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Journal of Geospatial Science and Technology
Published by Universitas Gadjah Mada
ISSN : 3031576X     EISSN : -     DOI : -
Core Subject : Science, Engineering,
Earth & Planetary Sciences Engineering
Journal of Geospatial Sciences and Technology (JGST) is a national and international peer-reviewed journal published by Department of Earth Technology, Vocational College, Universitas Gadjah Mada and covers all aspects and information on scientific and technical advances in geospatial sciences and technology. Journal of Geospatial Sciences and Technology publishes high quality, peer-reviewed scientific papers, unique contributions in geospatial application ranging from the integration of instruments, methodologies and technologies and their application in the earth sciences, engineering, and other natural sciences. We expect the author who submitted in our journal to certify that the paper is original, has not been published before, and is not being considered for publication elsewhere.
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 16 Documents
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Karakterisasi Pergerakan Vertikal Permukaan Tanah di Tuban, Jawa Timur Dengan Data SAR Sentinel-1 Menggunakan Teknik Small Baseline Subset (SBAS) Interferometry SAR (InSAR) Fabiola, Amelinda; Panuntun, Hidayat
Journal of Geospatial Science and Technology Vol 2 No 2 (2024): Journal of Geospatial Science and Technology
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgst.v2i2.15055

Abstract

Pergerakan permukaan tanah adalah perubahan posisi titik-titik tertentu di permukaan tanah, yang terjadi akibat dinamika pergerakan dari dalam permukaan tanah. Fenomena ini mencakup dua aspek utama, yaitu pengangkatan permukaan tanah (land uplift) dan penurunan permukaan tanah (land subsidence). Penelitian sebelumnya oleh Susilo dkk. (2023) yang dilakukan di seluruh stasiun CORS di pesisir utara Pulau Jawa menemukan adanya anomali pergerakan vertikal di stasiun CORS Tuban (CTBN) yang menunjukkan indikasi kenaikan permukaan tanah (land uplift) dengan laju 0,4 ± 0,042 mm/tahun. Pola ini berbeda dengan pergerakan vertikal di stasiun CORS lainnya yang umumnya menunjukkan penurunan. Untuk mengetahui apakah pergeseran ini bersifat lokal di sekitar stasiun CORS CTBN atau terjadi di seluruh wilayah Tuban, perlu dilakukan penelitian lebih lanjut. Metodologi penelitian ini melibatkan penggunaan data citra Sentinel-1A dengan frame ID tertentu untuk perekaman ascending dan descending yang direkam antara Desember 2014 hingga April 2023. Proses koreksi atmosferik dilakukan menggunakan Generic Atmospheric Correction Online Service (GACOS). Pemrosesan citra dilakukan menggunakan metode Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) dengan bantuan perangkat lunak LiCSBAS. Pergerakan vertikal permukaan tanah dihitung dengan ekstraksi 2,5-D dari Line of Sight (LOS) yang dihasilkan dari dua set data citra. Hasil pengukuran divalidasi dengan data Global Navigation Satellite System (GNSS) yang diamati secara kontinu di stasiun CORS Tuban (CTBN). Hasil penelitian menunjukkan bahwa wilayah selatan dan barat Tuban mengalami uplift signifikan dengan laju rata-rata 16 mm/tahun, sementara subsidence signifikan terjadi di pesisir utara dengan laju rata-rata -8 mm/tahun. Validasi dengan data GNSS menunjukkan korelasi tinggi antara hasil pengukuran displacement dari InSAR dan data GNSS, dengan nilai korelasi sebesar 0,99.
Mapping Shoreline Changes Using Digital Shoreline Analysis System in Coastal Areas of Bantul and Kulon Progo Regencies Astuti, Windi Rahayu; Arrofiqoh, Erlyna Nour
Journal of Geospatial Science and Technology Vol 2 No 2 (2024): Journal of Geospatial Science and Technology
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgst.v2i2.16172

