Landslide inventory for tropical storm Erika and Hurricane Maria – Dominica, 2015, 2017

Science Case Name Multi-hazards in the Caribbean SIDS Dataset Title Landslide inventory for tropical storm Erika and Hurricane Maria – Dominica, 2015, 2017 Dataset Description Landslide inventory in Dominica for tropical storm Erika occurred in 2015, and Hurricane Maria from 2017. This dataset is intended to calibrate and validate the flood and landslide modelling. The dataset contains four shapefiles: Landslide_Part.shp - Shapefile containing landslide extent, flash flood extents, and their attributes. Cloud.shp – Shapefile represents the cloud-filled areas in the satellite imagery where no mapping was possible. The other two shapefiles are self-explanatory. Key Methodologies The large-scale landslide inventory was carried out using five scenes of Pléiades satellite images with a resolution of 0.5m, which were obtained in September 23 and October 5 2017, and made available through UNITAR-UNOSAT. Apart from these, also a series of Digital Globe Images were used that were collected for the Google Crisis Response through a KML layer. The images were visually interpreted by image interpretation experts, and landslides were mapped as polygons, separating scarp, transport and accumulation areas, and classifying the landslides into types. Earlier landslide inventories were generated in the framework of the CHARIM project (http://www.charim.net/sites/default/files/handbook/maps/DOMINICA/Landslide_susceptbility_report_Dominica.pdf). Temporal Domain 2015, 2017 Spatial Domain Dominica Key Indicators Landslide locations triggered by tropical storm Erika (2015) and Hurricane Maria (2017) Data Format A vector as Shapefile (.shp) Source Data Pléiades satellite images Accessibility https://doi.org/10.5281/zenodo.15224820 Stakeholder Relevance Relevant input for hazard mapping, physically-based modelling, and understanding hazard processes in Dominica. Limitations/Assumptions NA Additional Information NA Contact Information Bout, Bastian van den (University of Twente, Faculty of Geo-information Science and Earth Observations -ITC-)