This dataset contains the Digital Elevation Model (DEM) for Africa from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The DEM data were developed and distributed by processing units. There are 19 processing units for Africa. The distribution files have the number of the processing unit appended to the end of the zip file name (e.g. af_dem_3_2.zip contains the DEM data for unit 3-2). The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment boundaries. The coverage of the data is global (-180º, 180º, -90º, 90º) with the underlying DEM being a hybrid of three datasets: HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales), Global Multi-resolution Terrain Elevation Da ...

The Africa Soil Information Service: Hydrologically Corrected/Adjusted SRTM DEM (AfrHySRTM) is an adjusted elevation raster in which any depressions in the source Digital Elevation Model (DEM) have been eliminated (filled), but allowing for internal drainage since some landscapes contain natural depressions. These landscapes have their own internal drainage systems, which are not connected to adjacent watersheds. Null cells (drains) were placed in depressions exceeding a depth limit of 20 m and with no less than 1000 cells (pixels) during the DEM adjustment process. After filling depressions in the DEM, flowpaths can also be generated. AfrHySRTM uses the CGIAR-CSI SRTM 90m Version 4 as the source DEM The dataset was produced at the World Agroforestry Centre (ICRAF) in Nairobi, Kenya and is distributed by the Africa Soil Information Service. The purpose of the dataset is to serve a wide user community by providing a Digital Elevation Model for the continent of Africa that can be used to predict soil properties as well as for a range of other applications, including erosion and landslide risk. The images and data are available from the Africa Soil Information Service (AfSIS) in Geographic Tagged Image File Format (GeoTIFF) format via download at http://africasoils.net/.

On June 29, 2009, NASA and the Ministry of Economy, Trade and Industry (METI) of Japan released a Global Digital Elevation Model (GDEM) to users worldwide at no charge as a contribution to the Global Earth Observing System of Systems (GEOSS). This version 1 ASTER GDEM (GDEM1) was compiled from over 1.2 million scenebased DEMs covering land surfaces between 83°N and 83°S latitudes. A second version of the ASTER GDEM (GDEM2) was released by NASA and METI on 17 October, 2011. Improvements in the GDEM2 result from acquiring 260,000 additional scenes to improve coverage, a smaller correlation kernel to yield higher spatial resolution, and improved water masking. The ASTER GDEM V2 maintains the GeoTIFF format and the same gridding and tile structure as V1, with 30-meter postings and 1 x 1 degree tiles. Version 2 shows significant improvements over the previous release. The GDEM is available for download from NASA Reverb, LP DAAC Global Data Explorer, and J-spacesystems ASTER GDEM Page.

Source: http://www.jspacesystems.or.jp/ersdac/GDEM/ver2Validation/Summary_GDEM2_validation_report_final.pdf ASTER Global Digital Elevation Model Version 2 Summary of Validation Results Accessed 05/11/2013 And http://asterweb.jpl.nasa.gov/gdem.asp

The goal of developing HydroSHEDS was to generate key data layers to support regional and global watershed analyses, hydrological modeling, and freshwater conservation planning at a quality, resolution and extent that had previously been unachievable.

PLEASE NOTE: This is an updated release of the Africa 30 arc second DEM. Comments from users of this data set are welcome. Please contact Dean Gesch (gesch@dg1.cr.usgs.gov) or Sue Jenson (jenson@dg1.cr.usgs.gov).

A digital elevation model (DEM) consists of a sampled array of elevations for ground positions that are normally spaced at regular intervals. To meet the needs of the geospatial data user community for regional and continental scale elevation data, the staff at the U.S. Geological Survey's EROS Data Center (EDC) are developing DEM's at a horizontal grid spacing of 30 arc seconds (approximately 1 kilometer). These data are being made available to the public via electronic distribution and hard media. As of July, 1996 data are available for Africa, Antarctica, Asia, Europe, and North America. Data sets for South America, Australia, New Zealand, the islands of southeast Asia, and Greenland are under development and are scheduled for release before the end of 1996.

The goal of developing HydroSHEDS was to generate key data layers to support regional and global watershed analyses, hydrological modeling, and freshwater conservation planning at a quality, resolution and extent that had previously been unachievable.

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This dataset contains the streams derived from the Digital Elevation Model (DEM) for the African continent from the Hydrological Derivatives for Modeling and Analysis (HDMA) database. The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment boundaries. The coverage of the data is global (-180º, 180º, -90º, 90º) with the underlying DEM being a hybrid of three datasets: HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales), Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) and the Shuttle Radar Topography Mission (SRTM). For most of the globe south of 60º North, the raster resolution of the data is 3-arc-seconds, corresponding to the resolution of the SRTM. For the areas North of 60º, the resolution is 7.5-arc-seconds (the smallest resolution of the GMTED2010 dataset) except for Greenland, where the resolution is 30-arc-seconds. The streams and catchments are attributed with Pfafstetter codes, based on a hierarchical numbering system, that carry important topological information.

