[1] 国土之声.2017年全国地质灾害灾情及2018年地质灾害趋势预测[OL]. http://dy.163.com/v2/article/detail/D7NDC18H0514N88B.html, 2018

Voice of Land. National Geological Disasters in 2017 and Prediction of Geological Disaster Trends in 2018[OL]. http://dy.163.com/v2/article/detail/D7NDC18H0514N88B.html, 2018
[2] 自然资源部. 2018年全国地质灾害灾情及2019年地质灾害趋势预测[OL]. https://baijiahao.baidu.com/s?id=1622170215265411461&wfr=spider&for=pc, 2019

Ministry of Natural Resources. National Geological Disasters in 2018 and Prediction of Geological Disaster Trends in 2019[OL]. https://baijiahao.baidu.com/s?id=1622170215265411461&wfr=spider&for=pc, 2019
[3] 葛大庆.从滑坡形变的InSAR识别探测到监测预警[OL]. https://mp.weixin.qq.com/s/fPqzto6ZDNVqLp9PzrTACw?tdsourcetag=s_pctim_aiomsg, 2018

Ge Daqing. From InSAR Identification Detection of Landslide Deformation to Monitoring and Warning[OL]. https://mp.weixin.qq.com/s/fPqzto6ZDNVqLp9PzrTACw?tdsourcetag=s_pctim_aiomsg, 2018
[4] Xia Ye, Kaufmann H, Guo Xiaofang. Differential SAR Interferometry Using Corner Reflectors[C]. IEEE International Geoscience and Remote Sensing Symposium, Toronto, Canada, 2002
[5] 夏耶, 范景辉, 李曼, 等.高分辨率雷达数据三峡库区滑坡监测技术[C].第十八届中国遥感大会, 武汉, 2012

Xia Ye, Fan Jinghui, Li Man, et al. Landslide Monitoring Technology with High-Resolution Radar Data in the Three Gorges Reservoir Area[C]. The 18th China Symposium on Remote Sensing, Wuhan, China, 2012
[6] Liu Peng, Li Zhenhong, Hoey T, et al. Using Advanced InSAR Time Series Techniques to Monitor Landslide Movements in Badong of the Three Gorges Region, China[J]. International Journal of Applied Earth Observation and Geoinformation, 2013, 21: 253-264 doi:  10.1016/j.jag.2011.10.010
[7] Xia Ye, Kaufmann H, Guo Xiaofang. Landslide Monitoring in the Three Gorges Area Using D-InSAR and Corner Reflectors[J]. Photogrammetric Engineering & Remote Sensing, 2004, 70(10): 1 167-1 172 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=fa4e0d33a0682f20c72056afc8e5e441
[8] Singleton A, Li Zhenhong, Hoey T, et al. Evaluating Sub-pixel Offset Techniques as an Alternative to D-InSAR for Monitoring Episodic Landslide Movements in Vegetated Terrain[J]. Remote Sensing of Environment, 2014, 147: 133-144 doi:  10.1016/j.rse.2014.03.003
[9] Dai Keren, Li Zhenhong, Tomás R, et al. Monitoring Activity at the Daguangbao Mega-Landslide(China) Using Sentinel-1 TOPS Time Series Interferometry[J]. Remote Sensing of Environment, 2016, 186: 501-513 doi:  10.1016/j.rse.2016.09.009
[10] Dong Jie, Zhang Lu, Li Menghua, et al. Measuring Precursory Movements of the Recent Xinmo Landslide in Mao County, China with Sentinel-1 and ALOS-2 PALSAR-2 Datasets[J].Landslides, 2018, 15(1): 135-144 doi:  10.1007/s10346-017-0914-8
[11] Zhao Chaoying, Kang Ya, Zhang Qin, et al. Landslide Identification and Monitoring Along the Jinsha River Catchment (Wudongde Reservoir Area), China, Using the InSAR Method[J].Remote Sensing, 2018, 10(7): 993 doi:  10.3390/rs10070993
[12] Tang Yixian, Zhang Zhengjia, Wang Chao, et al. The Deformation Analysis of Wenjiagou Giant Landslide by the Distributed Scatterer Interferometry Technique[J]. Landslides, 2018, 15(2): 347-357 doi:  10.1007/s10346-017-0917-5
[13] Qu Tengteng, Lu Ping, Liu Chun, et al. Hybrid-Sar Technique: Joint Analysis Using Phase-Based and Amplitude-Based Methods for the Xishancun Giant Landslide Monitoring[J]. Remote Sensing, 2016, 8(10): 874 doi:  10.3390/rs8100874
[14] Chen Qiang, Cheng Haiqin, Yang Yinghui, et al. Quantification of Mass Wasting Volume Associated with the Giant Landslide Daguangbao Induced by the 2008 Wenchuan Earthquake from Persistent Scatterer InSAR[J]. Remote Sensing of Environment, 2014, 152: 125-135 doi:  10.1016/j.rse.2014.06.002
[15] 张路, 廖明生, 董杰, 等.基于时间序列InSAR分析的西部山区滑坡灾害隐患早期识别——以四川丹巴为例[J].武汉大学学报·信息科学版, 2018, 43(12): 2 039-2 049 http://ch.whu.edu.cn/CN/abstract/abstract6288.shtml

