HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales) provides hydrographic information in a consistent and comprehensive format for regional and global-scale applications. HydroSHEDS offers a suite of geo-referenced data sets (vector and raster), including stream networks, watershed boundaries, drainage directions, and ancillary data layers such as flow accumulations, distances, and river topology information. HydroSHEDS is derived from elevation data of the Shuttle Radar Topography Mission (SRTM) at 3 arc-second resolution. Available HydroSHEDS resolutions range from 3 arc-second (approx. 90 meters at the equator) to 5 minute (approx. 10 km at the equator) with seamless near-global extent.

Citation:Title: HydroSHEDS (BAS) - Africa drainage basins (watershed boundaries) at 30s resolutionCredits: World Wildlife Fund (WWF)Publication Date: 2006Publisher: U.S. Geological SurveyOnline Linkages: http://hydrosheds.cr.usgs.govhttp://www.worldwildlife.org/hydroshedsOther Citation Info: Please cite HydroSHEDS as: Lehner, B., Verdin, K., Jarvis, A. (2006): HydroSHEDS Technical Documentation. World Wildlife Fund US, Washington, DC. Available at http://hydrosheds.cr.usgs.gov.

This layer package was loaded using Data Basin.Click here to go to the detail page for this layer package in Data Basin, where you can find out more information, such as full metadata, or use it to create a live web map.

The data set consists of southern Africa subset of the CPEP Global River Discharge Data Set. The Climate, People, and Environment Program (CPEP) global river discharge data set is a compilation of monthly mean discharge data for over 2600 sites worldwide. The data sources are RivDis 2.0, the United States Geological Survey, and Brazilian National Department of Water and Electrical Energy. The period of record is variable, from 3 years to greater than 100. The purpose of this compilation is to provide detailed hydrographic information to the climate research community in as general a format as possible. Data is provided in units of meters cubed per second (m**3/sec) in ASCII format. Data from stations with less than 3 years of information or with basin area less than 5000 km2 were excluded from this compilation. Therefore the original sources may have more sites available. No further documentation is available on this data set. Users should refer to the data originators for documentation. More information can be found at: ftp://daac.ornl.gov/data/safari2k/hydrology/river_discharge_cpep/comp/cpep_discharge.pdf.

This polygon shapefile represents areas of inland water such as: lakes, ponds, rivers or streams in South Africa. The bulk of the data, for this layer, was captured from the South African Provincial Map Series (2nd edition 2001), i.e. LIMPOPO 1:700 000, NOTHERN CAPE 1:1 200 000,KWAZULU - NATAL 1:700 000, WESTERN CAPE 1:800 000, EASTERN CAPE 1:800 000, MPUMALANGA 1:600 000, NORTH WEST 1:700 000, FREE STATE 1:700 000,GAUTENG 1:300 000

This archive contains the following data:A map of the occurrence of key invasive alien plants in the Luvuvhu Catchment, derived using a Random Forest classification of a Sentinel-2 image at 10m spatial resolution. (.tif file)A metadata file for the mapThe training data (.shp)A metadata file for the training dataCondition of useAll academics using this dataset in any scientific publication shall offer first right of refusal for co-authorship on any manuscripts.Practitioners are free to use the dataset.Disclaimer: This dataset is provided 'as is' without any guarantees or warranties of accuracy, completeness, or fitness for a particular purpose. Users are solely responsible for assessing and interpreting the data, and any reliance on the dataset is at their own risk. The publisher assumes no liability for any damages or losses resulting from the use or interpretation of the data. Users are advised to read and understand the limitations of the dataset before using it.Licence Type: CC-BY-SAThis license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. If you remix, adapt, or build upon the material, you must license the modified material under identical terms. CC BY-SA includes the following elements:BY: credit must be given to the creator.SA: Adaptations must be shared under the same terms.

This archive contains the following data:A map of the occurrence of key invasive alien plants in the uMzimvubu Catchment, derived using a Random Forest classification of a Sentinel-2 image at 10m spatial resolution. (.tif file)A metadata file for the mapThe training data (.shp)A metadata file for the training dataCondition of useAll academics using this dataset in any scientific publication shall offer first right of refusal for co-authorship on any manuscripts.Practitioners are free to use the dataset.Disclaimer: This dataset is provided 'as is' without any guarantees or warranties of accuracy, completeness, or fitness for a particular purpose. Users are solely responsible for assessing and interpreting the data, and any reliance on the dataset is at their own risk. The publisher assumes no liability for any damages or losses resulting from the use or interpretation of the data. Users are advised to read and understand the limitations of the dataset before using it.Licence Type: CC-BY-SAThis license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. If you remix, adapt, or build upon the material, you must license the modified material under identical terms. CC BY-SA includes the following elements:BY: credit must be given to the creator.SA: Adaptations must be shared under the same terms.

