Ship-borne dual-antenna InSAR slope deformation monitoring

doi:10.11947/j.AGCS.2023.20210541

Abstract

Abstract: Differential synthetic aperture radar interferometry (D-InSAR) is a remote sensing technology that uses SAR data in different phases to obtain deformation information. It has been widely used in large-scale surface deformation monitoring. Various InSAR sensor-carrying platforms are used in different spatial scale research, including space-borne, airborne, vehicle-mounted and ground-based InSAR, etc. In small-scale river slope monitoring, under the condition that the opposite bank can be observed, fixed ground-based InSAR monitoring is mainly used at present. However, the ground-based InSAR deployment cycle is long and the cost is high. This study proposes a mobile shipborne InSAR deformation monitoring technology. And according to the ship-borne InSAR imaging geometry, a shipborne upward-looking dual-antenna InSAR deformation monitoring model is designed. This model enables the close-up-looking ship-borne InSAR system to meet the same conditions of δϑ=ϑ-ϑ₀=0 under the condition that H≫h and R≫h are not reached. We conducted experiments in the Lancang River Basin in Yunnan Province, using corner reflectors (triangle corner reflector, TCR) to simulate the deformation and evaluate the accuracy of the deformation results. The experimental results show that the ship-borne InSAR technology proposed in this paper can obtain the Line of Sight (LOS) deformation error within 2 cm. Shipborne InSAR technology is suitable for slope deformation monitoring in river basins, and is of great significance for disaster monitoring and early warning of water conservancy facilities.

Key words: InSAR, D-InSAR, dual-antenna InSAR, shipborne InSAR, triangle corner reflector, deformation monitoring

CLC Number:

P227

SHEN Guangbao, PAN Bin, LIU Lei. Ship-borne dual-antenna InSAR slope deformation monitoring[J]. Acta Geodaetica et Cartographica Sinica, 2023, 52(3): 443-453.

References

[1] CARRARA A, GUZZETTI F, CARDINALI M, et al. Use of GIS technology in the prediction and monitoring of landslide hazard[J]. Natural Hazards, 1999, 20(2/3):117-135.
[2] BHATTACHARYA A, MUKHERJEE K, KURI M, et al. Potential of SAR intensity tracking technique to estimate displacement rate in a landslide-prone area in Haridwar region, India[J]. Natural Hazards, 2015, 79(3):2101-2121.
[3] BAYIK C. Deformation analysis of 2020 mW 5.7 Karlova, Turkey, earthquake using DInSAR method with different incidence angle SAR data[J]. Arabian Journal of Geosciences, 2021, 14(4):273.
[4] ESPOSITO C, NATALE A, PALMESE G, et al. On the capabilities of the Italian airborne FMCW axis InSAR system[J]. Remote Sensing, 2020, 12(3):539.
[5] LAZECKY M, HLAVACOVA I, BAKON M, et al. Bridge displacements monitoring using space-borne X-band SAR interferometry[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 10(1):205-210.
[6] COLESANTI C, WASOWSKI J. Investigating landslides with space-borne Synthetic Aperture Radar (SAR) interferometry[J]. Engineering geology, 2006, 88(3-4):173-199.
[7] YE Xia, KAUFMANN H, GUO X F. Landslide monitoring in the Three Gorges area using D-InSAR and corner reflectors[J]. Photogrammetric Engineering & Remote Sensing, 2004, 70(10):1167-1172.
[8] JAUVIN M, YAN Yajing, TROUVÉ E, et al. Integration of corner reflectors for the monitoring of mountain glacier areas with Sentinel-1 time Series[J]. Remote Sensing, 2019, 11(8):988.
[9] FERRETTI A, PRATI C, ROCCA F. Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(5):2202-2212.
[10] TIZZANI P, BERARDINO P, CASU F, et al. Surface deformation of Long Valley caldera and Mono Basin, California, investigated with the SBAS-InSAR approach[J]. Remote Sensing of Environment, 2007, 108(3):277-289.
[11] 常亮. 基于GPS和美国环境预报中心观测信息的InSAR大气延迟改正方法研究[J]. 测绘学报, 2011,40(5):669. CHANG Liang. InSAR atmospheric delay correction based on GPS observations and NCEP data[J]. Acta Geodaetica et Cartographica Sinica, 2011, 40(5):669.
[12] LI Zhiwei, DING Xiaoli, ZHU Jianjun, et al. Quantitative study of atmospheric effects in spaceborne InSAR measurements[J]. Journal of Central South University of Technology, 2005, 12(4):494-498.
[13] REIGBER A, SCHEIBER R. Airborne differential SAR interferometry:first results at L-band[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(6):1516-1520.
[14] REIGBER A, MOREIRA A. First demonstration of airborne SAR tomography using multibaseline L-band data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(5):2142-2152.
[15] 王萌萌, 黄国满, 花奋奋, 等. 机载双天线InSAR联合定标算法[J]. 测绘学报, 2014, 43(12):1259-1265. WANG Mengmeng, HUANG Guoman, HUA Fenfen, et al. Joint calibration method of airborne dual-antenna interferometric SAR[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(12):1259-1265.
[16] FREY O, WERNER C L, WEGMULLER U, et al. A car-borne SAR and InSAR experiment[C]//Proceedings of 2013 IEEE International Geoscience and Remote Sensing Symposium.Melbourne,Australia:IEEE, 2013:93-96.
[17] FREY O, WERNER C L, HAJNSEK I, et al. A car-borne SAR system for interferometric measurements:development status and system enhancements[C]//Proceedings of 2018 IEEE International Geoscience and Remote Sensing Symposium. Valencia, Spain:IEEE, 2018:6508-6511.
[18] FREY O, WERNER C L, COSCIONE R. Car-borne and UAV-borne mobile mapping of surface displacements with a compact repeat-pass interferometric SAR system at L-band[C]//Proceedings of 2019 IEEE International Geoscience and Remote Sensing Symposium. Yokohama, Japan:IEEE, 2019:274-277.
[19] LEVA D, NICO G, TARCHI D, et al. Temporal analysis of a landslide by means of a ground-based SAR Interferometer[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(4):745-752.
[20] TARCHI D, CASAGLI N, FANTI R, et al. Landslide monitoring by using ground-based SAR interferometry:an example of application to the Tessina landslide in Italy[J]. Engineering Geology, 2003, 68(1/2):15-30.
[21] HANSSEN R F, WECKWERTH T M, ZEBKER H A, et al. High-resolution water vapor mapping from interferometric radar measurements[J]. Science, 1999, 283(5406):1297-1299.
[22] FERRETTI A, SAVIO G, BARZAGHI R, et al. Submillimeter accuracy of InSAR time series:experimental validation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(5):1142-1153.
[23] LIU Guoxiang, JIA Hongguo, ZHANG Rui, et al. Exploration of subsidence estimation by persistent scatterer InSAR on time series of high resolution TerraSAR-X images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2011,4(1):159-170.
[24] SHANKER P, CASU F, ZEBKER H A, et al. Comparison of persistent scatterers and small baseline time-series InSAR results:a case study of the San francisco bay area[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(4):592-596.
[25] ZHANG Lele, DAI Keren, DENG Jin, et al. Identifying potential landslides by stacking-InSAR in southwestern China and its performance comparison with SBAS-InSAR[J]. Remote Sensing, 2021, 13(18):3662.
[26] EVEN M, SCHULZ K. InSAR deformation analysis with distributed scatterers:a review complemented by new advances[J]. Remote Sensing, 2018, 10(5):744.