Zhang Lu, Liao Mingsheng, Dong Jie, et al. Early Detection of Landslide Hazards in Mountainous Areas of West China Using Time Series SAR Interferometry-A Case Study of Danba, Sichuan[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12):2 039-2 049 http://ch.whu.edu.cn/CN/abstract/abstract6288.shtml
[16] Zhao Chaoying, Zhang Qin, He Yang, et al. Small-Scale Loess Landslide Monitoring with Small Baseline Subsets Interferometric Synthetic Aperture Radar Technique—Case Study of Xingyuan Landslide, Shaanxi, China[J]. Journal of Applied Remote Sensing, 2016, 10(2): 026030 doi:  10.1117/1.JRS.10.026030
[17] Liu Xiaojie, Zhao Chaoying, Zhang Qin, et al. Multi-temporal Loess Landslide Inventory Mapping with C-, X- and L-Band SAR Datasets—A Case Study of Heifangtai Loess Landslides, China[J].Remote Sensing, 2018, 10(11): 1 756 doi:  10.3390/rs10111756
[18] Sun Qian, Hu Jun, Zhang Lei, et al. Towards Slow-Moving Landslide Monitoring by Integrating Multi-sensor InSAR Time Series Datasets: The Zhouqu Case Study, China[J]. Remote Sensing, 2016, 8(11): 908 doi:  10.3390/rs8110908
[19] 许强.构建新"三查"体系创新地灾防治新机制[OL]. http://www.zgkyb.com/yw/20180312_48669.htm, 2018

Xu Qiang. Constructing a New "Three-Check" System, Innovating New Mechanisms for Disaster Prevention and Control [OL]. http://www.zgkyb.com/yw/20180312_48669.htm, 2018
[20] 川报观察.住川全国政协委员许强: 空天地一体化破解国际难题[OL]. https://cbgc.scol.com.cn/currentaffairs/73373, 2018

Chuan Newspaper Observation. Xu Qiang, Member of the National Committee of the Chinese People's Political Consultative Conference in Sichuan: The Integration of Air and Space to Solve International Problems[OL]. https://cbgc.scol.com.cn/currentaffairs/73373, 2018
[21] 国土资源部.国土资源部关于印发《全国地质灾害防治"十三五"规划》的通知[OL]. http://www.cgs.gov.cn/tzgg/tzgg/201701/W020170103557462354074.doc, 2016

Ministry of Land and Resources. Notice of the Mi-nistry of Land and Resources on Printing and Distributing the 13th Five-Year Plan for the Prevention and Control of Geological Disasters in China[OL]. http://www.cgs.gov.cn/tzgg/tzgg/201701/W020170103557462354074.doc, 2016
[22] 新浪看点.它们比地震还"阴险", 这道难题十年未解[OL]. http://k.sina.com.cn/article_2173867535_8192960f01900d7n1.html?cre=tianyi&mod=pcpager_inter&loc=11&r=9&doct=0&rfunc=57&tj=none&tr=9, 2018

Sina Watch. They Are "Insidious" Than the Earthquake, and This Problem Has not Been Solved for Ten Years[OL]. http://k.sina.com.cn/article_2173867535_8192960f01900d7n1.html?cre=tianyi&mod=pcpager_inter&loc=11&r=9&doct=0&rfunc=57&tj=none&tr=9, 2018
[23] 葛大庆.地质灾害早期识别与监测预警中的综合遥感应用[J].城市与减灾, 2018(6): 53-60 doi:  10.3969/j.issn.1671-0495.2018.06.011

Ge Daqing. Integrated Remote Sensing Application in Early Identification, Monitoring and Early Warning of Geological Hazards[J]. City and Disaster Reduction, 2018(6): 53-60 doi:  10.3969/j.issn.1671-0495.2018.06.011
[24] 何平, 许才军, 温扬茂, 等.时序InSAR的误差模型建立及模拟研究[J].武汉大学学报·信息科学版, 2016, 41(6): 752-758 http://ch.whu.edu.cn/CN/abstract/abstract5459.shtml

He Ping, Xu Caijun, Wen Yangmao, et al. Analysis and Simulation for Time Series InSAR Error Model[J].Geomatics and Information Science of Wuhan University, 2016, 41(6): 752-758 http://ch.whu.edu.cn/CN/abstract/abstract5459.shtml
[25] Wasowski J, Bovenga F. Investigating Landslides and Unstable Slopes with Satellite Multi Temporal Interfero-metry: Current Issues and Future Perspectives[J].Engineering Geology, 2014, 174: 103-138 doi:  10.1016/j.enggeo.2014.03.003
[26] Crosetto M, Monserrat O, Cuevas-González M, et al. Persistent Scatterer Interferometry: A Review[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 115: 78-89 doi:  10.1016/j.isprsjprs.2015.10.011
[27] 地质灾害防治与地质环境保护国家重点实验室(成都理工大学).实验室与贵州省自然资源厅联合主办"重大地质灾害隐患早期识别专题研讨会"[OL]. http://www.sklgp.cdut.edu.cn/info/1018/2245.htm, 2018

State Key Laboratory of Geo-hazard Prevention and Geo-environment Protection, Chengdu University of Technology. The Laboratory and the Natural Resources Department of Guizhou Province Jointly Hosted the "Special Symposium on Early Identification of Hidden Geological Hazards"[OL]. http://www.sklgp.cdut.edu.cn/info/1018/2245.htm, 2018