Soil Moisture Prediction for Eastern Africa 1991-2023 [Part 2]: Combined and Gap-filled Random Forest Replication Files.

The attached datasets enable the prediction of soil moisture (SM) over Eastern Africa from 1991-2023. For this, the following files are provided:

1. [Available in other Dataset]: SM estimations: European Space Agency Climate Change Initiative Soil Moisture (ESA CCI SM) processed data including the active, passive, combined, and gap-filled product from 1991 to 2023.
2. [Available in other Dataset]: Predictors: El Niño Southern Oscillation (ENSO), Indian Ocean Dipole (IOD), Vegetation Optical Depth (VOD), Elevation, Slope, Aspect, MODIS Land Cover, Preciptation, Temperature, Urban Extend, and Seasonality.
3. Random Forest (RF) Replication: For each ESA CCI SM dataset (active, passive, combined, gap-filled), a parquet and pkl file is provided to analyse and replicate predicton processes. Due to upload limitations, only the combined and gap-filled are uploaded here, the active and passive are available in another database.