Ki-Data

Data required to run crop model

Africa soil data at 1 km resolution

Data for running and calibrating livestock model

All commonly used raster data for training DARPA models. This data was used to train the household economic model but could be applied to any number of future models. To begin...

Predictor variables for modeling crop or livestock production distribution in Ethiopia

The land cover data-set is based on the Copernicus Global Land cover map and covers 2009 to 2019 period.

The data-sets contains bioclimates, thermotypes and ombrotypes.

The data-set is based on Land Surface Forms of Africa.

The data-set is based on Terrestrial Ecosystems of Africa.

The maize suitability map was generated on Google Earth Engine platform using spatio-temporal crop climate niche mapping methodology. The range of suitability for finger millet...

The sorghum suitability map was generated on Google Earth Engine platform using spatio-temporal crop climate niche mapping methodology. The range of suitability for finger...

The wheat suitability map was generated on Google Earth Engine platform using spatio-temporal crop climate niche mapping methodology. The range of suitability for finger millet...

The barley suitability map was generated on Google Earth Engine platform using spatio-temporal crop climate niche mapping methodology. The range of suitability for finger millet...

The teff suitability map was generated on Google Earth Engine platform using spatio-temporal crop climate niche mapping methodology. The range of suitability for finger millet...

The finger millet suitability map was generated on Google Earth Engine platform using spatio-temporal crop climate niche mapping methodology. The range of suitability are based...

This is the updated population estimate for South Sudan based on payam level census. This .tif files can be used integrated with other ML models.

This is the initial model estimate for South Sudan population for 2017