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Geomorphon rasters for the Greater Raleigh Area, North Carolina

Metadata Updated: October 29, 2023

Rasters of the ten most common geomorphic landscape forms (geomorphons) were developed with 1-meter resolution for the Greater Raleigh, NC Area, based on 1-meter high-resolution lidar-derived digital elevation models representing the years 2013, 2015, and 2022. The ten geomorphons include the landscape forms representing peaks, ridges, shoulders, spurs, slopes, hollows, footslopes, valleys, pits, and flat areas. All files are available as Cloud Optimized GeoTIFF image file format, meaning they are formatted to work on the cloud or can be directly downloaded.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/f78350f48e753d26b63abb77e559a35f
Identifier USGS:63b57facd34e92aad3caa27a
Data Last Modified 20230411
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 2020ecd6-54d0-401a-80fa-ec6e0e2c55d4
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -78.8726,35.6924,-78.439,36.0404
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash a1f50e4514867da60fa12fa09708aa4f5c0ad4cb0b5127eab0b23303713498b9
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -78.8726, 35.6924, -78.8726, 36.0404, -78.439, 36.0404, -78.439, 35.6924, -78.8726, 35.6924}

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