Data on spatial and temporal modelling of soil water storage in the Guinea savannah zone of Northern Ghana

2022

English

In this article, we present the space-time variability of soil moisture (SM) and soil water storage (SWS) from key agri- cultural benchmark soil types measured across the Guinea savannah zone of Ghana ( n ≈2,0 0 0 measurements) in a sin- gle cropping season (Nketia et al., 2022). From 36 locations, SM measurements were obtained with a PR2/60 moisture probe calibrated for a 0–100 cm soil depth interval (at six depths). We further introduce a new pedotransfer model that was developed in deriving the SWS for the same depth in- terval of 0–100 cm. Assessing information on the space-time variability of SM and SWS is essential for agricultural inten- sification effort s, especially in semi-arid landscapes of sub- Saharan Africa (SSA), where there is the need and the po- tential to increase food-crop production. This dataset spans the main topographic units of the Guinea savannah zone and covers dominant vegetation types and land uses of the region, which is similar to most parts of West Africa. The comprehensive dataset and the customized machine learning models can be used to support crop production with respect to water management and optimized agricultural resource al-

Nketia, K. A.; Asabere, S. B.; Sauer, D.