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Article

Time Series Analysis of Fucheng-1 Interferometric SAR for Potential Landslide Monitoring and Synergistic Evaluation with Sentinel-1 and ALOS-2

1
State Key Laboratory of Geological Disaster Prevention and Geological Environmental Protection, Chengdu University of Technology, Chengdu 610059, China
2
College of Geophysics, Chengdu University of Technology, Chengdu 610059, China
3
College of Earth and Planetary Sciences, Chengdu University of Technology, Chengdu 610059, China
4
State Grid Southwest Electric Power Research Institute, Chengdu 610095, China
5
Spacety Co., Ltd. (Changsha), Changsha 410006, China
6
Sichuan Highway Planning, Survey Design and Research Institute Ltd., Chengdu 610041, China
7
Hubei Subsurface Multi-Scale Imaging Key Laboratory, School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China
8
Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2026, 18(2), 304; https://doi.org/10.3390/rs18020304
Submission received: 11 November 2025 / Revised: 3 January 2026 / Accepted: 8 January 2026 / Published: 16 January 2026

Abstract

Fucheng-1 is China’s first commercial synthetic aperture radar (SAR) satellite equipped with interferometric capabilities. Since its launch in 2023, it has demonstrated strong potential across a range of application domains. However, a comprehensive and systematic evaluation of its overall performance, including its time-series monitoring capability, is still lacking. This study applies the Small Baseline Subset (SBAS-InSAR) method to conduct the first systematic processing and evaluation of 22 Fucheng-1 images acquired between 2023 and 2024. A total of 45 potential landslides were identified and subsequently validated through field investigations and UAV-based LiDAR data. Comparative analysis with Sentinel-1 and ALOS-2 indicates that Fucheng-1 demonstrates superior performance in small-scale deformation identification, temporal-variation characterization, and maintaining a high density of coherent pixels. Specifically, in the time-series InSAR-based potential landslide identification, Fucheng-1 identified 13 small-scale potential landslides, whereas Sentinel-1 identified none; the number of identifications is approximately 2.17 times that of ALOS-2. For time-series subsidence monitoring, the deformation magnitudes retrieved from Fucheng-1 are generally larger than those from Sentinel-1, mainly attributable to finer spatial sampling enabled by its higher spatial resolution and a higher maximum detectable deformation gradient. Moreover, as landslide size decreases, the advantages of Fucheng-1 in deformation identification and subsidence estimation become increasingly evident. Interferometric results further show that the number of high-coherence pixels for Fucheng-1 is 7–8 times that of co-temporal Sentinel-1 and 1.1–1.4 times that of ALOS-2, providing more high-quality observations for time-series inversion and thereby supporting a more detailed and spatially continuous reconstruction of deformation fields. Meanwhile, the orbital stability of Fucheng-1 is comparable to that of Sentinel-1, and its maximum detectable deformation gradient in mountainous terrain reaches twice that of Sentinel-1. Overall, this study provides the first systematic validation of the time-series InSAR capability of Fucheng-1 under complex terrain conditions, offering essential support and a solid foundation for the operational deployment of InSAR technologies based on China’s domestic SAR satellite constellation.
Keywords: fucheng-1; TS-InSAR; DInSAR; potential landslide monitoring; performance evaluation fucheng-1; TS-InSAR; DInSAR; potential landslide monitoring; performance evaluation

Share and Cite

MDPI and ACS Style

Tang, G.; Dai, K.; Yang, F.; Ren, W.; Han, Y.; Guo, C.; Liu, T.; Feng, S.; Liu, C.; Wang, H.; et al. Time Series Analysis of Fucheng-1 Interferometric SAR for Potential Landslide Monitoring and Synergistic Evaluation with Sentinel-1 and ALOS-2. Remote Sens. 2026, 18, 304. https://doi.org/10.3390/rs18020304

AMA Style

Tang G, Dai K, Yang F, Ren W, Han Y, Guo C, Liu T, Feng S, Liu C, Wang H, et al. Time Series Analysis of Fucheng-1 Interferometric SAR for Potential Landslide Monitoring and Synergistic Evaluation with Sentinel-1 and ALOS-2. Remote Sensing. 2026; 18(2):304. https://doi.org/10.3390/rs18020304

Chicago/Turabian Style

Tang, Guangmin, Keren Dai, Feng Yang, Weijia Ren, Yakun Han, Chenwen Guo, Tianxiang Liu, Shumin Feng, Chen Liu, Hao Wang, and et al. 2026. "Time Series Analysis of Fucheng-1 Interferometric SAR for Potential Landslide Monitoring and Synergistic Evaluation with Sentinel-1 and ALOS-2" Remote Sensing 18, no. 2: 304. https://doi.org/10.3390/rs18020304

APA Style

Tang, G., Dai, K., Yang, F., Ren, W., Han, Y., Guo, C., Liu, T., Feng, S., Liu, C., Wang, H., Zhang, C., & Zhang, R. (2026). Time Series Analysis of Fucheng-1 Interferometric SAR for Potential Landslide Monitoring and Synergistic Evaluation with Sentinel-1 and ALOS-2. Remote Sensing, 18(2), 304. https://doi.org/10.3390/rs18020304

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