Abstract

Wilayah pesisir Kabupaten Bantul dan Kulon Progo, yang berbatasan langsung dengan Samudra Hindia, sangat rentan terhadap dampak gelombang tinggi, arus, dan perubahan iklim. Penelitian ini bertujuan untuk menghitung panjang garis pantai, jarak dan laju perubahan garis pantai, serta luas abrasi dan akresi di wilayah pesisir tersebut selama periode 2019 hingga 2023. Data citra satelit Sentinel-2 digunakan untuk memantau perubahan garis pantai, dengan metode Modified Normalized Difference Water Index (MNDWI) dan algoritma Otsu Thresholding untuk ekstraksi garis pantai. Hasil ekstraksi tersebut kemudian dikoreksi terhadap data pasang surut menggunakan Mike-21 Tide Prediction, untuk mendapatkan posisi garis pantai yang lebih akurat. Analisis perubahan garis pantai dilakukan menggunakan Digital Shoreline Analysis System (DSAS) dengan metode Net Shoreline Movement (NSM) dan End Point Rate (EPR). Perhitungan luas abrasi dan akresi dilakukan dengan metode overlay garis pantai dari tahun terlama dengan tahun terbaru. Hasil penelitian menunjukkan bahwa abrasi tertinggi terjadi di Kabupaten Bantul pada periode 2019 hingga 2020 dengan laju rata-rata 31,874 m/tahun dan luas 36,839 ha. Sedangkan akresi tertinggi terjadi pada periode 2022 hingga 2023 dengan laju rata-rata 27,250 m/tahun dan luas 32,775 ha. Di Kabupaten Kulon Progo, abrasi tertinggi juga terjadi pada periode 2019 hingga 2020 dengan laju rata-rata 27,685 m/tahun dan luas 61,618 ha, sementara akresi tertinggi terjadi pada periode 2022 hingga 2023 dengan laju rata-rata 17,687 m/tahun dan luas 38,730 ha. Perubahan abrasi dan akresi ini dipengaruhi oleh faktor iklim, sedimentasi sungai, arus, gelombang laut, kecepatan angin, pasang surut, serta pembangunan infrastruktur pantai. Abstract The coastal areas of Bantul and Kulon Progo regencies, which are directly adjacent to the Indian Ocean, are highly vulnerable to the impacts of high waves, currents and climate change. This study aims to calculate the length of the coastline, distance and rate of shoreline change, as well as the area of abrasion and accretion in these coastal areas during the period 2019 to 2023. Sentinel-2 satellite image data was used to monitor shoreline changes, using the Modified Normalized Difference Water Index (MNDWI) method and Otsu Thresholding algorithm for shoreline extraction. The extraction results were then corrected against tidal data using Mike-21 Tide Prediction, to obtain a more accurate shoreline position. Shoreline change analysis was conducted using Digital Shoreline Analysis System (DSAS) with Net Shoreline Movement (NSM) and End Point Rate (EPR) methods. Calculation of abrasion and accretion area is done by overlaying the shoreline method from the oldest year with the latest year. The results showed that the highest abrasion occurred in Bantul Regency in the period 2019 to 2020 with an average rate of 31,874 m/year and an area of 36,839 ha. While the highest accretion occurred in the period 2022 to 2023 with an average rate of 27,250 m/year and an area of 32,775 ha. In Kulon Progo Regency, the highest abrasion also occurred in the 2019 to 2020 period with an average rate of 27,685 m/year and an area of 61,618 ha, while the highest accretion occurred in the 2022 to 2023 period with an average rate of 17,687 m/year and an area of 38,730 ha. Changes in abrasion and accretion are influenced by climatic factors, river sedimentation, currents, ocean waves, wind speed, tides, and coastal infrastructure development.
Effect of Tropospheric Correction on Long Term Sentinel-1 SAR Measurement Insan Mafaazan; Panuntun, Hidayat
Journal of Geospatial Science and Technology Vol 2 No 2 (2024): Journal of Geospatial Science and Technology
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgst.v2i2.17064

Abstract

Sentinel-1 is a remote sensing satellite launched by the European Space Agency (ESA). It is equipped with a radar system that can take measurements over a wide area with high accuracy (cm-mm) and long-term observations. However, one of the main factors affecting long-term SAR measurements’ accuracy is the presence of tropospheric layers within the atmosphere. To determine how much influence this tropospheric effect has, two processing scenarios are performed, namely with and without tropospheric correction, respectively. LiCSBAS is used to perform processing with the time series analysis method. This project uses interferogram data from the Sentinel-1 SAR image with temporal ranging from 2015 to 2023. The research location is in Yogyakarta. Noise due to the presence of tropospheric layer was modeled and removed using Generic Atmospheric Correction Online Service (GACOS). The results show that tropospheric correction can improve the results by reducing the standard deviation in the interferogram phase up to 40%. Based on the results, without tropospheric correction, the maximum vertical displacement is 32.64 mm. With tropospheric correction, the maximum vertical displacement is 34.58 mm. The result suggests that noise from the tropospheric layer might underestimate the vertical displacement. Hence, applying the correction, especially for long-term InSAR measurement, is important.
Deteksi Deformasi Vertikal Permukaan Jembatan Mulya Agung Tahun 2021 – 2022 Menggunakan Data Mobile Laser Scanner Wulan Ratna Mayangsari; Andaru, Ruli
Journal of Geospatial Science and Technology Vol 3 No 1 (2025): Journal of Geospatial Science and Technology
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgst.v3i1.10253

