High resolution, annual cropland and landcover maps for selected African countries

Description

High resolution, annual cropland and landcover maps for selected African countries developed by Clark University's Agricultural Impacts Research Group using various machine learning approaches applied to Planet imagery, including field boundary and cultivated frequency maps, as well as multi-class land cover.

Update Frequency

New maps are added as developed

License

Planet NICFI participant license agreement

Documentation

https://github.com/agroimpacts/mapping-africa

Managed By

The Agricultural Impacts Research Group

See all datasets managed by The Agricultural Impacts Research Group.

Contact

mappingafrica@clarku.edu

How to Cite

High resolution, annual cropland and landcover maps for selected African countries was accessed on DATE from https://registry.opendata.aws/mapping-africa.

Usage Examples

Tutorials

• Accessing and downloading data by Rahebe Abedi
  

Publications

• A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes by Song et al. (2023)
  
• Final report-Phase 1: Creating open agricultural maps and ground truth data to better deliver farm extension services by Estes et al (2022)
  
• Final report-Phase 2: Creating next generation field boundary and crop type maps: Rigorous multi-scale groundtruth provides sustainable extension services for smallholders by Wussah et al (2022)
  
• High resolution, annual maps of field boundaries for smallholder-dominated croplands at national scales by Estes et al. (2022)