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Remote Sensing
Volume 17
Issue 8
10.3390/rs17081462
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Remote Sensing-Based Detection and Analysis of Slow-Moving Landslides in Aba Prefecture, Southwest China

by
Juan Ren
1,2,
Wunian Yang
1,*,
Zhigang Ma
2,
Weile Li
3,
Shuai Zeng
2,
Hao Fu
2,
Yan Wen
2 and
Jiayang He
2
1
College of Earth and Planetary Sciences, Chengdu University of Technology, Chengdu 610059, China
2
Sichuan Institute of Land and Space Ecological Restoration and Geological Hazard Prevention, Chengdu 610081, China
3
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(8), 1462; https://doi.org/10.3390/rs17081462
Submission received: 26 February 2025 / Revised: 16 April 2025 / Accepted: 16 April 2025 / Published: 19 April 2025
(This article belongs to the Section Engineering Remote Sensing)
Versions Notes

Abstract

Aba Tibetan and Qiang Autonomous Prefecture (Aba Prefecture), located in Southwest China, has complex geological conditions and frequent seismic activity, facing an increasing landslide risk that threatens the safety of local communities. This study aims to improve the regional geohazard database by identifying slow-moving landslides in the area. We combined Stacking Interferometric Synthetic Aperture Radar (Stacking-InSAR) technology for deformation detection, optical satellite imagery for landslide boundary mapping, and field investigations for validation. A total of 474 slow-moving landslides were identified, covering an area of 149.84 km2, with landslides predominantly concentrated in the river valleys of the southern and southeastern regions. The distribution of these landslides is strongly influenced by bedrock lithology, fault distribution, topographic features, proximity to rivers, and folds. Additionally, 236 previously unknown landslides were detected and incorporated into the local geohazard database. This study provides important scientific support for landslide risk management, infrastructure planning, and mitigation strategies in Aba Prefecture, offering valuable insights for disaster response and prevention efforts.
Keywords: Aba Prefecture; slow-moving landslide; remote sensing; detection; spatial analysis; geohazard database Aba Prefecture; slow-moving landslide; remote sensing; detection; spatial analysis; geohazard database

Share and Cite

MDPI and ACS Style

Ren, J.; Yang, W.; Ma, Z.; Li, W.; Zeng, S.; Fu, H.; Wen, Y.; He, J. Remote Sensing-Based Detection and Analysis of Slow-Moving Landslides in Aba Prefecture, Southwest China. Remote Sens. 2025, 17, 1462. https://doi.org/10.3390/rs17081462

AMA Style

Ren J, Yang W, Ma Z, Li W, Zeng S, Fu H, Wen Y, He J. Remote Sensing-Based Detection and Analysis of Slow-Moving Landslides in Aba Prefecture, Southwest China. Remote Sensing. 2025; 17(8):1462. https://doi.org/10.3390/rs17081462

Chicago/Turabian Style

Ren, Juan, Wunian Yang, Zhigang Ma, Weile Li, Shuai Zeng, Hao Fu, Yan Wen, and Jiayang He. 2025. "Remote Sensing-Based Detection and Analysis of Slow-Moving Landslides in Aba Prefecture, Southwest China" Remote Sensing 17, no. 8: 1462. https://doi.org/10.3390/rs17081462

APA Style

Ren, J., Yang, W., Ma, Z., Li, W., Zeng, S., Fu, H., Wen, Y., & He, J. (2025). Remote Sensing-Based Detection and Analysis of Slow-Moving Landslides in Aba Prefecture, Southwest China. Remote Sensing, 17(8), 1462. https://doi.org/10.3390/rs17081462

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