Published February 26, 2025 | Version v1
Dataset Open

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

  • 1. OpenGeoHub Foundation
  • 2. ROR icon German Centre for Integrative Biodiversity Research
  • 3. OpenGeoHub foundation
  • 4. Envirometrix Ltd
  • 5. IIASA
  • 6. ROR icon International Institute for Applied Systems Analysis
  • 7. ROR icon Vrije Universiteit Amsterdam
  • 8. ROR icon University of Ljubljana
  • 9. ROR icon Cornell University
  • 10. German Centre For Integrtaive Biodiversity Research (iDiv) Halle-Jena-Leipzig
  • 11. ROR icon Food and Agriculture Organization of the United Nations
  • 12. ROR icon World Resources Institute

Description

Global annual maps of livestock distribution of cattle, goats, sheep and horses at 1-km spatial resolution convering the period of 2000–2022. The maps were produced using harmonized and used as reference data (52,883 census polygons and 678,266 individual data points), random forest predictive models using and a large stack of multi-source harmonized gridded/raster spatial layers (307 individual raster spatial layers harmonized at 1 km spatial resolution). 

Pixels 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 maps 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.

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Additional details

Dates

Created
2025-03-03

Software

Repository URL
https://github.com/wri/global-pasture-watch
Programming language
Python
Development Status
Active