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Map data from landslides triggered by Hurricane Maria in three study areas in the Lares Municipality, Puerto Rico

Dates

Publication Date
Start Date
2017-10-09
End Date
2017-10-15

Citation

Einbund, M.M., Baxstrom, K.S., and Schulz, W.H., 2021, Map data from landslides triggered by Hurricane Maria in four study areas in the Lares Municipality, Puerto Rico: U.S. Geological Survey data release, https://doi.org/10.5066/P9EASZZ7.

Summary

In late September 2017, intense precipitation associated with Hurricane Maria caused extensive landsliding across Puerto Rico. Much of the Lares municipality in central-western Puerto Rico was severely impacted by landslides. Landslide density in this region was mapped as greater than 25 landslides/km2 (Bessette-Kirton et al., 2019). In order to better understand the controlling variables of landslide occurrence and runout in this region, three 2.5-km2 study areas were selected and all landslides within were mapped in detail using remote-sensing data. Included in the data release are five separate shapefiles: geographic areas representing the mapping extent of the four distinct areas (map areas, filename: map_areas), initiation location [...]

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Metadata_all.xml
“Summary Metadata File”
Original FGDC Metadata

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64.43 KB application/fgdc+xml
AttributeDescriptionCSV.csv 10.72 KB text/csv
AttributeDescription.docx
“Description of Attributes”
25.47 KB application/vnd.openxmlformats-officedocument.wordprocessingml.document
DataRelease.zip 1.18 MB application/zip

Purpose

The purpose of this mapping was to characterize landslides triggered by Hurricane Maria in the Lares municipality of Puerto Rico. Landslides were mapped in three, 2.5 square kilometer study areas in Lares which included landslides mapped in both the upland plateau and steep dissected terrains to compare the role of regional geomorphology. From the mapping, spatial data was extracted with the goal of characterizing source and affected area geometries, geomorphic and topographic settings, and the relationships between the variables.

Additional Information

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DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9EASZZ7

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