This dataset contains sub-meter resolution digital elevation models and orthomosaics of the Kruger National Park, South Africa, generated from aerial images captured by Digital Mapping Camera (DMC) during September and October 2018.

The use of digital elevation models has proven to be crucial in a large number of studies related to savanna ecosystem research. However, the insufficient spatial resolution of the input data is often considered to be a limiting factor when conducting local to regional ecosystem analysis. The elevation models and orthorectified imagery created in this dataset represent the first wall-to-wall digital elevation products of the Kruger National Park (KNP) in South Africa at 25 cm pixel posting. In the light of regular flight campaigns carried out by the South African government, the workflow of the presented data sets can be reused to create height models and orthorectified images of a vulnerable ecosystem in the future. Flight campaigns were carried out by GeoSpace International, Pretoria. Data processing and preparation as well as validation of the final products was carried out by Kai Heckel (Friedrich Schiller University Jena, Germany) with the strong support of all co-authors of the related study.

The methodology is described in the following publication:

Heckel, K.; Urban, M.; Bouffard, J.-S.; Baade, J.; Boucher, P.; Davies, A.; Hockridge, E.G.; Lück, W.; Ziemer, J.; Smit, I.; Jacobs, B.; Norris-Rogers, M.; Schmullius, C. (2021): The first sub-meter resolution digital elevation model of the Kruger National Park, South Africa. Koedoe.

This dataset contains the slope for Africa from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The slope data were developed and distributed by processing units. There are 19 processing units for Africa. The distribution files have the number of the processing unit appended to the end of the zip file name (e.g. af_slope_3_2.zip contains the slope data for unit 3-2).The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment boundaries. The coverage of the data is global (-180º, 180º, -90º, 90º) with the underlying DEM being a hybrid of three datasets: HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales), Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) and the Shuttle Radar Topography Mission (SRTM). For most of the globe south of 60º North, the raster resolution of the data is 3-arc-seconds, corresponding to the resolution of the SRTM. For the areas North of 60º, the resolution is 7.5-arc-seconds (the smallest resolution of the GMTED2010 dataset) except for Greenland, where the resolution is 30-arc-seconds. The streams and catchments are attributed with Pfafstetter codes, based on a hierarchical numbering system, that carry important topological information.

The geodata represents the digital elevation model of Nigeria. Spatial resolution: 90 meters.

This dataset contains the catchments derived from the Digital Elevation Model (DEM) for the African continent from the Hydrological Derivatives for Modeling and Analysis (HDMA) database. The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment boundaries. The coverage of the data is global (-180º, 180º, -90º, 90º) with the underlying DEM being a hybrid of three datasets: HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales), Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) and the Shuttle Radar Topography Mission (SRTM). For most of the globe south of 60º North, the raster resolution of the data is 3-arc-seconds, corresponding to the resolution of the SRTM. For the areas North of 60º, the resolution is 7.5-arc-seconds (the smallest resolution of the GMTED2010 dataset) except for Greenland, where the resolution is 30-arc-seconds. The streams and catchments are attributed with Pfafstetter codes, based on a hierarchical numbering system, that carry important topological information.

Catalog of RGB image derivaitive of SRTM 3-arc second Version 2 hillshaded DEM for Africa, seamless tiled compilation of color classified DEM and hillshade. SRTM is Shuttle Radar Topography Mission; DEM is Digital Elevation Model. The SRTM-3AS_IMGCAT_JP2 Image data layer is comprised of 3204 derivative calculated seamless image catalog features derived based on 0.000833_ data originally from FAO.

The data was collected from Jeytun (Jeitun, Jeytūn, ДЖЕЙТУ́Н, Чакмакдаш-Бейик), one of the key sites of the early agricultural culture located along the foothills of the Kopet Dag, not far from Ashgabat – the capital of Turkmenistan. This is a Digital Elevation Model of the monument, created in 2019.

