scholarly journals Pemanfaatan Persistent Scatterer Interferometry Synthetic Aperture Radar (PSInSAR) Untuk Mengidentifikasi Laju Deformasi Permukaan di Lapangan Panas Bumi Ulubelu

2021 ◽  
Vol 4 (2) ◽  
pp. 86
Author(s):  
I Gede Boy Darmawan ◽  
Karyanto Karyanto
Keyword(s):  
Synthetic Aperture Radar ◽  
Input Data ◽  
Synthetic Aperture ◽  
Line Of Sight ◽  
Image Pair ◽  
Persistent Scatterer Interferometry ◽  
Persistent Scatterer ◽  
Aperture Radar

Lapangan panas bumi Ulubelu telah diekstraksi sejak tahun 2012 dengan menghasilkan 2 x 55 MW dari PLTP unit 1 & 2 dan meningkat menjadi 4 x 55 MW sejak tahun 2016 dengan beroperasinya unit 3 dan unit 4. Peningkatan eksploitasi energi panas bumi di Ulubelu berpotensi menimbulkan perubahan kondisi geologi dan lingkungan yang salah satunya adalah subsiden. Penelitian ini bertujuan untuk mengidentifikasi potensi laju deformasi permukaan memanfaatkan metode Persistent Scatterer Interferometry Synthetic Aperture Radar (PSInSAR) di lapangan panas bumi Ulubelu. Sebanyak 49 data Sentinel-1 periode Oktober 2014 hingga Maret 2020 dengan mode descending telah diolah dan dianalisis menggunakan tiga software utama yaitu SNAP, StaMPS dan StaMPS-Visualizer. Pembentukan interferogram pada setiap pasangan data (image pair) antara master dengan seluruh slave dilakukan menggunakan SNAP. Seluruh data interferogram kemudian diexport sebagai input data StaMPS untuk mendapatkan nilai piksel yang memiliki koherensi terbaik dan persistent. Hasil pengolahan menunjukkan laju deformasi per titik persistent scatterer (PS) berkisar antara -7,3 hingga +7,5 mm/tahun relatif pada arah Line of Sight (LOS) tanpa validasi lapangan. Pola deformasi berupa penurunan muka tanah berada di sekitar area eksploitasi panas bumi, sedangkan kenaikan muka tanah (uplift) terdeteksi di luar area eksploitasi. Hasil analisis menunjukkan bahwa kesamaan laju deformasi pada PLTP unit 1 & 2 dengan PLTP unit 3 & 4 mengindikasikan proses subsiden di area Ulubelu didominasi oleh proses ekstraksi fluida panas bumi. Temuan ini juga memperkuat penelitian sebelumnya yang menunjukkan bahwa proses subsiden di area panas bumi Ulubelu disebabkan oleh pemadatan batuan alterasi.

scholarly journals Comparison of Persistent Scatterer Interferometry and SAR Tomography Using Sentinel-1 in Urban Environment

2018 ◽  
Vol 10 (12) ◽  
pp. 1986 ◽  
Author(s):  
Alessandra Budillon ◽  
Michele Crosetto ◽  
Angel Johnsy ◽  
Oriol Monserrat ◽  
Vrinda Krishnakumar ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Urban Environment ◽  
Synthetic Aperture ◽  
Low Resolution ◽  
Persistent Scatterer Interferometry ◽  
Experimental Part ◽  
Persistent Scatterer ◽  
Urban Monitoring ◽  
Aperture Radar

In this paper, persistent scatterer interferometry and Synthetic Aperture Radar (SAR) tomography have been applied to Sentinel-1 data for urban monitoring. The paper analyses the applicability of SAR tomography to Sentinel-1 data, which is not granted, due to the reduced range and azimuth resolutions and the low resolution in elevation. In a first part of the paper, two implementations of the two techniques are described. In the experimental part, the two techniques are used in parallel to process the same Sentinel-1 data over two test areas. An intercomparison of the results from persistent scatterer interferometry and SAR tomography is carried out, comparing the main parameters estimated by the two techniques. Finally, the paper addresses the complementarity of the two techniques, and in particular it assesses the increase of measurement density that can be achieved by adding the double scatterers from SAR tomography to the persistent scatterer interferometry measurements.

