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

FathomDEM Digital Elevation model for locations east of 30W (including Europe, Africa, Asia and part of Oceania).

FathomDEM is a global 30m DEM produced using a novel application of a hybrid vision transformer model. This model removes surface artifacts from a global radar DEM, Copernicus DEM, aligning it more closely with true topography.

This dataset is documented in the peer reviewed article FathomDEM: an improved global terrain map using a hybrid vision
transformer model

FathomDEM data for locations west of 30W is available in the dataset FathomDEM v1-0 Americas

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.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

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.

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.

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 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 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.

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.

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.

Filled DEM, Lake Victoria Region, raster, 2000 Reference Information and Units: GCS: WGS 1984 EPSG:102024 (Lambert Conformal Conic Africa) Pixel Size: ~30 meters File Naming Convention: LV_DEM_30_m_hydro Data Origin: SRTM GL1: NASA Shuttle Radar Topography Mission Global 1 arc second V003 Sensor: SRTM Data Description: NASA Shuttle Radar Topography Mission (SRTM) datasets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. The purpose of SRTM was to generate a near-global digital elevation model (DEM) of the Earth using radar interferometry. SRTM was a primary component of the payload on the Space Shuttle Endeavour during its STS-99 mission. Endeavour launched February 11, 2000 and flew for 11 days. SRTM collected data in swaths, which extend from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km). These swaths are ~225 km wide, and consisted of all land between 60° North (N) and 56° South (S) latitude. This accounts for about 80% of Earth’s total landmass. More information can be found in the metadata pdf

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.

This data set contains the Compound Topographic Index (CTI) for Africa from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The CTI 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_cti_3_2.zip contains the CTI 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 data sets: 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 data set) 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.

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.