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Lidar-derived closed depression vector data and density raster in karst areas of Monroe County, West Virginia

Dates

Publication Date
Start Date
2018
End Date
2021

Citation

Cox, C.L., and Doctor, D.H., 2021, Lidar-derived closed depression vector data and density raster in karst areas of Monroe County, West Virginia: U.S. Geological Survey data release, https://doi.org/10.5066/P9O85K6T.

Summary

Monroe County in southeastern West Virginia hosts world-class karst within carbonate units of Mississippian and Ordovician age. Lidar-derived elevation data acquired in late December of 2016 were used to create a 3-meter resolution working digital elevation model (DEM), from which surface depressions were identified using a semi-automated workflow in ArcGIS®. Depressions in the automated inventory were systematically checked by a geologist within a grid of 1.5 square kilometer tiles using aerial imagery, lidar-derived imagery, and 3D viewing of the lidar imagery. Distinguishing features such as modification by human activities or hydrological significance (stream sink, ephemerally ponded, etc.) were noted wherever relevant to a particular [...]

Contacts

Point of Contact :
Daniel H Doctor
Originator :
Cheyenne L Cox, Daniel H Doctor
Metadata Contact :
Cheyenne L Cox
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Florence Bascom Geoscience Center
USGS Mission Area :
Core Science Systems

Attached Files

Click on title to download individual files attached to this item.

MonroeCo_child_items_metadata.zip 15.75 KB application/zip
MonroeCo_WV_sinkholes_geodatabase.zip 11.31 MB application/zip
MonroeCo_WV_sinkholes_metadata.xml
Original FGDC Metadata

View
15.33 KB application/fgdc+xml
MonroeCo_WV_sinkholes_shapefiles.zip 7.75 MB application/zip

Purpose

The purpose of these digital data is to provide locations, geometric form parameters, and density of closed depressions (sinkholes) in karst areas of Monroe County, West Virginia to be used in land use and water resource management decisions.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9O85K6T

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