scholarly journals A SHORT REVIEW ON PERSISTENT SCATTERER INTERFEROMETRY TECHNIQUES FOR SURFACE DEFORMATION MONITORING

2022 ◽  
Vol XLVI-4/W3-2021 ◽  
pp. 23-31
Author(s):  
A. M. H. Ansar ◽  
A. H. M. Din ◽  
A. S. A. Latip ◽  
M. N. M. Reba
Keyword(s):  
Synthetic Aperture Radar ◽  
Surface Deformation ◽  
Deformation Monitoring ◽  
Synthetic Aperture ◽  
Structural Development ◽  
Interferometric Synthetic Aperture Radar ◽  
Persistent Scatterer Interferometry ◽  
Persistent Scatterers ◽  
Persistent Scatterer ◽  
Aperture Radar

Abstract. Technology advancement has urged the development of Interferometric Synthetic Aperture Radar (InSAR) to be upgraded and transformed. The main contribution of the InSAR technique is that the surface deformation changes measurements can achieve up to millimetre level precision. Environmental problems such as landslides, volcanoes, earthquakes, excessive underground water production, and other phenomena can cause the earth's surface deformation. Deformation monitoring of a surface is vital as unexpected movement, and future behaviour can be detected and predicted. InSAR time series analysis, known as Persistent Scatterer Interferometry (PSI), has become an essential tool for measuring surface deformation. Therefore, this study provides a review of the PSI techniques used to measure surface deformation changes. An overview of surface deformation and the basic principles of the four techniques that have been developed from the improvement of Persistent Scatterer Interferometric Synthetic Aperture Radar (PSInSAR), which is Small Baseline Subset (SBAS), Stanford Method for Persistent Scatterers (StaMPS), SqueeSAR and Quasi Persistent Scatterer (QPS) were summarised to perceive the ability of these techniques in monitoring surface deformation. This study also emphasises the effectiveness and restrictions of each developed technique and how they suit Malaysia conditions and environment. The future outlook for Malaysia in realising the PSI techniques for structural monitoring also discussed in this review. Finally, this review will lead to the implementation of appropriate techniques and better preparation for the country's structural development.

scholarly journals Editorial for the Special Issue “Urban Deformation Monitoring using Persistent Scatterer Interferometry and SAR Tomography”

2019 ◽  
Vol 11 (11) ◽  
pp. 1306
Author(s):  
Alessandra Budillon ◽  
Michele Crosetto ◽  
Oriol Monserrat
Keyword(s):  
Synthetic Aperture Radar ◽  
Urban Areas ◽  
Deformation Monitoring ◽  
Synthetic Aperture ◽  
Special Issue ◽  
Persistent Scatterer Interferometry ◽  
Persistent Scatterer ◽  
Wide Range ◽  
Interferometric Sar ◽  
Aperture Radar

This Special Issue hosts papers related to deformation monitoring in urban areas based on two main techniques: Persistent Scatterer Interferometry (PSI) and Synthetic Aperture Radar (SAR) Tomography (TomoSAR). Several contributions highlight the capabilities of Interferometric SAR (InSAR) and PSI techniques for urban deformation monitoring. In this Special Issue, a wide range of InSAR and PSI applications are addressed. Some contributions show the advantages of TomoSAR in un-mixing multiple scatterers for urban mapping and monitoring. This issue includes a contribution that compares PSI and TomoSAR and another one that uses polarimetric data for TomoSAR.

scholarly journals Estimation of Velocity of the Polar Record Glacier, Antarctica Using Synthetic Aperture Radar (SAR)

Proceedings ◽  
2018 ◽  
Vol 2 (7) ◽  
pp. 332
Author(s):  
Prashant H. Pandit ◽  
Shridhar D. Jawak ◽  
Alvarinho J. Luis
Keyword(s):  
Synthetic Aperture Radar ◽  
European Space Agency ◽  
Velocity Estimation ◽  
Synthetic Aperture ◽  
Persistent Scatterer Interferometry ◽  
Synthetic Aperture Radar Interferometry ◽  
Space Agency ◽  
Persistent Scatterer ◽  
Glacier Velocity ◽  
Aperture Radar

