Dataset
To predict groundwater depth in the Zinder region of Niger to identify suitable areas for manual well drilling.
Manual and low-tech well drilling techniques have potential to assist in reaching the United Nations' millennium development goal for water in sub-Saharan Africa.
Data contains the soil sample ID, elevation, groundwater table depth, temperature, rock type, soil composition, distance, vegetation index, and other details.
This dataset was collected using remote sensing, laboratory analysis and regression modeling.