International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences | |
THE TRANSMISSION CHANNEL TOWER IDENTIFICATION AND LANDSLIDE DISASTER MONITORING BASED ON INSAR | |
Xie, C.^21  Li, G.^12  Tan, Q.^13  | |
[1] China Electric Power Research Institute, Beijing, China^3;Civil Engineering School, Beijing Jiaotong University, Beijing, China^1;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China^2 | |
关键词: Transmission Channel; Transmission Tower Identification; InSAR; Time Series; D-InSAR; Landslide Monitoring; | |
DOI : 10.5194/isprs-archives-XLII-3-807-2018 | |
学科分类:地球科学(综合) | |
来源: Copernicus Publications | |
【 摘 要 】
The transmission distance of transmission lines is long, the line affected by the diversity of climate and topography of the corridors of transmission lines, differences in regional geological structure conditions, variability of rock and soil types, and the complexity of groundwater. Under the influence of extreme weather conditions (ice-covered, strong wind, etc.) and sudden geological disasters (such as mudslides, flash floods, earthquakes, etc.), catastrophic damage and basic deformation problems of the tower foundations are prone, and even tower collapse accidents occur in severe cases, which affect the safe operation of transmission lines. Monitoring the deformation of power transmission towers and surrounding grounds, it is critical to ensuring the normal operation of transmission lines by assessing and controlling potential risks in advance. In this paper, using ALOS-2 PALSAR radar satellite data, differential interferometry was used to monitor surface deformation near the Sichuan Jinsu line transmission channel. The analysis found that a significant landslide hazard was found near the transmission channel tower in Yibin-Zhaotong section of Jinsu, Sichuan Province, the cumulative deformation reaches 9cm. The results of this paper can provide new monitoring means for safety monitoring of transmission towers.
【 授权许可】
CC BY
【 预 览 】
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RO201911043726712ZK.pdf | 1426KB | download |