Baseline assessment of soil and land health indicators within the 'Drylands Transform' and 'Drylands Restore' sites in Kenya and Uganda using the LDSF

These data were collected within the research projects 'Achieving the SDGs in East African drylands: Pathways and challenges towards a social-ecological transformation of landscapes, livestock and livelihoods (Drylands Transform)' and 'Management and restoration towards healthy rangelands in East Africa (Drylands Restore)' led by SLU and funded by the Swedish Research Council for Sustainable Development - Formas. The data were collected using the Land Degradation Surveillance Framework (LDSF) methodology developed by ICRAF (http://landscapeportal.org/blog/2015/03/25/the-land-degradation-surveillance-framework-ldsf/). This dataset contains LDSF field data from five LDSF sites - three in Kenya (Chepareria, Kalama and Lokiriama) and two in Uganda (Matany and Rupa) - totalling 778 LDSF plots. It also contains the predictions using MIR Spectroscopy for 1515 Topsoil (0-20cm) and Subsoil (20-50cm) samples for eleven soil variables, including soil organic carbon, total nitrogen and pH.