Include: Soil suitability for irrigation

Seamless and robust derivative of SWB, Double-Lined River, and Inshore Island Features from SRTM-SWBD data tiles. Data source: NASA Surface Water Body Database. Highest resolution water body and coastal mask of Africa

As part of the the World Bank's review of its rural development strategy, the Bank sought the assistance of the Food and Agriculture Organization of the United Nations (FAO) in evaluating how farming systems might change and adapt over the next thirty years. Amongst other objectives, the World Bank asked FAO to provide guidance on priorities for investment in food security, poverty reduction, and economic growth, and in particular to identify promising approaches and technologies that will contribute to these goals. The results of the study are summarized in a set of seven documents, comprising six regional reports and the global overview contained in this volume. This document, which synthesises the results of the six regional analyses as well as discussing global trends, cross-cutting issues and possible implementation modalities, presents an overview of the complete study. This document is supplemented by two case study reports of development issues of importance to farming systems globally.

Derived from 1:250 000 scale topographic maps and information from SADC host country ministries on impondments and reservoirs. The SWB_SADC tabular data layer is comprised of 18098 derivative tabular/point sadc lakes, dams and reservoirs features derived based on 1:250 000 data originally from ALCOM. The layer provides nominal analytical/mapping at 1:250 000. Acronyms and Abbreviations: SADC - The Southern African Development Community; WRD - The original SADC Water Resource Database produced by ALCOM; ALCOM - ALCOM - Aquatic Resource Management for Local Community Development Programme; SWB - Surface Water Body.

Robust centre-point derivative of SWB - Hydro polygonal features. The VMAP_PT shapefile data layer is comprised of 25128 derivative polygon framework library features derived based on 1:1 000 000 data originally from VMap0/DCW. The layer provides nominal analytical/mapping at 1:1 000 000. Seamlessly complete globally, with consolidation-harmonization @ ~70%, this Africa subset at final. Acronyms and Abbreviations: VMap0 - Vector Map for Level 0; SWB - Surface Water Body; DCW - Digital Chart of the World.

Seamless and topologically robust derivative of source VMap0 SWB and related hydrological features, i.e. swamps, etc. data layers. The VMAP_PY shapefile data layer is comprised of 25128 derivative vector framework library features derived based on 1:1 000 000 data originally from VMap0/DCW. The layer provides nominal analytical/mapping at 1:1 000 000. Seamlessly complete globally, with consolidation-harmonization @ ~70%, this Africa subset at final. Acronyms and Abbreviations: VMap0 - Vector Map for Level 0; SWB - Surface Water Body DCW - Digital Chart of the World.

A set of 2 vector layers representing the Okavango River (Macro) Basin and the main sub-basins. Source: Data generated under the GIS EPSMO program. This dataset is part of the GIS Database for the Environment Protection and Sustainable Management of the Okavango River Basin project (EPSMO). Detailed information on the database can be found in the “GIS Database for the EPSMO Project” document produced by Luis Veríssimo (FAO consultant) in July 2009, and here available for download.

Groundwater resources map of the Republic of Botswana; (Sheet East and West)

Okavango Megabasin drainage network, including permanent, seasonal, ephemeral and dry water courses. Source: Data generated under the GIS EPSMO program. This dataset is part of the GIS Database for the Environment Protection and Sustainable Management of the Okavango River Basin project (EPSMO). Detailed information on the database can be found in the “GIS Database for the EPSMO Project” document produced by Luis Veríssimo (FAO consultant) in July 2009, and here available for download.

Robust derivative of VMap0 - Ed5 data layers harmonized with DCW dams, lakes, waterholes, wells and other SWBs based on the VMAP0-MP and DCW-DN/DSPNT sources. The DNIW_PNT shapefile data layer is comprised of 19230 derivative vector surface water bodies features derived based on 1:1 000 000 data originally from VMap0/DCW. The layer provides nominal analytical/mapping at 1:1 000 000. Seamlessly complete globally, with consolidation-harmonization @ ~70%, this Africa subset at final. Acronyms and Abbreviations: VMap0 - Vector Map for Level 0; DCW - Digital Chart of the World; SWBs - Surface Waterbodies, DNNET - Drainage Network layer; LCPOLY - Land Cover layer.