Abstract

The Terbanggi Besar - Pematang Panggang - Kayu Agung Toll Road (TBPPKA) is a part of the Trans-Sumatra Toll Road (JTTS) that has been operational since November 2019, necessitating road maintenance. Routine maintenance is carried out on all toll road assets, including the Mulya Agung Underpass Bridge on the TBPPKA Toll Road at KM 240+822. This study aims to analyze vertical deformations on the bridge's surface using Mobile Laser Scanner (MLS) as a step in bridge monitoring and maintenance efforts. MLS technology was chosen for its capability in fast and accurate scanning, making it effective for multi-epoch measurements. Data generated from the MLS measurements come in the form of a point cloud, which still needs to be registered using the Iterative Closest Point (ICP) method to ensure the data is in the same coordinate system. Based on the research results, the RMS accuracy value in the registration process is 0.021 meters out of a total of 596,963 points sampled. To determine the presence of vertical deformation, a significant test was conducted using the Student's t-test. Based on the significant test results with a 95% confidence level, the calculated t-value (2.705) was found to be greater than the tabulated t-value (2.010), indicating a significant change in elevation. The maximum elevation increase is 9.1 cm on the south side of the bridge, while the minimum decrease is -3.4 cm on the north side of the bridge. Vertical deformations occur at the end of the bridge connected to the road, which is attributed to repairs involving asphalt addition. The MLS method has proven to be effective in detecting vertical deformations on the bridge with a level of detection of 2 cm.
Pengamatan Lendutan Vertikal Jembatan Krasak Secara Kontinu dengan Teknologi GNSS Jaka Putra Sakti; Muhammad Iqbal Taftazani
Journal of Geospatial Science and Technology Vol 3 No 1 (2025): Journal of Geospatial Science and Technology
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgst.v3i1.15130

Abstract

The Krasak Bridge, located on the border between the Special Region Province of Yogyakarta and Central Java, is the main access between Yogyakarta and Central Java. In accordance with the Regulation of the Minister of Public Works and Public Housing No. 41 of 2015, it is necessary to conduct a feasibility test on this bridge. This study aims to analyze whether the deflection on the Krasak Bridge meets the deflection requirements in RSNI T03 2005. Observations are made directly with the traffic load to get more accurate data, Observations are made at three points, namely TL10, TL20, and TL30, which are located at the two ends and center of the bridge. The method used is rapid static for 15 to 20 minutes, as well as observation of the number of vehicles passing through the bridge along with GNSS measurement. The observation results showed varying changes in elevation/vertical deflection with a maximum deflection of 0.1512 meters in TL10, 0.1760 meters in TL20, and 0.194 meters in TL30. The standard high deviation of kinematic post processing results with RTKLIB software is 1.2 cm. Based on the technical calculation of the bridge loading at RSNI T03 in 2006, the maximum tolerance allowed is 0.28 meters. Therefore, the deflection that occurs on the Krasak Bridge still meets the applicable standards.
Uji Akurasi Hasil Pengukuran GNSS Metode Statik dan RTK-NTRIP dengan Referensi CORS GMU2 Anandito Hardiyoso; Taftazani, Muhammad Iqbal
Journal of Geospatial Science and Technology Vol 3 No 1 (2025): Journal of Geospatial Science and Technology
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgst.v3i1.17071

Abstract

Global Navigation Satellite Systems (GNSS) technology continues to develop, including in terms of supporting infrastructure development. One of the latest infrastructure developments is the establishment of the GMU2 Continuous Operating Reference Systems (CORS) station on October 14, 2023, the result of cooperation between DTK Vocational School UGM and PT Kantara Group. This applicative activity aims to test the accuracy of GNSS measurements using static and RTK-NTRIP methods with the CORS GMU2 reference and compare it with CORS JOGS in Yogyakarta. GNSS data was obtained from nine measurement points using static and RTK-NTRIP methods with CORS GMU2 and JOGS as reference stations. The static method refers to the SNI standard Horizontal Control Net with a recording interval of 15 seconds for 20 minutes, while RTK-NTRIP uses real-time correction via the internet. Analysis was conducted through the calculation of standard deviation, RMSE, and significance test of coordinate differences. The results show that the static method with the GMU2 reference produces standard deviations of the Easting component of 0.03 cm to 0.09 cm, Northing of 0.02 cm to 0.09 cm, and height of 0.05 cm to 0.17 cm. The RTK-NTRIP method produces standard deviations of the Easting component of 0.12 cm to 4.46 cm, Northing of 0.11 cm to 5.00 cm, and height of 0.21 cm to 6.77 cm. Although the precision of GMU2 CORS is quite good, its accuracy is lower than that of JOGS CORS, with significant differences at some points. The total RMSE for the static method reached 37.565 cm, while the RTK-NTRIP method ranged from 41.010 cm to 42.572 cm. Significance tests showed significant differences at most points, with null hypothesis rejection of 100% for the static method and 78 to 81% for RTK-NTRIP. In conclusion, further evaluation is needed to ensure the reliability of GMU2 CORS as a reference station.

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