Application of Lutan -1 SAR Satellite Constellation to Earthquake Industry and Its Prospect

被引：1

作者：

Li, Yongsheng ^{[1
]}

Li, Qiang ^{[1
]}

Jiao, Qisong ^{[1
]}

Jiang, Wenliang ^{[1
]}

Li, Bingquan ^{[2
]}

Zhang, Jingfa ^{[1
]}

Luo, Yi ^{[1
]}

机构：

[1] National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing

[2] School of Automation, China University of Geoscience(Wuhan), Wuhan

来源：

Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | 2024年 / 49卷 / 10期

关键词：

coseismic deformation; earthquake response; fault interpretation; InSAR; Lutan-1;

D O I：

10.13203/j.whugis20230498

中图分类号：

学科分类号：

摘要：

Objectives: Lutan-1 (LT-1), as the first constellation of civil L-band interferometric synthetic aperture radar (InSAR) satellites in China, primarily focuses on surface deformation measurement by leveraging the differential interferometric, while also possessing height measurement and fully polarimetric imaging capabilities. With its dual-satellite formation imaging mode, it can achieve a strict revisit period of four days, which is highly beneficial for surface deformation monitoring and emergency response to natural disasters such as earthquakes. From the perspective of the LT-1 SAR satellite ' s imaging capabilities and the demands of the seismic industry, we primarily highlight the preliminary applications of the satellite system during the testing phase. The main objective is to evaluate the satellite data's capabilities in co-seismic deformation monitoring, emergency observations, and remote sensing interpretation of active fault zones. The ultimate purpose is to provide a reference for the future commercialization of seismic applications, based on the potential applications of the satellite data in these fields. Methods: Taking the examples of the 2022 Luding earthquake in Sichuan Province,China, the 2023 Turkey earthquake, and the Jishishan earthquake in Gansu Province, China, coseismic deformation monitoring will be conducted. The deformation maps will be assessed in terms of accuracy and monitoring capabilities. Additionally, emergency assessments of secondary earthquake hazards and remote sensing investigations of active fault zones will be carried out based on the high-resolution SAR data from the LT-1 satellite. Results: By comparing the co-seismic deformation results derived from LT-1 satellites with the results from concurrent other SAR satellites and global navigation satellite system (GNSS) measurements, it has been verified that the LT-1 satellite has significant advantages in terms of monitoring accuracy and spatiotemporal resolution. In addition, leveraging the high-resolution advantage of LT-1 SAR satellite imagery, it is possible to quickly obtain information on the distribution of earthquake-induced landslides and accurately delineate the accessibility of roads in the affected area. This capability effectively supports earthquake emergency response and disaster assessment efforts. Furthermore, thanks to the L-band sensor, the LT-1 satellite exhibits strong penetration capabilities, thus enabling the detection of hidden faults. Conclusions: Through multiple case studies in the seismic industry, encompassing various areas such as coseismic deformation monitoring, emergency response, and hidden fault detection, the results have demonstrated that the LT-1 satellite constellation has a significant breadth and depth of applications in the seismic industry. In the future, it will effectively support scientific research on seismic cycles and earthquake emergency operations. © 2024 Editorial Department of Geomatics and Information Science of Wuhan University. All rights reserved.

引用

页码：1741 / 1752

页数：11

共 33 条

[11]

Feng W P, Li Z H，, Hoey T，, Et al., Patterns and Mechanisms of Coseismic and Postseismic Slips of the 2011 Mw 7. 1 van （Turkey） Earthquake Revealed by Multi-platform Synthetic Aperture Radar Interferometry ［J］, Tectonophysics, 632, pp. 188-198, (2014)

[12]

Funning G J，, Garcia A., A Systematic Study of Earthquake Detectability Using Sentinel-1 Interferometric Wide-Swath Data［J］, Geophysical Journal International, 216, 1, pp. 332-349, (2019)

[13]

Wang T, Wei S J，, Shi X H，, Et al., The 2016 Kaikōura Earthquake：Simultaneous Rupture of the Subduction Interface and Overlying Faults［J］, Earth and Planetary Science Letters, 482, pp. 44-51, (2018)

[14]

Qu C Y，, Shan X J，, Zhao D Z，, Et al., Relationships Between InSAR Seismic Deformation and Fault Motion Sense，Fault Strike，and Ascending/Descending Modes［J］, Acta Geologica Sinica, 91, 1, pp. 93-108, (2017)

[15]

Weiss J R，, Walters R J，, Morishita Y，, Et al., High-Resolution Surface Velocities and Strain for Anatolia from Sentinel-1 InSAR and GNSS Data［J］, Geophysical Research Letters, 47, 17, (2020)

[16]

Bekaert D P S，, Hooper A，, Wright T J., Reassessing the 2006 Guerrero Slow-Slip Event，Mexico：Implications for Large Earthquakes in the Guerrero Gap ［J］, Journal of Geophysical Research：Solid Earth, 120, 2, pp. 1357-1375, (2015)

[17]

Hamling I J，, Hreinsdottir S，, Clark K，, Et al., Complex Multifault Rupture During the 2016 Mw 7. 8 Kaikōura Earthquake，New Zealand［J］, Science, 356, 6334, (2017)

[18]

Wang H，, Wright T J，, Biggs J., Interseismic Slip Rate of the Northwestern Xianshuihe Fault from InSAR Data［J］, Geophysical Research Letters, 36, 3, (2009)

[19]

Hussain E，, Wright T J，, Walters R J，, Et al., Constant Strain Accumulation Rate Between Major Earthquakes on the North Anatolian Fault［J］, Nature Communications, 9, (2018)

[20]

Yongsheng Li, Wanpeng Feng, Jingfa Zhang, Et al., Coseismic Slip of the 2014 Mw 6. 1 Napa，California Earthquake Revealed by Sentinel-1A InSAR［J］, Chinese Journal of Geophysics, 58, 7, pp. 2339-2349, (2015)

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