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Spatial Extent of Data

USGS Data Source

USGS Thesaurus Keywords

geospatial datasets, geography

ISO 19115 Topic Category

geoscientificInformation, imageryBaseMapsEarthCover

Other Subject Keywords

lakes, geospatial artificial intelligence, valleys, natural features, GeoAI, craters, bays, ridges, islands, training data, deep learning, object detection, basin

Place Keywords

Kansas, Connecticut, New Jersey, Pennsylvania, North Dakota, Indiana, Minnesota, Texas, South Dakota, Florida, West Virginia, Maine, Alaska, Mississippi, Michigan, Tennessee, Colorado, Maryland, North Carolina, United States of America, Iowa, South Carolina, Kentucky, Wyoming, Louisiana, Illinois, Hawaii, Delaware, Massachusetts, New Mexico, Nebraska, Vermont, American Samoa, Idaho, Virginia, Ohio, New York, Utah, Alabama, California, Nevada, New Hampshire, Oklahoma, Arizona, Georgia, Oregon, Arkansas, Washington, Missouri, Wisconsin, Montana

GeoNatShapes: a natural feature reference dataset for mapping and AI training

These data were compiled for the use of training natural feature machine learning (GeoAI) detection and delineation. The natural feature classes include the Geographic Names Information System (GNIS) feature types Basins, Bays, Bends, Craters, Gaps, Guts, Islands, Lakes, Ridges and Valleys, and are an areal representation of those GNIS point features. Features were produced using heads-up digitizing from 2018 to 2019 by Dr. Sam Arundel's team at the U.S. Geological Survey, Center of Excellence for Geospatial Information Science, Rolla, Missouri, USA, and Dr. Wenwen Li's team in the School of Geographical Sciences at Arizona State University, Tempe, Arizona, USA.

Get Data and Metadata
Author(s) Samantha T Arundel orcid, WenWen Li, Sizhe Wang, Arthur Chan, Nadia Ariani, Majid S. Mohamed
Publication Date 2020-06-22
Beginning Date of Data 2020
Ending Date of Data 2020
Data Contact
Samantha T Arundel
DOI https://doi.org/10.5066/P9X5BN1L
Citation Arundel, S.T., Li, W., Wang, S., Chan, A., Ariani, N., and Mohamed, M.S., 2020, GeoNatShapes: a natural feature reference dataset for mapping and AI training: U.S. Geological Survey data release, https://doi.org/10.5066/P9X5BN1L.
Metadata Contact
Samantha T Arundel
Metadata Date 2020-08-27
Related Publication
Citations of these data

Loading https://doi.org/10.1111/tgis.12633
Access public
License http://www.usa.gov/publicdomain/label/1.0/
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Harvest Source: ScienceBase
Harvest Date: 2024-07-29T04:01:24.000Z