Global Pasture Watch - Annual livestock headcount layers for cattle, goats, sheep, horses, and buffaloes at 1-km 2000–2022 (FAOSTAT-adjusted) (Part-1)

Global annual layers of livestock distribution of cattle, goats, sheep, horses and buffaloes at 1-km spatial resolution convering the period of 2000–2022. The layers were produced using harmonized and used as reference data (55,336 census polygons and 939,257 individual data entries), random forest predictive models and a large stack of multi-source harmonized gridded/raster spatial layers (128 individual raster spatial layers harmonized at 1 km spatial resolution).

Raster cell values represent number of livestock animals (headcounts) calibrated according to FAOSTAT database. The adjustment was applied individually to each country, ensuring that the adjusted pixel values accurately reflected the national totals. For applications relying on headcount data from FAOSTAT the provided layers serve as a fully compatible alternative.

In line with a request from our funders, livestock maps will remain under embargo in Zenodo until the final acceptance of peer-reviewed publication. They can be accessed during the reviewing process by filling-in a form via Global Pasture Watch Early Access data program (https://survey.alchemer.com/S3/7859804/Pasture-Early-Adopters). All modeling framework presented in this work is publicly available at: https://github.com/wri/global-pasture-watch. We are currently preparing the data to be ingested in STAC and Google Earth Engine.

Related resources

• Maps of livestock headcount for 2000—2022 (FAOSTAT-adjusted):
  All animals (Part-1)  All animals (Part-2)
• Maps of livestock density for 2000—2022 (including 95% prediction interval):
  Cattle  Goats   Sheep  Horses Buffaloes
• Livestock reference census data (2000–2022):
  CSV and GeoPackage files
• Maps potential land for livestock production for 2000—2022 (including production systems)
  Raster files
• Data catalogues:
  OpenLandMap STAC Google Earth Engine