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Many African countries, especially in the Sub-Saharan region highly depend on hydropower which is one of the energy sources that are most affected by droughts. At the same time hydropower has a huge impact on water consumption (mainly through evaporation from reservoir surfaces) in comparison with other fuel types despite having higher densities of plants and installed capacities. Hydropower accounts for 15% of Africa’s energy production. This map shows the energy production (GWh) of hydropower plants with an installed capacity above 5MW, aggregated for each hydropower-generating country in
Mining has major economic, environmental and societal consequences, yet knowledge and understanding of its global footprint are still limited. These polygons represent the global mining land use detected via remote sensing analysis of high-resolution, publicly available satellite imagery. The dataset comprises 74,548 polygons, covering ~66,000 km2 of features like waste rock dumps, pits, water ponds, tailings dams, heap leach pads and processing/milling infrastructure.
This data set provides spatially explicit estimates of the area directly used for surface mining on a global scale. It contains 44,929 polygon features, covering 101,583 km² of land used by the global mining industry, including large-scale and artisanal and small-scale mining. The polygons cover all ground features related to mining, .e.g open cuts, tailing dams, waste rock dumps, water ponds, processing infrastructure, and other land cover types related to the mining activities.
The large-scale expansion of built infrastructure is profoundly reshaping the geographies of Africa, generating lock-in patterns of development for future generations. Understanding the impact of these massive investments can allow development opportunities to be maximised and therefore be critical for attaining the United Nations Sustainable Development Goals and Africa Union Agenda 2063. However, until now information on the types, scope, and timing of investments, how they have evolved, and their spatial-temporal impact was dispersed amongst various agencies. We developed the first
This dataset shows the African power plants and their installed capacity in MegaWatt (MW). It includes thermal plants (coal, gas, oil, nuclear, biomass, waste, geothermal) and renewables (hydro, wind, solar). Each power plant is geolocated and entries contain information on plant capacity and generation.
This dataset shows the African power plants by energy generation type. It includes thermal plants (coal, gas, oil, nuclear, biomass, waste, geothermal) and renewables (hydro, wind, solar). Each power plant is geolocated and entries contain information on plant capacity and generation type.
Understanding why and where humanitarian disasters are likely to occur is a fundamental step in saving lives and promoting sustainable development. The coping capacity dimension of the INFORM Risk Index (global risk assessment for humanitarian crises and disasters) measures the ability of a country to cope with disasters in terms of organized activities, infrastructure and governmental effort. In particular, the physical infrastructure component presented in this layer tries to assess both the accessibility and the redundancy of the systems, which are two crucial characteristics in a crisis
This indicator assesses the potential threat of rainfall- and earthquake-triggered landslides. Landslides impose significant risks to human lives and economic activities. Landslides have become more prevalent because of anthropogenic disturbances, such as land-cover changes, land degradation and expansion of infrastructure. These are further exacerbated by more extreme precipitation due to climate change, which is predicted to trigger more landslides and threaten sustainable development in vulnerable regions. The Global Landslide Hazard Map has been used as the basis for this indicator. It
This indicator assesses the number of occurrences of herbicide resistant weeds. Herbicide resistance is the ability of a weed to survive an herbicide application that had been used to contain that population. As unwanted plants compete with crops, issues of crop loss and contamination arise. To estimate antimicrobial and agrochemical resistance, data from the Weed resistance database (International Survey of Herbicide Resistant Weeds) was used. Please note that the source data for this indicator is only available on a country level.
This indicator assesses the predicted maximum wind speed (mph) on a 50-year return period. Storms can impact companies and value chains through a variety of ways, including building and property damage, flooding or power outages, which may lead to temporary or permanent company closures and loss of revenue. This indicator is based on GFDRR’s tropical cyclonic strong wind and storm surge model, using information from 2,594 historical tropical cyclones, topography, terrain roughness and bathymetry. This database is the most up-to-date repository of information associated with tropical cyclones.
Soil condition indicates whether soil can perform basic functions to benefit human use and ecosystems alike. This indicator is based on soil organic carbon (SOC) content. SOC is the main component of soil organic matter and is a prerequisite for soil functions and food production, mitigation and adaptation to climate change, and the achievement of the Sustainable Development Goals (SDGs). While there are many other aspects that can influence soil condition, SOC has also long been used as an indicator of soil health, due to its capacity to improve soil structural stability, which affects
This indicator assesses whether there is enough natural habitat surrounding cropland to support natural pollination. Up to two-thirds of all crops require some degree of animal pollination to reach their maximum yields, and natural habitat around farmlands can support healthy populations of wild pollinators by providing them with foraging and nesting resources. As part of the mapping of the planet’s critical natural assets for people (NCP), the crop pollination dataset models the potential contribution of wild pollinators to nutrition production, based on pollination sufficiency of habitat
This indicator refers to the stock status of marine fish. As the largest traded food commodity in the world, seafood provides sustenance to billions of people worldwide. More than 85% of the world's fisheries have been pushed to or beyond their biological limits. Overfishing occurs in areas that have been exploited at levels that exceed the capacity for replacement by reproduction and growth of the exploited species. Species that are being overfished are producing catches that are below the level that could be sustainably derived. As a result of intense exploitation, most fisheries generally
This indicator assesses the threat of extreme heat during a 5-year return period. Extreme heat has an obvious impact on human health, but it is also relevant to a wide array of economic activities and industries, including the built environment. With climate change, the frequency and the intensity of abnormal weather and extreme temperature patterns have dramatically increased, and the shift to warmer temperatures, driven by climate change, will only exacerbate this phenomenon. For this indicator, GFDRR’s extreme heat hazard has been used. It is classified based on an existing and widely