Change Detection and Feature Extraction of Debris-Flow Initiation by Rock-Slope Failure Using Point Cloud Processing
Our understanding of debris-flow initiation by slope failure is restricted by the challenge of acquiring accurate geomorphic features of debris flows and the structural setting of the rock mass in the remote mountainous terrain. Point cloud data of debris flows in Sabino Canyon, Tucson, Arizona, Jul...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/6659996 |
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| author | Xiaoying He Zeqing Yu John M. Kemeny Ann Youberg Yunkun Wang |
| author_facet | Xiaoying He Zeqing Yu John M. Kemeny Ann Youberg Yunkun Wang |
| author_sort | Xiaoying He |
| collection | DOAJ |
| description | Our understanding of debris-flow initiation by slope failure is restricted by the challenge of acquiring accurate geomorphic features of debris flows and the structural setting of the rock mass in the remote mountainous terrain. Point cloud data of debris flows in Sabino Canyon, Tucson, Arizona, July 2006, with initiation by joint-controlled rock slope were obtained using multitemporal LiDAR scanning. Topographic changes were detected by comparing historical LiDAR scanning data of this area since 2005 by adopting open-source CloudCompare software. The results showed persistent scour and erosion in the debris flows after 2006. Point cloud data of joint-controlled rock in the initiation zone were generated by the means of photogrammetry using Pix4D software. The joint planes, the dip direction and the dip value of the joint plane, the joint spacing, and the joint roughness were therefore acquired by point cloud processing. Our study contributes a foundation for analyzing the relationship between the rock features, the generation of slope failure, and the initiation of debris flows. |
| format | Article |
| id | doaj-art-c8121f88162c4275a9d81d237626799f |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
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| series | Advances in Civil Engineering |
| spelling | doaj-art-c8121f88162c4275a9d81d237626799f2025-02-03T06:07:44ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/66599966659996Change Detection and Feature Extraction of Debris-Flow Initiation by Rock-Slope Failure Using Point Cloud ProcessingXiaoying He0Zeqing Yu1John M. Kemeny2Ann Youberg3Yunkun Wang4College of River and Ocean Engineering, Chongqing Jiaotong University, Chongqing 400074, ChinaCollege of River and Ocean Engineering, Chongqing Jiaotong University, Chongqing 400074, ChinaCollege of Engineering, University of Arizona, Tucson, AZ 85721, USACollege of Science, University of Arizona, Tucson, AZ 85721, USACollege of Engineering, University of Toronto, Toronto, ON M5S, CanadaOur understanding of debris-flow initiation by slope failure is restricted by the challenge of acquiring accurate geomorphic features of debris flows and the structural setting of the rock mass in the remote mountainous terrain. Point cloud data of debris flows in Sabino Canyon, Tucson, Arizona, July 2006, with initiation by joint-controlled rock slope were obtained using multitemporal LiDAR scanning. Topographic changes were detected by comparing historical LiDAR scanning data of this area since 2005 by adopting open-source CloudCompare software. The results showed persistent scour and erosion in the debris flows after 2006. Point cloud data of joint-controlled rock in the initiation zone were generated by the means of photogrammetry using Pix4D software. The joint planes, the dip direction and the dip value of the joint plane, the joint spacing, and the joint roughness were therefore acquired by point cloud processing. Our study contributes a foundation for analyzing the relationship between the rock features, the generation of slope failure, and the initiation of debris flows.http://dx.doi.org/10.1155/2021/6659996 |
| spellingShingle | Xiaoying He Zeqing Yu John M. Kemeny Ann Youberg Yunkun Wang Change Detection and Feature Extraction of Debris-Flow Initiation by Rock-Slope Failure Using Point Cloud Processing Advances in Civil Engineering |
| title | Change Detection and Feature Extraction of Debris-Flow Initiation by Rock-Slope Failure Using Point Cloud Processing |
| title_full | Change Detection and Feature Extraction of Debris-Flow Initiation by Rock-Slope Failure Using Point Cloud Processing |
| title_fullStr | Change Detection and Feature Extraction of Debris-Flow Initiation by Rock-Slope Failure Using Point Cloud Processing |
| title_full_unstemmed | Change Detection and Feature Extraction of Debris-Flow Initiation by Rock-Slope Failure Using Point Cloud Processing |
| title_short | Change Detection and Feature Extraction of Debris-Flow Initiation by Rock-Slope Failure Using Point Cloud Processing |
| title_sort | change detection and feature extraction of debris flow initiation by rock slope failure using point cloud processing |
| url | http://dx.doi.org/10.1155/2021/6659996 |
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