High-Resolution Land Cover Maps of Lāna‘i, Hawai‘i, 2020 - Ground Control Polygons
This data set consists of ground control polygons used for model training and evaluation (ground_control_polygons.gpkg): This dataset consists of refined vegetation polygons digitized across the island of Lāna‘i representing the 15 land cover classes of interest. High-resolution aerial imagery and extensive field experience were used to iteratively collect and improve the polygons through expert review and interpretation. The polygons were divided into a 250m grid overlaying the island to balance sample size and spatial resolution while reducing spatial autocorrelation, resulting in 1,754 smaller polygons. These polygon data served as the primary dataset used to train, validate, and evaluate the classification models through cross-validation. An iterative collection process aimed to achieve satisfactory model accuracy across all classes prior to final model selection and island-wide mapping.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "010:12" ] |
| contactPoint |
{ "fn": "Lucas Berio Fortini", "@type": "vcard:Contact", "hasEmail": "mailto:lfortini@usgs.gov" } |
| description | This data set consists of ground control polygons used for model training and evaluation (ground_control_polygons.gpkg): This dataset consists of refined vegetation polygons digitized across the island of Lāna‘i representing the 15 land cover classes of interest. High-resolution aerial imagery and extensive field experience were used to iteratively collect and improve the polygons through expert review and interpretation. The polygons were divided into a 250m grid overlaying the island to balance sample size and spatial resolution while reducing spatial autocorrelation, resulting in 1,754 smaller polygons. These polygon data served as the primary dataset used to train, validate, and evaluate the classification models through cross-validation. An iterative collection process aimed to achieve satisfactory model accuracy across all classes prior to final model selection and island-wide mapping. |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Digital Data", "format": "XML", "accessURL": "https://doi.org/10.5066/P94TS6W6", "mediaType": "application/http", "description": "Landing page for access to the data" }, { "@type": "dcat:Distribution", "title": "Original Metadata", "format": "XML", "mediaType": "text/xml", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.655eb4ded34e3aa43a43b658.xml" } ] |
| identifier | http://datainventory.doi.gov/id/dataset/USGS_655eb4ded34e3aa43a43b658 |
| keyword |
[ "Conservation", "Hawaiian Islands", "Hawai‘i", "Invasive species", "Land cover", "Lāna‘i", "Machine learning", "Mapping", "Pacific Islands", "Remote sensing", "USGS:655eb4ded34e3aa43a43b658", "Vegetation", "biota", "climatologyMeteorologyAtmosphere" ] |
| modified | 2025-08-12T00:00:00Z |
| publisher |
{ "name": "U.S. Geological Survey", "@type": "org:Organization" } |
| spatial | -157.0679, 20.7258, -156.7980, 20.9302 |
| theme |
[ "geospatial" ] |
| title | High-Resolution Land Cover Maps of Lāna‘i, Hawai‘i, 2020 - Ground Control Polygons |
