Predicted Soil Erosion and Nutrient Fluxes for Kenya at 30-Meter Resolution

Three multi-band raster GeoTiff files provide modeled predictions for Kenya at 30-meter resolution. The dataset contains predicted soil erosion rates, topsoil lifespans, and flux rates of soil organic carbon, nitrogen, and phosphorus. It was produced by the Environmental Information Data Centre and last updated in March 2026.

Use Cases

• Analyze spatial patterns of predicted soil erosion rates (t ha-1 yr-1) across Kenya to identify high-risk regions.
• Compare topsoil lifespans (yr) under current conditions versus sixteen mitigation scenarios in the Mitigation_scenarios.tif file.
• Model nutrient loss by correlating flux rates of soil organic carbon (t SOC ha-1 yr-1), nitrogen, and phosphorus with land cover from the LC16_Results.tif.
• Assess the impact of land cover change using predictions generated under the Potential Natural Vegetation cover map in the PNV_Results.tif file.

Strengths

• High spatial resolution of 30 meters for detailed regional analysis across Kenya.
• Includes sixteen distinct mitigation scenarios for evaluating intervention impacts.
• Provides multiple modeled outputs: erosion rates, nutrient fluxes, and topsoil lifespans in three structured raster files.

Limitations

• Predictions are based on modeled assumptions, not direct field measurements, which may introduce uncertainty.
• Topsoil lifespan calculations assume constant erosion rates and no soil replacement, a simplification of real-world dynamics.
• Data is specific to Kenya, limiting direct applicability to other geographic regions without similar modeling.

Provenance

Source

Environmental Information Data Centre

Collection Method

Model predictions generated under the 2016 Copernicus Land Cover Map and a Potential Natural Vegetation cover map for East Africa.

Time Range

null

Freshness

Last updated March 2026.

Geography

Kenya