Global Pasture Watch - Annual livestock headcount maps for cattle, goats, sheep and horses at 1-km 2000–2022 (FAOSTAT-adjusted)
Creators
- 1. OpenGeoHub Foundation
-
2.
German Centre for Integrative Biodiversity Research
- 3. OpenGeoHub foundation
- 4. Envirometrix Ltd
- 5. IIASA
-
6.
International Institute for Applied Systems Analysis
-
7.
Vrije Universiteit Amsterdam
-
8.
University of Ljubljana
-
9.
Cornell University
- 10. German Centre For Integrtaive Biodiversity Research (iDiv) Halle-Jena-Leipzig
-
11.
Food and Agriculture Organization of the United Nations
-
12.
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.
Related resources
- Maps of livestock headcount for 2000—2022 (FAOSTAT-adjusted):
All animals - Maps of livestock density for 2000—2022 (including prediction interval):
Cattle Goat Sheep Horse - 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
Files
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Files
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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