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Lidar-derived rasters of point density, elevation, and geomorphological features for 2013, 2015, and 2022 for the Greater Raleigh Area, North Carolina

Dates

Publication Date
Start Date
2013
End Date
2022

Citation

Gurley, L.N., Hopkins, K.G., and Stillwell, C.C., 2023, Lidar-derived rasters of point density, elevation, and geomorphological features for 2013, 2015, and 2022 for the Greater Raleigh Area, North Carolina: U.S. Geological Survey data release, https://doi.org/10.5066/P9V1J754.

Summary

As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey developed a suite of high-resolution lidar-derived raster datasets for the Greater Raleigh Area, North Carolina, using repeat lidar data from the years 2013, 2015, and 2022. These datasets include raster representations of digital elevation models (DEMs), DEM of difference, the ten most common geomorphons (i.e. geomorphologic feature), lidar point density, and positive topographic openness. Raster footprints vary by year based on extent of lidar data collection. All files are available as Cloud Optimized GeoTIFF, meaning they are formatted to work on the cloud or can be directly downloaded. These metrics have been developed to pair [...]

Child Items (4)

Contacts

Point of Contact :
Laura N Gurley
Process Contact :
Laura N Gurley
Originator :
Laura N Gurley, Kristina G Hopkins, Charles C Stillwell
Metadata Contact :
Laura N Gurley
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
South Atlantic Water Science Center
USGS Mission Area :
Water Resources

Attached Files

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footprint_image.png thumbnail 5.89 MB image/png
metadata.xml
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10.93 KB application/fgdc+xml

Purpose

These datasets were developed as part of a collaborative study between the U.S. Geological Survey and City of Raleigh, North Carolina, to help identify stream reaches throughout the Greater Raleigh, NC Area that may be most susceptible to streambank erosion.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9V1J754

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