Mauritius is classified as the most democratic country in Africa. As of 2023, Mauritius' democracy was given 8.14 points, ranking as the only country in the whole continent as fully democratic. The index is based, according to the source, on the electoral process and pluralism, the government functions, political participation, and culture as well as civil liberties. Many Sub-Saharan and North African political systems are among the least democratic countries in the world. Burundi has the most authoritarian regime in Africa, with a score of 2.13 points, while countries such as Botswana, Cabo Verde, South Africa, Namibia, and Lesotho fell within the "hybrid regimes", with a score ranging from 6.06 points to 7.73 points, meaning that they experience, for example, elections with irregularities, widespread corruption, and harassment of journalists. Democracy and freedom of speech in Sub-Saharan Africa One of the main key indicators of democracy is the ability of individuals to express their opinions freely. African countries varied strongly when it came to freedom of speech, for instance, countries Mauritius, Namibia, and Cabo Verde had high scores in both the democracy index and the civic space openness index in the last years. On the other hand, countries like Djibouti and Equatorial Guinea had relatively low scores in the same indices. Furthermore, in the last few years, several Sub-Saharan African countries faced a huge decline in the freedom index as well, with nine out of the ten African countries with the largest decline in the freedom index being from this region. Africa divided: which region had more democracy? North African countries showed poor scores in the democracy index as well. Two-thirds of the countries in this region had a score below five points, indicating authoritarian rule. Even the countries with the highest scores in this region have relatively low scores compared to countries in the Sub-Saharan region.

This data set consists of a southern African subset of the Global Land One-Kilometer Base Elevation (GLOBE) digital elevation model (DEM) data in both ASCII GRID and binary image file formats. The Global Land One-Kilometer Base Elevation (GLOBE) digital elevation model (DEM) is a global data set with horizontal grid spacing of 30 arc-seconds (0.008333... degrees) in latitude and longitude, resulting in dimensions of 21,600 rows and 43,200 columns. At the Equator a degree of latitude is about 111 kilometers. GLOBE has 120 values per degree, giving GLOBE slightly better than 1-km gridding at the Equator, with progressively finer gridding longitudinally toward the Poles. The horizontal coordinate system is seconds of latitude and longitude referenced to World Geodetic System 84 (WGS84). The vertical units represent elevation in meters above Mean Sea Level. The elevation values range from -407 to 8,752 meters on land. In GLOBE Version 1.0, ocean areas have been masked as no data and have been assigned a value of -500. Because of the nature of the raster structure of the DEM, small islands in the ocean less than approximately 1 square kilometer (specifically, those that are not characterized by at least one 30 grid cell and/or do not have coastlines digitized into Digital Chart of the World or World Vector Shoreline) may not be represented. More information about the procedure used to create the southern African subset is described in the accompanying file ftp://daac.ornl.gov/data/safari2k/almanac/globe_dem/comp/so_africa_dem_readme.pdf.

1:750 000 scale seamless base map of continental Africa based on VMap0-Ed3, DCW, and Classified GTopo30 DEM. VMAP0 is Vector Map for Level 0; DCW is Digital Chart of the Word; DEM is Digital Elevation Model.. The VRTL_MAP image data layer is comprised of 51784x51084 derivative image virtual base map features derived based on 1:750 000 data originally from FAO.

Norway Immigration: Africa: Democratic Republic of the Congo data was reported at 9.000 Person in 2017. This records a decrease from the previous number of 10.000 Person for 2016. Norway Immigration: Africa: Democratic Republic of the Congo data is updated yearly, averaging 10.000 Person from Dec 1967 (Median) to 2017, with 51 observations. The data reached an all-time high of 40.000 Person in 2013 and a record low of 0.000 Person in 1974. Norway Immigration: Africa: Democratic Republic of the Congo data remains active status in CEIC and is reported by Statistics Norway. The data is categorized under Global Database’s Norway – Table NO.G006: Immigration: by Country.

A hillshade of the 5m resolution Stellenbosch University Digital Elevation Model (SUDEM) accessible online through free Web Mapping Service made available by the University of Stellenbosch.

This dataset contains the Flow Accumulation (FA) for Africa from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The FA data were developed and distributed by processing units. There are 19 processing units for Africa. The distribution files have the number of the processing unit appended to the end of the zip file name (e.g. af_fa_3_2.zip contains the FA data for unit 3-2). The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment boundaries. The coverage of the data is global (-180º, 180º, -90º, 90º) with the underlying DEM being a hybrid of three datasets: HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales), Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) and the Shuttle Radar Topography Mission (SRTM). For most of the globe south of 60º North, the raster resolution of the data is 3-arc-seconds, corresponding to the resolution of the SRTM. For the areas North of 60º, the resolution is 7.5-arc-seconds (the smallest resolution of the GMTED2010 dataset) except for Greenland, where the resolution is 30-arc-seconds. The streams and catchments are attributed with Pfafstetter codes, based on a hierarchical numbering system, that carry important topological information.