The ice flow velocity is a critical variable in understanding the glacier dynamics. The Synthetic Aperture Radar Interferometry (InSAR) is a robust technique to monitor Earth’s surface mainly to measure its topography and deformation. The phase information from two or more interferogram further helps to extract information about the height and displacement of the surface. We used this technique to derive glacier velocity for Polar Record Glacier (PRG), East Antarctica, using Sentinel-1 Single Look Complex images that were captured in Interferometric Wide mode. For velocity estimation, Persistent Scatterer interferometry (PS-InSAR) method was applied, which uses the time coherent of permanent pixel of master images and correlates to the same pixel of the slave image to get displacement by tracking the intensity of those pixels. C-band sensor of European Space Agency, Sentinel-1A, and 1B data were used in this study. Estimated average velocity of the PRG is found to be approximately ≈400 ma−1, which varied from ≈100 to ≈700 ma−1. We also found that PRG moves at ≈700 and 200 ma−1 in the lower part and the upper inland area, respectively.

Neural networks for the inversion of soil surface parameters from synthetic aperture radar satellite data

2004 ◽  
Vol 31 (1) ◽  
pp. 95-108 ◽  
Author(s):  
Mahmod Reza Sahebi ◽  
Ferdinand Bonn ◽  
Goze B Bénié
Keyword(s):  
Neural Networks ◽  
Soil Moisture ◽  
Kalman Filter ◽  
Synthetic Aperture Radar ◽  
Satellite Data ◽  
Input Data ◽  
Soil Surface ◽  
Synthetic Aperture ◽  
Surface Parameters ◽  
Aperture Radar

This paper presents an application of neural networks to the extraction of bare soil surface parameters such as roughness and soil moisture content using synthetic aperture radar (SAR) satellite data. It uses a fast learning algorithm for training a multilayer feedforward neural network using the Kalman filter technique. Two different databases (theoretical and empirical) were used for the learning stage. Each database was configured as single and multiangular sets of input data (data acquired at two different incidence angles) that are compatible with data from one and two satellite images, respectively. All the configurations are trained and then evaluated using RADARSAT-1 and simulated data. The empirical (measured) database with the multiangular set of input data configuration had the best accuracy with a mean error of 1.54 cm for root mean square (rms) height of the surface roughness and 2.45 for soil dielectric constant in the study area. Based on these results the proposed approach was applied on RADARSAT-1 images from the Chateauguay watershed area (Quebec, Canada) and the final results are presented in the form of roughness and humidity maps.Key words: neural networks, Kalman filter, RADARSAT, SAR, soil roughness, soil moisture.

scholarly journals Fusion of SAR Interferometry and Polarimetry Methods for Landslide Reactivation Study, the Bureya River (Russia) Event Case Study

2021 ◽  
Vol 13 (24) ◽  
pp. 5136
Author(s):  
Valery Bondur ◽  
Tumen Chimitdorzhiev ◽  
Aleksey Dmitriev ◽  
Pavel Dagurov
Keyword(s):  
Synthetic Aperture Radar ◽  
Radar Data ◽  
Sar Interferometry ◽  
Synthetic Aperture ◽  
Line Of Sight ◽  
Scattering Mechanisms ◽  
Radar Images ◽  
Landslide Reactivation ◽  
Sbas Insar ◽  
Aperture Radar

In this paper, we demonstrate the estimation capabilities of landslide reactivation based on various SAR (Synthetic Aperture Radar) methods: Cloude-Pottier decomposition of Sentinel-1 dual polarimetry data, MT-InSAR (Multi-temporal Interferometric Synthetic Aperture Radar) techniques, and cloud computing of backscattering time series. The object of the study is the landslide in the east of Russia that took place on 11 December 2018 on the Bureya River. H-α-A polarimetric decomposition of C-band radar images not detected significant transformations of scattering mechanisms for the surface of the rupture, whereas L-band radar data show changes in scattering mechanisms before and after the main landslide. The assessment of ground displacements along the surface of the rupture in the 2019–2021 snowless periods was carried out using MT-InSAR methods. These displacements were 40 mm/year along the line of sight. The SBAS-InSAR results have allowed us to reveal displacements of great area in 2020 and 2021 snowless periods that were 30–40 mm/year along the line-of-sight. In general, the results obtained by MT-InSAR methods showed, on the one hand, the continuation of displacements along the surface of the rupture and on the other hand, some stabilization of the rate of landslide processes.

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