Pemanfaatan EZ-InSAR Dalam Pemantauan Penurunan Muka Tanah Menggunakan Citra Sentinel-1 Tahun 2023–2024 (Studi Kasus: Kota Surabaya)

Ahlisyah, Siti Musyafa`atul Nur (2025) Pemanfaatan EZ-InSAR Dalam Pemantauan Penurunan Muka Tanah Menggunakan Citra Sentinel-1 Tahun 2023–2024 (Studi Kasus: Kota Surabaya). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penurunan muka tanah merupakan fenomena krusial yang melanda kota-kota besar, termasuk Surabaya, didorong oleh eksploitasi air tanah berlebihan dan karakteristik geologis endapan aluvial muda. Penelitian ini bertujuan untuk memantau deformasi vertikal di Kota Surabaya menggunakan citra Sentinel-1A tahun 2023–2024. Metode Permanent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) diterapkan, dengan pengolahan data difasilitasi oleh toolbox EZ-InSAR, yang mengintegrasikan ISCE, StaMPS, dan MintPy untuk menyederhanakan alur kerja secara berurutan mulai dari interferometri hingga analisis time series secara otomatis. Validasi hasil dilakukan dengan data Global Positioning System (GPS) geodetik, diikuti analisis statistik korelasi dan uji-t. Hasil penelitian menunjukkan keberhasilan pemrosesan data citra Sentinel-1A menggunakan EZ-InSAR, yang mampu menghasilkan data deformasi akurat dengan cakupan spasial luas. Pola deformasi vertikal teridentifikasi dengan rentang antara -35,391 mm/tahun penurunan maksimum di Kec. Gunung Anyar hingga 19,420 mm/tahun kenaikan maksimum di Kec. Karangpilang. Analisis komparasi antara hasil PS-InSAR dan data GPS menunjukkan konsistensi tren deformasi, dibuktikan dengan nilai p-value 0,057 yang mengindikasikan tidak ada perbedaan signifikan secara statistik. Meskipun koefisien determinasi R² rendah (0,0036) karena perbedaan temporal data, hasil spasial yang relevan dapat dijadikan referensi untuk mitigasi risiko penurunan muka tanah di kawasan urban.
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Land subsidence is a crucial phenomenon affecting major cities, including Surabaya, driven by excessive groundwater extraction and the geological characteristics of young alluvial deposits. This research aims to monitor vertical deformation in Surabaya City using Sentinel-1A imagery from 2023–2024. The Permanent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) method was applied, with data processing facilitated by the EZ-InSAR toolbox, which integrates ISCE, StaMPS, and MintPy to streamline the sequential workflow from interferometry to automated time series analysis. Validation of the results was performed using geodetic Global Positioning System (GPS) data, followed by correlation and t-test statistical analyses. The study successfully processed Sentinel-1A imagery using EZ-InSAR, yielding accurate deformation data with broad spatial coverage. Vertical deformation patterns were identified, ranging from -35.391 mm/year maximum subsidence in Gunung Anyar District to 19.420 mm/year maximum uplift in Karangpilang District. Comparative analysis between PS-InSAR and GPS data showed consistent deformation trends, evidenced by a p-value of 0.057, indicating no statistically significant difference. Although the coefficient of determination R² was low (0.0036) due to temporal differences between the datasets, the relevant spatial results can serve as a reference for mitigating land subsidence risks in urban areas.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Penurunan Muka Tanah, EZ-InSAR, PS-InSAR, Sentinel-1, GPS, Surabaya, Land Subsidence, EZ-InSAR, PS-InSAR, Sentinel-1, GPS, Surabaya
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G109.5 Global Positioning System G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems. G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis
Depositing User:	Siti Musyafa'atul Nur Ahlisyah
Date Deposited:	24 Jul 2025 07:04
Last Modified:	24 Jul 2025 07:04
URI:	http://repository.its.ac.id/id/eprint/121105

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