As a member of the International Consortium on Landslides, the University of Alberta is actively working to improve technologies for monitoring natural hazards. Though ground-based, interferometric, synthetic aperture radar (GB-InSAR) has been successfully implemented for near real-time monitoring of natural and man-made slopes, it has seen limited use in Canada outside of the mining industry. This lack of adoption in the rural areas of Canada is due to difficulties associated with providing continuous power to remote sites, other logistical challenges, and concerns with the impact of snow cover on the data collected. This paper presents the results of a project to install a GB-InSAR system to monitor a 2 to 3 million m 3 bedrock landslide with a measured average rate of displacement of ~ 10 mm/year. The site is characterized by long periods of deep snow cover, cold temperatures, no connection to the electrical grid, and a location within a steep valley that limits hours of daylight for solar power. Challenges with, and solutions developed for, the deployment of GB-InSAR equipment at this site are described, and the results of the monitoring program are validated with existing geotechnical instrumentation.

中文翻译：

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GB-InSAR监测偏远山区植被和积雪斜坡

作为国际滑坡联盟的成员，阿尔伯塔大学正在积极致力于改进监测自然灾害的技术。尽管陆基干涉合成孔径雷达 (GB-InSAR) 已成功应用于对天然和人造斜坡的近实时监测，但它在加拿大的采矿业以外的使用有限。加拿大农村地区缺乏采用的原因是为偏远地区提供持续供电的困难、其他后勤挑战以及对积雪对收集到的数据的影响的担忧。本文介绍了安装 GB-InSAR 系统以监测 2 至 300 万米 3 基岩滑坡的项目结果，测得的平均位移速率约为 10 毫米/年。该地点的特点是长期积雪深厚、温度低、没有连接到电网，并且位于陡峭的山谷中，限制了太阳能的日照时间。描述了在该站点部署 GB-InSAR 设备所面临的挑战和开发的解决方案，并使用现有的岩土工程仪器验证了监测计划的结果。