Abstract
Xiaojiang River basin is located at Xiaojiang fault zone, southwest of China. At present, the valley is at a maturity of geomorphic evolution, and there are intense in tectonic activities. Because of soil erosion, rock fragmentation and vegetation degradation, multifarious geo-hazards (e.g. collapse, landslide and debris flow) occur frequently in the valley. SBAS-InSAR is an advanced remote sensing technique that can monitor surface deformation in a wide range, and applicable to the vast majority of geo-hazards investigation. In the article, the surface deformation in Xiaojiang valley was estimated by SBAS-InSAR and 46 descending Sentinel-1 SAR data (from October 2014 to May 2018). It shows that a weak deformation with the velocity from −15 to 5 mm/yr was ubiquitous throughout the valley. Prominent deformation concentration zones were detected in the typical debris flow gullies. The area with the fastest deformation velocity was distributed on the southern landslide of Shawan gully, velocity reaching −120.2405 mm/yr. Slope deformation also occurred in Jiangjia gully, Dabaini gully and Xiaobaini gully with different tendencies.
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References
Chen, J., Wei, F., Cui, P.: Restricting conditions and their characteristics for debris flow fans in Xiaojiang valley. Scientia Geographica Sinica 25(6), 704–708 (2005)
You, Y., Liu, J., Qu, G., Pan, H.: The hydraulic characteristics in compound channels of viscous debris flow: a case study on the Dabaini debris flow gully in Xiaojiang Basin of Yunnan Province, China. In: IEEE International Geoscience and Remote Sensing Symposium, pp. 4679–4682 (2008)
Ren, Z.: Geometry and deformation features of the most recent co-seismic surface ruptures along the Xiaojiang Fault and its tectonic implications for the Tibetan Plateau. J. Asian Earth Sci. 77, 21–30 (2013)
Berardino, P., Fornaro, G., Lanari, R., Sansosti, E.: A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Trans. Geosci. Remote Sens. 40(11), 2375–2383 (2003)
Tong, X., Schmidt, D.: Active movement of the Cascade landslide complex in Washington from a coherence-based InSAR time series method. Remote Sens. Environ. 186, 405–415 (2016)
Du, R., Kang, Z., Wu, J.: Demonstration study to the law of formation, development, movement and the comprehensive treatment of mud-rock flow in Dongchuan, Yunnan Province. J. Geol. Hazard Control 1(3), 71–77 (1990)
Guo, L., Wang, D., Sun, X., Chen, D., Chen, X.: Fine root distribution pattern of different aged Leucaena leucocephala trees in debris flow source area in Jiangjia Gully, China. J. Mt. Sci. 11(4), 941–949 (2014)
André, T., Cao, W., Simon, P., Martinis, S.: Sentinel-1-based flood mapping: a fully automated processing chain. Int. J. Remote Sens. 37, 2990–3004 (2016)
Mora, O., Mallorqui, J.J., Broquetas, A.: Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images. IEEE Trans. Geosci. Remote Sens. 41(10), 2243–2253 (2003)
Acknowledgements
This research was supported by the Natural Science Foundation of China (Grant No. 41861054). Sentinel-1 SAR data can be freely download from https://scihub.copernicus.eu/. The SRTM DEM can be freely downloaded from http://srtm.csi.cgiar.org/srtmdata/.
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Zhang, J., Gan, S., Yuan, X. (2020). Slope Deformation Investigation on Typical Debris Flow Gullies of Xiaojiang River Basin Through SBAS-InSAR. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1075. Springer, Cham. https://doi.org/10.1007/978-3-030-32591-6_84
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DOI: https://doi.org/10.1007/978-3-030-32591-6_84
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