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All Journal Jurnal Ilmu dan Teknologi Kelautan Tropis IJOG : Indonesian Journal on Geoscience Journal of Degraded and Mining Lands Management
Suhadha, Argo Galih
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Decision Sciences, Operations Research & Management Earth & Planetary Sciences Library & Information Science

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Assessing land subsidence from anthropogenic activity in Northern Sumatra, Indonesia revealed using SAR interferometry Perdana, Redho Surya; Anggara, Ongky; Suhadha, Argo Galih; Pangestika, Dita Mulia; Atmojo, Aulia Try; Al Attar, Muhammad Nabil; Sonya, Putri; Alif, Satrio Muhammad
Journal of Degraded and Mining Lands Management Vol. 12 No. 2 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.122.7235

Abstract

Land subsidence is a significant issue in urban areas globally, including several cities with a growing population in Northern Sumatra, Indonesia. This study employs Sentinel-1 SAR data and the Small Baseline Subset (SBAS) InSAR technique to monitor land subsidence in Medan, Deli Serdang, Dumai, North Aceh, and Lhokseumawe from 2015 to 2023. The SBAS algorithm was implemented in LiCSBAS with an unwrapped interferogram. Then corrected for atmospheric effects using GACOS, was employed to increase the results of the land subsidence. The analysis was enhanced using GRACE satellite data to assess the impact of groundwater depletion on subsidence. Results indicate significant subsidence across all study regions, particularly in Medan and Dumai, with rates ranging from -48.6 mm/year to +54.1 mm/year. The findings highlight the critical role of rapid urbanization, excessive groundwater extraction, and oil and gas exploration in driving subsidence. This study underscores the need for sustainable urban planning and aquifer management to mitigate future environmental and infrastructural risks.
Uneven Land Subsidence Patterns Along Java's Northern Urban Corridor (Pantura Route) from 2.5D SBAS InSAR Approach Janur, Afif; Harintaka, Harintaka; Suhadha, Argo Galih
Indonesian Journal on Geoscience Vol. 12 No. 2 (2025)
Publisher : Geological Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17014/ijog.12.2.281-300

Abstract

Land subsidence is a phenomenon that occurs in many parts of the world, particularly in coastal plains and river delta areas, including the north coast of Java, commonly known as ‘pantura’. By utilizing satellite time series data, land subsidence along the north coast of Java was detected using The Small Baseline Subset (SBAS) method. Additionally, combining data from different Sentinel-1 orbit directions (ascending-descending) enables the production of a more accurate 2.5D model. This research aims to calculate the rate of land subsidence on the north coast of Java from 2020 to 2023 using the 2.5D model, and to compare the results with CORS processing results. Recent identification of land subsidence highlights that residential areas and rice fields are highly vulnerable to potential subsidence. The 2.5D model in the up-down (UD) direction shows the highest land subsidence occurred in Demak Regency at 146.45 mm/year, Semarang City at 144.34 mm/year, and Pekalongan Regency at 137.94 mm/year. An accuracy assessment was performed using twelve CORS stations, showing RMSE values ranging from millimeters to centimeters: vertical ascending at 16.5 mm, vertical descending at 18.6 mm, UD at 8.8 mm, and East ̶ West (EW) at 26.3 mm.
ESTIMASI DAERAH POTENSI PENANGKAPAN IKAN BERDASARKAN PENDEKATAN KESESUAIAN AREA THERMAL FRONT DAN AREA MESOTROPIK Suhadha, Argo Galih; Asriningrum, Wikanti
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 12 No. 2 (2020): Jurnal Ilmu dan Teknologi Kelautan Tropis
Publisher : Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitkt.v12i2.28305

Abstract

Zona potensi penangkapan ikan (ZPPI) telah mengalami banyak pengembangan salah satunya adalah pemilihan kesesuaian parameter. Thermal front telah menjadi parameter utama dalam input informasi ZPPI LAPAN. Akurasi informasi thermal front yang digunakan sebagai input ZPPI tidak dapat diketahui dengan pasti signifikansinya karena faktor jarak informasi titik ZPPI terhadap lokasi tangkapan sehingga diperlukan pengembangan parameter untuk mendukung informasi thermal front tersebut. Thermal front merupakan daerah pertemuan dua massa air yang memiliki karakteristik suhu yang berbeda dan mengindikasikan kemunculan upwelling. Penelitian ini bertujuan untuk menentukan daerah potensi penangkapan ikan dengan pendekatan kesesuaian area thermal front dengan area mesotropik (konsentrasi klorofil-a 0,2-0,5 mg/m3). Data klorofil-a untuk deteksi area mesotropik dan suhu permukaan laut untuk thermal front berasal dari satelit Aqua MODIS di Google Earth Engine (GEE). Metode kesesuaian thermal front terhadap area mesotropik digunakan dalam analisis daerah potensi penangkapan ikan. Hasil penelitian menunjukkan bahwa thermal front dan area mesotropik di WPPNRI 715 memiliki variasi terhadap musim, dengan bulan Desember sebagai puncak kejadian. Kedua parameter tersebut terdistribusi secara merata mulai dari area pesisir hingga laut lepas. Dari metode ini didapatkan thermal front yang memiliki kesesuaian area (bertampalan) terhadap area mesotropik sebesar 60,3%. Selain itu kelas ZPPI dengan tingkat kepercayaan tinggi memiliki jumlah lebih dari 50% ZPPI moderate, dimana jumlah tersebut sesuai ambang batas yang dapat diterima. Sehingga peningkatan akurasi lokasi ZPPI baik di pesisir maupun laut lepas dapat ditentukan melalui pendekatan ini.
Utilization of Sentinel-1 satellite imagery data to support land subsidence analysis in DKI Jakarta, Indonesia Ardha, Mohammad; Suhadha, Argo Galih; Julzarika, Atriyon; Yulianto, Fajar; Yudhatama, Dipo; Darwista, Rofifatuz Zulfa
Journal of Degraded and Mining Lands Management Vol. 8 No. 2 (2021)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2021.082.2587

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.
Co-Authors Al Attar, Muhammad Nabil Ardha, Mohammad Atmojo, Aulia Try Atriyon Julzarika Darwista, Rofifatuz Zulfa Dipo Yudhatama, Dipo Fajar Yulianto Harintaka Harintaka Janur, Afif Pangestika, Dita Mulia Perdana, Redho Surya Satrio Muhammad Alif Sonya, Putri Wikanti Asriningrum, Wikanti