Ridgelines: Department of Interior Definition
This dataset represents ridgelines as defined by the Department of Interior (DOI): "Areas within 660 feet of the top of the ridgeline, where a ridgeline has at least 150 feet of vertical elevation gain with a minimum average slope of 10 percent between the ridgeline and the base." The dataset was created using the Geomorphons package from the University of Guelph, which can be found here: Geomorphons Package, and the 3DEP 1/3 arc-second digital elevation model. A TIF data file and a PNG map of the data are provided.
Citation Formats
National Renewable Energy Laboratory (NREL). (2024). Ridgelines: Department of Interior Definition [data set]. Retrieved from https://dx.doi.org/10.25984/2441177.
Geospatial Data Science, NREL. Ridgelines: Department of Interior Definition. United States: N.p., 01 Jan, 2024. Web. doi: 10.25984/2441177.
Geospatial Data Science, NREL. Ridgelines: Department of Interior Definition. United States. https://dx.doi.org/10.25984/2441177
Geospatial Data Science, NREL. 2024. "Ridgelines: Department of Interior Definition". United States. https://dx.doi.org/10.25984/2441177. https://data.openei.org/submissions/6138.
@div{oedi_6138, title = {Ridgelines: Department of Interior Definition}, author = {Geospatial Data Science, NREL.}, abstractNote = {This dataset represents ridgelines as defined by the Department of Interior (DOI): "Areas within 660 feet of the top of the ridgeline, where a ridgeline has at least 150 feet of vertical elevation gain with a minimum average slope of 10 percent between the ridgeline and the base." The dataset was created using the Geomorphons package from the University of Guelph, which can be found here: Geomorphons Package, and the 3DEP 1/3 arc-second digital elevation model. A TIF data file and a PNG map of the data are provided.}, doi = {10.25984/2441177}, url = {https://data.openei.org/submissions/6138}, journal = {}, number = , volume = , place = {United States}, year = {2024}, month = {01}}
https://dx.doi.org/10.25984/2441177
Details
Data from Jan 1, 2024
Last updated Sep 30, 2024
Submitted Jul 23, 2024
Organization
National Renewable Energy Laboratory (NREL)
Contact
NREL Geospatial Data Science
Authors
Research Areas
Keywords
Wind, Solar, Terrain, Land-based Wind, Siting Lab, ridgelines, data, dataset, DOI, Department of Interior, solar power, wind energy, PNG, TIF, Geomorphons, SitingLab, physical constraints, characterization, exclusionDOE Project Details
Project Name Spatial Analysis for Wind Technology Development
Project Number 34877
