Land subsidence analysis using DInSAR and GNSS survey in Medan-Belawan City, North Sumatera, Indonesia

Rapid land subsidence is a major threat to coastal megacities in Indonesia. However, spatially detailed information on subsidence rates remains limited in Indonesia, particularly for Medan-Belawan. This study aimed to quantify land subsidence rates in Medan-Belawan and assess the consistency between ground-based and satellite-based measurements. Land subsidence was measured using Global Navigation Satellite System (GNSS) observations at 10 benchmark (BM) points and Differential Interferometric Synthetic Aperture Radar (DInSAR) analysis using Sentinel-1A imagery. Both methods consistently indicated substantial subsidence across the city. GNSS-derived subsidence rates ranged from -0.84 to -8.76 cm/year, while DInSAR-derived rates ranged from -6.18 to -13.56 cm/year. The overall mean subsidence rate was -6.41 cm/year, with an RMSE of 6.57 cm between the two approaches. The highest subsidence rates were concentrated in districts with very high population densities. Medan-Belawan is experiencing significant land subsidence, and GNSS and Sentinel-1A DInSAR provide broadly consistent estimates. The spatial concentration of high subsidence in densely populated districts highlights the need for targeted monitoring and mitigation strategies.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-02-11
DOI
https://doi.org/10.1051/bioconf/202622005009/pdf
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Land subsidence analysis using DInSAR and GNSS survey in Medan-Belawan City, North Sumatera, Indonesia

Josaphat Tetuko Sri Sumantyo, Risti Endriani Arhatin, Jonson Lumban-Gaol, Efendy Tambunan et al.
Springer Link (Chiba Institute of Technology)
Synthetic Aperture Radar (SAR) Applications and Techniques
article

Land subsidence analysis using DInSAR and GNSS survey in Medan-Belawan City, North Sumatera, Indonesia

Josaphat Tetuko Sri Sumantyo, Risti Endriani Arhatin, Jonson Lumban-Gaol, Efendy Tambunan, Ahmad Perwira Mulia Tarigan, Dhoni Zakaria Randani, Haikal Zidan Alvarizi, Ivonne Milichristi Radjawane, I Wayan Nurjaya
article en

Abstract

Rapid land subsidence is a major threat to coastal megacities in Indonesia. However, spatially detailed information on subsidence rates remains limited in Indonesia, particularly for Medan-Belawan. This study aimed to quantify land subsidence rates in Medan-Belawan and assess the consistency between ground-based and satellite-based measurements. Land subsidence was measured using Global Navigation Satellite System (GNSS) observations at 10 benchmark (BM) points and Differential Interferometric Synthetic Aperture Radar (DInSAR) analysis using Sentinel-1A imagery. Both methods consistently indicated substantial subsidence across the city. GNSS-derived subsidence rates ranged from -0.84 to -8.76 cm/year, while DInSAR-derived rates ranged from -6.18 to -13.56 cm/year. The overall mean subsidence rate was -6.41 cm/year, with an RMSE of 6.57 cm between the two approaches. The highest subsidence rates were concentrated in districts with very high population densities. Medan-Belawan is experiencing significant land subsidence, and GNSS and Sentinel-1A DInSAR provide broadly consistent estimates. The spatial concentration of high subsidence in densely populated districts highlights the need for targeted monitoring and mitigation strategies.

Springer Link (Chiba Institute of Technology)
European Space Agency, Chiba University
Openalex Percentile: Top 59%
Synthetic Aperture Radar (SAR) Applications and Techniques
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Land subsidence analysis using DInSAR and GNSS survey in Medan-Belawan City, North Sumatera, Indonesia — Josaphat Tetuko Sri Sumantyo, Risti Endriani Arhatin, et al. · Springer Link (Chiba Institute of Technology) (2026) | TGRS Research Map | TGRS