Multi-Temporal InSAR Deformation Monitoring Zongling Landslide Group in Guizhou Province Based on the Adaptive Network Method
Abstract
:1. Introduction
2. Study Area and Data Source
3. Method
3.1. Robust Estimation of DS Points
3.2. Adaptive Network
3.2.1. Initial Delaunay Triangulation Network Construction
3.2.2. Selection of Seed Point and Seed Edge
3.2.3. Adaptive Expansion and Intensification of Network
3.2.4. Selection of the Skeleton Network and Network Optimization
4. Experimental Results
4.1. RADARSAT-2 Pre-Processing
4.2. PS and DS Selections
4.3. Adaptive Network Construction
4.4. Post-Processing
5. Discussion
5.1. Analysis of Robust Estimation Results
5.1.1. Temporal Coherence
5.1.2. Interferometry Phase
5.2. Adaptive Network Analysis
5.2.1. Single Point Analysis
5.2.2. Initial Network Coherence and Edge Length
5.2.3. Skeleton Network Coherence and Edge Length
5.3. Final Result of Zongling Landslide Group
6. Conclusions
7. Patents
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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k-Nearest Neighbor Network | Range Threshold Network | Delaunay Triangulation Network | Adaptive Network | |
---|---|---|---|---|
average coherence | 0.492 | 0.503 | 0.451 | 0.614 |
average edge length | 1008.72 | 325.073 | 999.63 | 74.946 |
number of edges | 25,461 | 323,341 | 6043 | 367,652 |
spatial distribution of highly coherent edges | non-uniform | non-uniform | non-uniform | uniform |
k-Nearest Neighbor Network | Range Threshold Network | Delaunay Triangulation Network | Adaptive Network | |
---|---|---|---|---|
edges number of the initial network | 25,461 | 323,341 | 6043 | 367,652 |
edges number of skeleton network | 11,505 | 191,814 | 2873 | 214,113 |
utilization of edges | 0.45 | 0.59 | 0.47 | 0.58 |
spatial connectivity of highly coherent edges | disconnected | disconnected | disconnected | connected |
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Zhu, Y.; Tian, B.; Xie, C.; Guo, Y.; Fang, H.; Yang, Y.; Wang, Q.; Zhang, M.; Shen, C.; Wei, R. Multi-Temporal InSAR Deformation Monitoring Zongling Landslide Group in Guizhou Province Based on the Adaptive Network Method. Sustainability 2023, 15, 894. https://doi.org/10.3390/su15020894
Zhu Y, Tian B, Xie C, Guo Y, Fang H, Yang Y, Wang Q, Zhang M, Shen C, Wei R. Multi-Temporal InSAR Deformation Monitoring Zongling Landslide Group in Guizhou Province Based on the Adaptive Network Method. Sustainability. 2023; 15(2):894. https://doi.org/10.3390/su15020894
Chicago/Turabian StyleZhu, Yu, Bangsen Tian, Chou Xie, Yihong Guo, Haoran Fang, Ying Yang, Qianqian Wang, Ming Zhang, Chaoyong Shen, and Ronghao Wei. 2023. "Multi-Temporal InSAR Deformation Monitoring Zongling Landslide Group in Guizhou Province Based on the Adaptive Network Method" Sustainability 15, no. 2: 894. https://doi.org/10.3390/su15020894