Dominica is a geologically young, volcanic island in the eastern Caribbean. Due to its rugged terrain, substantial rainfall, and distinct soil characteristics, it is highly vulnerable to landslides. The dominant triggers of these landslides are hurricanes, tropical storms, and heavy prolonged rainfall events. These events frequently lead to loss of life and the need for a growing portion of the island’s annual budget to cover the considerable cost of reconstruction and recovery. For disaster risk mitigation and landslide risk assessment, landslide inventory and susceptibility maps are essential. Landslide inventory maps record existing landslides and include details on their type, location, spatial extent, and time of occurrence. These data are integrated (when possible) with the landslide trigger and pre-failure slope conditions to generate or validate a susceptibility map. The susceptibility map is used to identify the level of potential landslide risk (low, moderate, or high). In Dominica, these maps are produced using optical satellite and aerial images, digital elevation models, and historic landslide inventory data. This study illustrates the benefits of using satellite Interferometric Synthetic Aperture Radar (InSAR) to refine these maps. Our study shows that when using continuous high-resolution InSAR data, active slopes can be identified and monitored. This information can be used to highlight areas most at risk (for use in validating and updating the susceptibility map), and can constrain the time of occurrence of when the landslide was initiated (for use in landslide inventory mapping). Our study shows that InSAR can be used to assist in the investigation of pre-failure slope conditions. For instance, our initial findings suggest there is more land motion prior to failure on clay soils with gentler slopes than on those with steeper slopes. A greater understanding of pre-failure slope conditions will support the generation of a more dependable susceptibility map. Our study also discusses the integration of InSAR deformation-rate maps and time-series analysis with rainfall data in support of the development of rainfall thresholds for different terrains. The information provided by InSAR can enhance inventory and susceptibility mapping, which will better assist with the island’s current disaster mitigation and resiliency efforts.

中文翻译：

---

InSAR监测多米尼加滑坡活动

多米尼加是东加勒比海中一个地质年轻的火山岛。由于其崎terrain的地形，大量的降雨和独特的土壤特征，它极易遭受滑坡的影响。这些滑坡的主要诱因是飓风，热带风暴和长时间的强降雨事件。这些事件经常导致人员丧生，并且需要增加岛上年度预算的一部分来支付大量的重建和恢复费用。对于减轻灾害风险和进行滑坡风险评估，滑坡清单和敏感性图是必不可少的。滑坡清单图记录了现有的滑坡，并包括了其类型，位置，空间范围和发生时间的详细信息。这些数据（如果可能）与滑坡触发条件和故障前的斜坡条件集成在一起，以生成或验证磁化率图。敏感性图用于识别潜在的滑坡风险级别（低，中或高）。在多米尼加，这些地图是使用光学卫星和航空影像，数字高程模型以及历史滑坡清单数据制作的。这项研究说明了使用卫星干涉合成孔径雷达（InSAR）来完善这些地图的好处。我们的研究表明，当使用连续的高分辨率InSAR数据时，可以识别和监控活动斜率。此信息可用于突出显示最高风险区域（用于验证和更新磁化率图），并可以限制开始滑坡的时间（用于滑坡清单制图）。我们的研究表明，InSAR可用于协助调查故障前的斜坡条件。例如，我们的初步发现表明，坡度较缓的粘土土壤比崩裂较陡的土壤有更多的土地运动。对故障前斜坡条件的更多了解将支持生成更可靠的磁化率图。我们的研究还讨论了InSAR变形率图和时间序列分析与降雨数据的集成，以支持不同地形的降雨阈值的发展。InSAR提供的信息可以增强清单和磁化率图，