type: raster
description: >
  Annual tree cover loss data from 2001-present at 30m resolution, derived from
  Landsat imagery. Cloud-hosted as COG on earth-search STAC. Core dataset for
  deforestation monitoring, EUDR compliance, and TNFD forest-related metrics.
uri: stac://earth-search/umd-hansen-global-forest-change
source:
  origin: https://glad.umd.edu/dataset/global-forest-change
  format: cog
  auth: none
geo:
  bbox: [-180.0, -80.0, 180.0, 80.0]
  crs: EPSG:4326
style:
  renderer: maplibre
  palette: forest_loss
  opacity: 0.7
  info:
    fields: [lossyear, treecover2000]
    section: Forest Change
metadata:
  provider: University of Maryland / Global Forest Watch (WRI)
  license: CC-BY-4.0
  tags: [forest, deforestation, loss, tnfd, eudr, gfw, hansen]
  stac_collection_id: umd-hansen-global-forest-change
  dataset:
    tier: 1
    thematic_group: forestry
    format: cog
    resolution: 30m
    crs: EPSG:4326
    bands:
      - id: lossyear
        description: Year of tree cover loss (1-23 = 2001-2023, 0 = no loss)
        dtype: uint8
        unit: year_offset
        nodata: 0.0
      - id: treecover2000
        description: Tree cover in year 2000 (0-100%)
        dtype: uint8
        unit: percent
        nodata: 0.0
    quality:
      methodology: "Landsat time-series analysis (Hansen et al. 2013, Science)"
      accuracy: 30m resolution; >80% overall accuracy for tree cover loss detection
      coverage: global
      limitations:
        - 30m resolution may miss small-scale clearing
        - Loss detection only (no gain before v1.11)
        - "Definition of 'forest' is >25% canopy cover at 30m"
    temporal:
      range: "2000/2023"
      frequency: annual
      type: time_series
    format_details:
      type: cog
      valid_cog: true
      bounds: [-180.0, -80.0, 180.0, 80.0]
    homepage: https://glad.umd.edu/dataset/global-forest-change
    doi: "10.1126/science.1244693"
    citation: "Hansen, M.C., et al. (2013) Science 342(6160):850-853"
    stac_collection_id: umd-hansen-global-forest-change
