One of the main challenges in modeling geomorphic processes like rainfall-induced landsliding is validating results with ground truth data. Puerto Rico is an ideal study site to assess the performance of landslide modeling efforts, given that tens of thousands of landslides triggered by Hurricane Maria in 2017 have been catalogued and characterized with the use of high-resolution aerial imagery and pre- and post-event LiDAR surveys. In addition, specific regions of the island have been the study site for advanced hydrologic/landslide modeling in the past (e.g., Arnone et al., 2023). The abundance of data in Puerto Rico presents an ideal opportunity to test advanced landslide modeling techniques.
USING PRE- AND POST-EVENT LIDAR DATASETS TO ASSESS ECO-HYDROLOGIC LANDSLIDE MODELING
Arnone
2023-01-01
Abstract
One of the main challenges in modeling geomorphic processes like rainfall-induced landsliding is validating results with ground truth data. Puerto Rico is an ideal study site to assess the performance of landslide modeling efforts, given that tens of thousands of landslides triggered by Hurricane Maria in 2017 have been catalogued and characterized with the use of high-resolution aerial imagery and pre- and post-event LiDAR surveys. In addition, specific regions of the island have been the study site for advanced hydrologic/landslide modeling in the past (e.g., Arnone et al., 2023). The abundance of data in Puerto Rico presents an ideal opportunity to test advanced landslide modeling techniques.| File | Dimensione | Formato | |
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