Comparison of Sentinel-1A Ascending and Descending Image Processing Results on the Tukul Dam Using SNAP Software

Authors

  • Faiz Mahbubi Department of Civil Engineering, Faculty of Engineering, Diponegoro University, Indonesia
  • Sukamta Department of Civil Engineering, Faculty of Engineering, Diponegoro University, Indonesia
  • Yudo Prasetyo Department of Geodetic Engineering, Faculty of Engineering, Diponegoro University, Indonesia

DOI:

https://doi.org/10.30871/jagi.v9i2.8750

Keywords:

Sentinel, Ascending, Descending, DInSAR, Dam

Abstract

This study analysed and compared the accuracy of the results of Sentinel 1A satellite image processing in the ascending and descending orbit directions with SNAP software. The research is located at Tukul Dam, Karanggede Village, Arjosari District, Pacitan Regency, East Java Province, with a range of observation data for one year in 2022-2023. Sentinel 1A satellite image processing uses the Differential Interferometry Synthetic Aperture Radar (DInSAR) method. The results of Sentinel 1A image processing were validated using measurement data from 38 dam surface measurement points that had been measured terrestrially.

The accuracy calculation uses the Root Mean Square error (RMSe) to measure the vertical movement of coordinates (Z) from the results of Sentinel 1A image processing in the ascending and descending orbit directions with the actual position in the field measured terrestrially. The result is the RMSe value of vertical movement from the Sentinel 1A image processing in the ascending direction is 0.015m. In comparison, the result of Sentinel lA image processing in the descending orbit direction is 0.234m. Based on the calculation results of the RMSe value of vertical movement, the results of Sentinel 1A image processing in the ascending direction are better used for calculating vertical movement at Tukul Dam.

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References

Azdan, M. D., & Samekto, C. R. (2008). Kritisnya Kondisi Bendungan di Indonesia.

Balai Besar Wilayah Sungai Bengawan Solo (2023). Laporan Pemantauan Bendungan Tukul.

Bourbigot, M. (2016). Sentinel-1 Product Definition.

Calò, F., Ardizzone, F., Castaldo, R., Lollino, P., Tizzani, P., Guzzetti, F., Lanari, R., Angeli, M.-G., Pontoni, F., & Manunta, M. (2014). Enhanced landslide investigations through advanced DInSAR techniques: The Ivancich case study, Assisi, Italy. Remote Sensing of Environment, 142, 69–82. https://doi.org/10.1016/j.rse.2013.11.003

Di Stefano, F., Cuevas-Gonzalez, M., Luzi, G., & Malinverni, E. S. (2022). Assessing Levelling And DInSAR For Deformation Monitoring In Seismic Region. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B3-2022, 263–270. https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-263-2022

Ferretti, A., Monti-Guarnieri, A., Prati, C., Rocca, F., & Massonnet, D. (2007). InSAR Principles—Guidelines for SAR Interferometry Processing and Interpretation. ESA Publications.

Gheorghe, M., Armas, I., University of Bucharest, Nastase, E.-I., National Institute of Earth Physics, Munteanu, A., & National Institute of Earth Physics. (2018). Potential of InSAR monitoring for seismic areas in Romanian. GeoPatterns, 3(1), 23–31. https://doi.org/10.5719/GeoP.3.1/4

Kampes, B. M. (2006). Radar interferometry: Persistent scatterer technique. Springer.

Lusch, D. P. (1999). Introduction To Microwave Remote Sensing.

Luzi, G., Crosetto, M., & Fernández, E. (2017). Radar Interferometry for Monitoring the Vibration Characteristics of Buildings and Civil Structures: Recent Case Studies in Spain. Sensors, 17(4), 669. https://doi.org/10.3390/s17040669

Prasetyo, Y., & Subiyanto, S. (2014). Studi Penurunan Muka Tanah (Land Subsidence) Menggunakan Metode Permanent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) di Kawasan Kota Cimahi - Jawa Barat. Teknik, 35(2), 78–85. https://doi.org/10.14710/teknik.v35i2.7184

Simons, M., & Rosen, P. A. (2007). 3.12 Interferometric Synthetic Aperture Radar Geodesy.

Sri Sumantyo, J. T., Shimada, M., Mathieu, P.-P., Sartohadi, J., & Putri, R. F. (2012). Dinsar technique for retrieving the volume of volcanic materials erupted by Merapi volcano. 2012 IEEE International Geoscience and Remote Sensing Symposium, 1302–1305. https://doi.org/10.1109/IGARSS.2012.6351299

Ullo, S. L., Addabbo, P., Martire, D. D., Sica, S., Fiscante, N., Cicala, L., & Angelino, C. V. (2019). Application of DInSAR Technique to High Coherence Sentinel-1 Images for Dam Monitoring and Result Validation Through In Situ Measurements. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(3), 875–890. https://doi.org/10.1109/JSTARS.2019.2896989

Wu, Y.-Y., Tai, Y.-H., & Ren, H. (2021). Comparison Of Different Coherence Thresholds For Phase Unwrapping Of Sentinel-1 Imagery.

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Published

2025-12-26