequate in certain scenarios, the full three-dimensional analysis reveals its superiority in monitoring slow surface deformation. This study not only demonstrates the enhanced capabilities of InSAR in volcanic monitoring but also sets a precedent for its application in other highrisk volcanic and tectonic regions. Furthermore, our research emphasizes the value of integrating InSAR data with other monitoring techniques, like Global Navigation Satellite System (GNSS), for crossvalidation and accuracy enhancement. The synergy of these technologies offers a powerful tool for geoscientists, potentially enhancing our understanding of surface motion and contributing to more effective risk management in geologically active areas.

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“…Then, using the InSAR method, it was found that coseismic deformation occurred on the surface, namely: -30.2 cm (subsidence) to 5 cm (uplift) to the satellite's line of sight [4]. The PSBAS method is used to see the condition of surface deformation after an earthquake which produces the highest subsidence of -3.893 cm and the highest uplift of 3.935 cm [5]. Horizontal deformation has also been observed using InaCORS data.…”

Section: Introductionmentioning

confidence: 99%

Analysis of vertical seismic deformation of the 2018 Palu earthquake using Global Navigation Satellite System (GNSS) data

Nurdin,

Pujiastuti,

Marzuki

2023

J. Phys.: Conf. Ser.

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The vertical seismic deformation of the Palu earthquake magnitude of 7.4 on the Richter Scale, which occurred on September 28, 2018, has been analyzed using InaCORS (Indonesian Continuously Operating Reference Stations) stations. The stations used are CBAL, PALP, CTOL, CMLI, CPAL, and CBIT. The analysis was conducted using GAMIT, GLBOK, and GMT software. The analysis focused on the period of 100 days, starting from August 6, 2018 (DoY 218) to November 28, 2018 (DoY 318), encompassing the preseismic, coseismic, and post-seismic phases. During the preseismic phase (DoY 218-270), the InaCORS stations experienced a slight deformation ranging from -10.9353 mm to 6.5525 mm. Tectonic manifestations influenced the direction of movement in Sulawesi. The deformation significantly increased in the coseismic phase (DoY 271-272). The InaCORS stations experienced deformations ranging from -169.8 mm to 8.755 mm, which differed in the direction from the preseismic phase. The stations in the northern region predominantly moved towards the north, while those in the southern region moved towards the south. During the post-seismic phase (DoY 273-318), the movement of the InaCORS stations followed the direction of deformation observed in the coseismic phase. However, the displacement was relatively smaller, ranging from 11.5909 mm to 17.23733 mm.

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Monitoring Vertical Deformations of the Coastal City of Palu After Earthquake 2018 Using Parallel-SBAS

Cited by 9 publications

References 32 publications

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

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

Multidimensional displacement analysis of Semeru Volcano, Indonesia following December 2021 eruption from multitrack InSAR observation

Analysis of vertical seismic deformation of the 2018 Palu earthquake using Global Navigation Satellite System (GNSS) data

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