High-Resolution Land Cover Maps of Lāna‘i, Hawai‘i, 2020 - Class Probability Stack

This raster stack contains 15 probability layers representing the pixel-level predicted probability of membership in each species-specific vegetation class from 0 to 1. These probability layers can be used to generate class membership uncertainty maps or probabilistic class cover maps from the model outputs. They provide additional information beyond the discrete categorial land cover assignments.

Data e Risorse

Campo Valore
accessLevel public
bureauCode {010:12}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://ddi.doi.gov/usgs-data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier http://datainventory.doi.gov/id/dataset/usgs-655eb6f7d34e3aa43a43b663
metadata_type geospatial
modified 2025-08-12T00:00:00Z
old-spatial -157.0679, 20.7258, -156.7980, 20.9302
publisher U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 655ce5aa64e8533a788bd48f02ad517b6986032465a495e1b8a4675c33b31ddc
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-157.0679, 20.7258], [-157.0679, 20.9302], [ -156.7980, 20.9302], [ -156.7980, 20.7258], [-157.0679, 20.7258]]]}
theme {geospatial}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • biota
  • climatologymeteorologyatmosphere
  • conservation
  • hawaii
  • hawaiian-islands
  • invasive-species
  • lanai
  • land-cover
  • machine-learning
  • mapping
  • pacific-islands
  • remote-sensing
  • usgs-655eb6f7d34e3aa43a43b663
  • vegetation
isopen False
license_id notspecified
license_title License not specified
maintainer Lucas Berio Fortini
maintainer_email lfortini@usgs.gov
metadata_created 2025-09-23T15:31:30.599916
metadata_modified 2025-09-23T15:31:30.599922
notes This raster stack contains 15 probability layers representing the pixel-level predicted probability of membership in each species-specific vegetation class from 0 to 1. These probability layers can be used to generate class membership uncertainty maps or probabilistic class cover maps from the model outputs. They provide additional information beyond the discrete categorial land cover assignments.
num_resources 1
num_tags 22
title High-Resolution Land Cover Maps of Lāna‘i, Hawai‘i, 2020 - Class Probability Stack