Coherence Analysis of Sentinel-1A Images in Various Land Covers

Satrio Muhammad Alif, Ongky Anggara, Vidiya Ristiana

Abstract


Coherence analysis is a valuable technique to assess the suitability and similarity of pixel pairs between two radar images taken at different times. In this study, we conducted coherence analysis on a series of Sentinel-1A images acquired between 2017 to 2022 in Palembang, Indonesia, encompassing various land covers. The analysis was conducted on different land covers, including urban areas, agricultural lands and natural terrains. The study aimed to identify land cover types with high coherence values Sentinel-1A images, as these could indicate stable or unchanged surfaces. The results show that land cover in Palembang which has high coherence is open land and built area. The average coherence value in the study area from 2017 to 2022 is ~0.2 to ~0.27, indicating relatively stable surfaces. This study is useful as initial consideration to utilize Sentinel-1A image for further research in earthquake and disaster analysis.


Keywords


Coherence; Land Cover; InSAR; Sentinel-1A Image.

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References


Alif, S. M., Yosua, E., Fauzi, A. I. & Leksono, B. E., (2020). Association between Surface Air Temperature and Land Use On The Campus Scale. Journal of Geoscience, 5(3), pp. 143-150.

Anggara, O., Welly, T. K., Fauzi, A. I., Alif, S. M., Perdana, R. S., Oktarina, S. W., Nuha, M. N., & Rosadi, U. (2023). Monitoring ground deformation of Sinabung volcano eruption 2018-2019 using DInSAR technique and GPS data. In AIP Conference Proceedings (Vol. 2654, No. 1). AIP Publishing.

Bioresita, F., Ngurawan, M. G. R. & Hayati, N., (2021). Identifikasi Sebaran Spasial Genangan Banjir memanfaatkan Citra Sentinel-1 dan Google Earth Engine (Studi Kasus : Banjir Kalimantan Selatan). Journal of Geodesy and Geomatics, 17(1), pp. 108-118.

Canisius, F., Brisco, B., Murnaghan, K., & Kooij, M. (2019). SAR Backscatter and InSAR Coherence for Monitoring Wetland Extent, Flood Pulse and Vegetation: A Study of the Amazon Lowland. Remote Sensing, 11(6), 1-18.

Derajat, R. M., Sopariah, Y., Aprilianti, S., & Taruna, A. (2020). Klasifikasi Tutupan Lahan Menggunakan Citra Landsat 8 Operational Land Imager (OLI) di Kecamatan Pangandaran. Jurnal Samudra Geografi, 3(1), 1-10.

Farr, T. G., Rosen, P., Caro, E., Crippen, R., Duren, R., Hensley, S., Burbank, D. (2007). The Shuttle Radar Topography Mission. Advancing Earth and Space Sciences (AGU), 45(2).

Geudtner, D., Torres, R., Snoeij, P., and Davidson, M. (2014). Sentinel-1 System capabilities and applications. nternational Geoscience and Remote Sensing Symposium.

KLHK, (2020). Statistika Kementerian Lingkungan Hidup dan Kehutanan 2020. Jakarta: Kementerian Lingkungan Hidup dan Kehutanan Republik Indonesia.

Kushardono, D. dan Arif, R., (2020). Pemanfaatan Data Satelit Radar untuk Wilayah Darat di Indonesia : Peluang dan Tantangan. Jakarta: LIPI Press dan LAPAN.

Nasirzadehdizaji, R., Cakir, Z., Sanli, F. B., Abdikan, S., Pepe, A., and Calo, F. (2021). Sentinel-1 interferometric coherence and backscattering analysis for crop monitoring. Computers and Electronics in Agriculture, 185.

Novellino, A., Cigna, F., Brahmi, M., Sowter, A., Bateson, L., & Stuart, M. (2017). Assessing the Feasibility of a National InSAR Ground Deformation Map of Great Britain with Sentinel-1. Geosciences, 7(2), 1-14.

Olen, S., and Bookhagen, B. (2018). Mapping damage-affected areas after natural hazard events using sentinel-1 coherence time series. Remote Sensing, 10(8).

Profilyanti, B. (2015). Studi Klasifikasi Tutupan Lahan menggunakan Data ScanSAR ALOS PALSAR dan Citra Landsat TM (Studi Kasus : Semarang, Jawa Tengah). Teknik Geomatika ITS.

Rulian, N., Armijon dan Murdapa, F. (2021). Analisis Hamburan Balik Citra Sentinel-1 untuk Pemantauan Kelas Umur Tanaman Kelapa Sawit (Studi Kasus: PT. Perkebunan Nusantara VII unit Rejosari, Natar, Kabupaten Lampung Selatan). Journal of Geodesy and Geomatics, 1(2), pp. 55-66.

Santoro, M., Wegmueller, U., Askne, J.I.H. (2010). Signatures of ERS-envisat interferometric SAR coherence and phase of short vegetation: An analysis in the case of maize fields. IEEE Trans. Geosci. Remote Sens. 48.

Sumiati, S., Ummah, E. N. M., Fernanda, M. F., & Ridwana, R. (2023). Perbandingan Hasil Metode Algoritma Backscattering dan Otsu Thresholding dalam Identifikasi Genangan Banjir di Kota Bogor. Media Komunikasi Geografi, 24(1), 1-14.

Tamm, T., Zalite, K., Voormansik, K., and Talgre, L. (2016). Relating Sentinel-1 interferometric coherence to mowing events on grasslands. Remote Sensing, 8(10), 802.

Wegmuller, U., Santoro, M., Werner, C. and Cartus, O. (2015). On The Estimation and Interpretation of Sentinel-1 Tops InSAR Coherence. Gamma Remote Sensing.

Yusup, M., Tarigan, P. I. S., Noviansah, K., Ridwana, R., & Aliyan, S. A. (2023). Identifikasi Genangan Banjir Menggunakan Sentinel-1 dan Korelasinya dengan Kerawanan Banjir di Kabupaten Barito Selatan. Geo-Image, 12(1), 62-70.

Zhang, T., Shen, W., Wu, W., & Bao, Z. (2019). Recent Surface Deformation in the Tianjin Area Revealed by Sentinel-1A Data. Remote Sensing, 11(2), 1-25.




DOI: https://doi.org/10.17509/gea.v23i2.61258

DOI (PDF): https://doi.org/10.17509/gea.v23i2.61258.g24473

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