Early Identification of Serious Geological Hazards with Integrated Remote Sensing Technologies: Thoughts and Recommendations

被引：0
|
作者：
Ge D. [1 ]
Dai K. [2 ,3 ]
Guo Z. [1 ]
Li Z. [4 ]
机构：
[1] China Areo Geophysical Survey & Remote Sensing Center for Natural Resource, Beijing
[2] State Key Laboratory of Geohazard Prevention and Geoenviroment Protection, Chengdu University of Technology, Chengdu
[3] College of Earth Sciences, Chengdu University of Technology, Chengdu
[4] School of Engineering, Newcastle University, Newcastle upon Tyne
来源：
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | 2019年 / 44卷 / 07期
基金：
中国国家自然科学基金;
关键词：
three forms" observation; Early identification; InSAR; Integrated remote sensing technologies; Serious geological hazards;
D O I：
10.13203/j.whugis20190094
中图分类号：
学科分类号：
摘要：
Since 2017, many serious geological disasters have been reported, including the 2017 mountain collapse at high altitudes in Xinmo Village in Mao County, Sichuan Province, and the 2018 Baige landslide in Jinsha River, most of which are of great destructive power and hard to detect in advance. It is worth noting that although the geohazard prevention has been carried out extensively across the whole country which is supported by the state, many of these geological disasters occur outside the potential geohazard points estimated in advance. The early identification of these undetectable geohazards points remains a big challenge and a crucial task in current geohazard prevention work. In this paper, the characteristics of interferometric synthetic aperture radar (InSAR) and its inherited limitations are summarized. Based on the integrated remote sensing technologies (including optical, SAR/InSAR and LiDAR), the key observation concept with three forms "morphology, deformation, situation" is proposed. Through the integration of a range of remote sensing technologies, the locations of potential geohazards will be identified qualitatively, and their associated movements will be monitored quantitatively. Finally, a series of thoughts and recommendations are provided to guide our future work for the early detection of serious geological hazards. © 2019, Research and Development Office of Wuhan University. All right reserved.
引用
收藏
页码：949 / 956
页数：7
相关论文
共 27 条
  • [1] National Geological Disasters in 2017 and Prediction of Geological Disaster Trends in 2018, (2018)
  • [2] National Geological Disasters in 2018 and Prediction of Geological Disaster Trends in 2019, (2019)
  • [3] Ge D., From InSAR Identification Detection of Landslide Deformation to Monitoring and Warning, (2018)
  • [4] Xia Y., Kaufmann H., Guo X., Differential SAR Interferometry Using Corner Reflectors, IEEE International Geoscience and Remote Sensing Symposium, (2002)
  • [5] Xia Y., Fan J., Li M., Et al., Landslide Monitoring Technology with High-Resolution Radar Data in the Three Gorges Reservoir Area, The 18th China Symposium on Remote Sensing, (2012)
  • [6] Liu P., Li Z., Hoey T., Et al., Using Advanced InSAR Time Series Techniques to Monitor Landslide Movements in Badong of the Three Gorges Region, China, International Journal of Applied Earth Observation and Geoinformation, 21, pp. 253-264, (2013)
  • [7] Xia Y., Kaufmann H., Guo X., Landslide Monitoring in the Three Gorges Area Using D-InSAR and Corner Reflectors, Photogrammetric Engineering & Remote Sensing, 70, 10, pp. 1167-1172, (2004)
  • [8] Singleton A., Li Z., Hoey T., Et al., Evaluating Sub-pixel Offset Techniques as an Alternative to D-InSAR for Monitoring Episodic Landslide Movements in Vegetated Terrain, Remote Sensing of Environment, 147, pp. 133-144, (2014)
  • [9] Dai K., Li Z., Tomas R., Et al., Monitoring Activity at the Daguangbao Mega-Landslide(China) Using Sentinel-1 TOPS Time Series Interferometry, Remote Sensing of Environment, 186, pp. 501-513, (2016)
  • [10] Dong J., Zhang L., Li M., Et al., Measuring Precursory Movements of the Recent Xinmo Landslide in Mao County, China with Sentinel-1 and ALOS-2 PALSAR-2 Datasets, Landslides, 15, 1, pp. 135-144, (2018)
123