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Inland waters

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  • The Database for Hydrological Time Series of Inland Waters (DAHITI) provides hydrologial information on lakes, reservoirs, rivers, and wetlands derived from satellite data.

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    Geo-referenced point database on dams in Africa.

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    Location of fall, reservoirs, springs and other features within the Okavango River Basin. Source: Digital Chart of the World (DCW). 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.

  • Climate change and growing pressure on natural resources are existential threats to both humanity and nature. These threats require ambitious responses. Increasing water risks have led to more attention on water-related threats. While demand for water has risen sharply in many regions of the world, as a result of population growth and economic expansion, climate change is expected to decrease water supply, alter the timing of water availability, and increase the severity of droughts and floods. These growing pressures on water resources undermine water security and contribute to conflict, migration, health crises, and food and energy insecurity across the world. Data on global water resources is essential for managing these growing risks and challenges. Global Water Watch, supported by Google.org and the Water, Peace, and Security Partnership, will provide free, globally accessible, near-real-time information on water. Deltares, World Resources Institute (WRI), and World Wildlife Fund (WWF) are partnering to create the data platform, which will house information on over 70,000 global reservoirs and major river systems, derived using satellite data, machine learning, and cloud computing. This data will help decision-makers respond to extreme weather events, manage growing risks of climate change, make societies more climate resilient, and preserve and restore our vital ecosystems and the many services they provide.

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    The raster dataset of easily available water has a spatial resolution of 5 * 5 arc minutes and is in geographic projection. Information with regard to available water was obtained from the "Derived Soil Properties" of the FAO-UNESCO Soil Map of the World which contains raster information on soil properties.

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    Wetland types, including non active salt pans and interdune flats within Okavango River Basin. Source: Digital Chart of the World (DCW); World Conservation Monitoring Centre (WCMC). 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.

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    This raster layer (90m resolution) represents the flow direction in the CORB-Contributing area. The values in the cells of the grid indicate the direction of flow from that cell. This layer was created from the SRTM DTM (digital terrain model). In order to eliminate error, a “Fill Sinks” function was conducted on the SRTM DTM of the basin prior to the creation of this layer. Source: SRTM DTM (digital terrain model). 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.

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    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.

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    This vector layer (polygon) – reference scale 1/200 000 – is a sub-basin delineation of the CORB-Contributing area, incorporating basins of the main tributaries and sub- tributaries of the Kubango/Okavango river. It was created by a supervised aggregation of micro basin units from the Catchment MicroBasins layer. 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.

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    Temperature regimes, solar radiation and available soil moisture determine photosynthesis, which allows plants to accumulate dry matter throughout the plant development stages. Compilation of an AEZ agro-climatic inventory using several climatic variables (e.g. temperature, precipitation, sunshine fraction, relative humidity) gives a general characterization of climatic resources, signifies their suitability for agricultural use and provides data and indicators related to climatic requirements of crop growth, development and yield formation. The inventory includes a variety of agronomically relevant characteristics of prevailing thermal and moisture regimes, and growing periods. GAEZv4 climate data include historical (time-series and 30-year averages covering 1961-2010) and future periods (30-year average of years 2011-2040, 2041-2070, and 2070-2099) using recent IPCC AR5 Earth System Model (ESM) outputs for four Representative Concentration Pathways (RCPs). This theme 2 provides information about (1) Climate Classification, (2) Thermal Regime, (3) Moisture Regime and (4) Growing Period. Results of this theme are presented in a regular raster format of 5 arc-minute (about 9 x 9 km at the equator) grid cells. Climatic conditions are based on a time series of historical data of 1961-2010 and a selection of future climate simulations using recent IPCC AR5 Earth System Model (ESM) outputs for four Representative Concentration Pathways (RCPs). GAEZ methodology development, data base compilation, production of results and establishing the Data Portal were accomplished in close technical collaboration and with inputs of the International Institute for Applied Systems Analysis (IIASA). For further details, please refer to the GAEZ v4 Model Documentation.