# Source: Biodiversity Intactness
# Type: cog
# Catalog: STACConnector
# Generated by: folia catalog import
# Generated at: 2026-02-08T00:49:08.072159+00:00
#
# Do not edit manually - will be overwritten on next import.

source:
  id: planetary-computer-io-biodiversity
  name: Biodiversity Intactness
  type: cog
  url: https://planetarycomputer.microsoft.com/api/stac/v1/collections/io-biodiversity
  description: 'Generated by [Impact Observatory](https://www.impactobservatory.com/),
    in collaboration with [Vizzuality](https://www.vizzuality.com/), these datasets
    estimate terrestrial Biodiversity Intactness as 100-meter gridded maps for the
    years 2017-2020.


    Maps depicting the intactness of global biodiversity have become a critical tool
    for spatial planning and management, monitoring the extent of biodiversity across
    Earth, and identifying critical remaining intact habitat. Yet, these maps are
    often years out of date by the time they are available to scientists and policy-makers.
    The datasets in this STAC Collection build on past studies that map Biodiversity
    Intactness using the [PREDICTS database](https://onlinelibrary.wiley.com/doi/full/10.1002/ece3.2579)
    of spatially referenced observations of biodiversity across 32,000 sites from
    over 750 studies. The approach differs from previous work by modeling the relationship
    between observed biodiversity metrics and contemporary, global, geospatial layers
    of human pressures, with the intention of providing a high resolution monitoring
    product into the future.


    Biodiversity intactness is estimated as a combination of two metrics: Abundance,
    the quantity of individuals, and Compositional Similarity, how similar the composition
    of species is to an intact baseline. Linear mixed effects models are fit to estimate
    the predictive capacity of spatial datasets of human pressures on each of these
    metrics and project results spatially across the globe. These methods, as well
    as comparisons to other leading datasets and guidance on interpreting results,
    are further explained in a methods [white paper](https://ai4edatasetspublicassets.blob.core.windows.net/assets/pdfs/io-biodiversity/Biodiversity_Intactness_whitepaper.pdf)
    entitled “Global 100m Projections of Biodiversity Intactness for the years 2017-2020.”


    All years are available under a Creative Commons BY-4.0 license.

    '
  provider: Impact Observatory
  license: CC-BY-4.0
  metadata:
    stac: true
    stac_api: true
    connector_id: planetary-computer
    tags:
    - Global
    - Biodiversity
    dataset:
      tier: 1
      thematic_group: Ecology & Biodiversity
      format: cog
      crs: EPSG:4326
      temporal:
        range: 2017-01-01/2020-12-31
        type: snapshot
        default_range: latest
      quality:
        coverage: global
      layout:
        type: tiled
      stac_collection_id: io-biodiversity
      homepage: https://planetarycomputer.microsoft.com/api/stac/v1/collections/io-biodiversity