High-Resolution Land Cover Maps of Lāna‘i, Hawai‘i, 2020 - Species Specific Classes

Description

This raster depicts the distribution of 15 species-specific vegetation classes across the island of Lāna‘i at 2m resolution. It represents the final selected neural network model predictions with expert-adjusted posterior probabilities. Each pixel is assigned to the most likely species-specific class based on the model. Overall and class-specific accuracy assessments indicate this map has generally over 95% accuracy. It provides detailed species-level vegetation mapping to support conservation planning and monitoring. Please note that to reduce the inherent 'salt and pepper' noise in the final land cover classification map, we applied a 3x3 pixel moving window majority filter to the final classification results.

Resources

Name Format Description Link
55 Landing page for access to the data https://doi.org/10.5066/P94TS6W6

Tags

  • climatologymeteorologyatmosphere
  • biota
  • pacific-islands
  • hawaii
  • land-cover
  • usgs-655ec49ed34e3aa43a43b66f
  • lnai
  • conservation
  • hawaiian-islands
  • vegetation
  • remote-sensing
  • invasive-species
  • mapping
  • machine-learning

Topics

Categories