This southern African subset of the Global Hydrographic data set (GGHYDRO) Release 2.2 is organized into 19 files containing terrain type, stream frequency counts, major drainage basins, main features of the cryosphere surface, and ice/water runoff per year for the entire Earth's surface at a spatial resolution of 1 degree longitude by 1 degree latitude. This southern African subset of the Global Hydrographic data is provided in both ASCII GRID and binary image files formats. More information and selected thumbnails images can be found at: ftp://daac.ornl.gov/data/safari2k/hydrology/hydrographic_gghydro/comp/gghydro_readme.pdf . GGHYDRO Data Set Categories (Data File): 1. Exposed land not covered by swamp, intermittent water bodies, glacier ice, sand dunes, saltmarsh or salt flats (LAND); 2. Perennial freshwater lakes (FLAK); 3. Swamp, marsh and other wetlands(SWMP); 4. Saltwater, whether marine or terrestrial (SLTW); 5. Intermittent water bodies (ILAK); 6. Glacier ice, including shelf ice but excluding pack ice (GLAC); 7. Sand dunes (DUNE); 8. Saltmarsh (SMRS); 9. Salt flats (SFLT); 10. Land + Swamp + Sand dunes + Saltmarsh (DSRF); 11. Perennial rivers (FRIV); 12. Intermittent rivers (IRIV); 13. Land mask (MS05); 14. Major drainage basins (BAS1); 15. Smaller drainage basins (BAS2); 16. Main features of the cryosphere (CRYO); 17. Surface runoff of water (kg/m**2/yr) (RNOF); 18. Estimated root-mean-square error of RNOF (%) (RNER); and 19. Runoff of ice ( kg/m**2/yr ) (RICE).

The boundaries of five different geographic areas -- North America, South America, Europe, Africa, and Asia -- are digitally represented in this collection of data files that can be used in the production of computer maps. Each of the five areas is encoded in three distinct files: (1) coastline, islands, and lakes, (2) rivers, and (3) international boundaries. There is an additional file for North America (Part 4: North America: Internal Boundaries) delineating state lines in the United States and provincial boundaries in Canada. The data in each of the files is hierarchically structured into subordinate geographic features and ranks, which may be used for output plotting symbol definition. The mapping scale used to encode the data ranged from 1:1 million to 1:4 million.

Colonial mapping in Upper uThukela erased BaTwa landscapes by renaming rivers and constructing dams over sacred sites which ended up being submerged and lost forever. Yet Indigenous names and totem trees endured. This project collapses colonial mapping layers, using Collective Cultural Memory and oral cartography and digital tools to restore Indigenous spatial memory.

The Filled Land Surface Albedo Product for Southern Africa, which is generated from MOD43B3 Product (the official Terra/MODIS-derived Land Surface Albedo - http://geography.bu.edu/brdf/userguide/albedo.html ), is a subset of the global data set of spatially complete albedo maps computed for both white-sky and black-sky at 10 wavelengths. The data spatial extent is from approximately 5 degrees N to -30 degrees S latitude and 5 minutes E to 60 degrees E longitude and covers 7 sixteen day periods starting on July 11 through October 15, 2000.Map Products, containing spatially complete land surface albedo data, are generated at 1-minute resolution on an equal-angle grid. The maps are stored in separate HDF files for each wavelength, each 16-day period and each albedo type (white- and black-sky). Data belonging to black sky and white sky albedo have been zipped separately. This format allows the user to have flexibility to download and store only the data absolutely needed.The One-Minute Land Ecosystem Classification Product is a global (static map) data set of the International Geosphere-Biosphere Programme (IGBP) classification scheme stored on an equal-angle rectangular grid at 1-minute resolution. The dataset is generated from the official MODIS land ecosystem classification dataset, MOD12Q1 for year 2000, day 289 data (October 15, 2000). This dataset is used in generating the spatially complete albedo maps, but is also a stand-alone product designed for use by the user community. The Land Ecosystem Classification Map File product file is stored in Hierarchical Data Format (HDF).

This geodatabase reflects the U.S. Geological Survey’s (USGS) ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral exploration and development sites, and mineral commodity exporting ports in Africa. The geodatabase and geospatial data layers serve to create a new geographic information product in the form of a geospatial portable document format (PDF) map. The geodatabase contains data layers from USGS, foreign governmental, and open-source sources as follows: (1) mineral production and processing facilities, (2) mineral exploration and development sites, (3) mineral occurrence sites and deposits, (4) undiscovered mineral resource tracts for Gabon and Mauritania, (5) undiscovered mineral resource tracts for potash, platinum-group elements, and copper, (6) coal occurrence areas, (7) electric power generating facilities, (8) electric power transmission lines, (9) liquefied natural gas terminals, (10) oil and gas pipelines, (11) undiscovered, technically recoverable conventional and continuous hydrocarbon resources (by USGS geologic/petroleum province), (12) cumulative production, and recoverable conventional resources (by oil- and gas-producing nation), (13) major mineral exporting maritime ports, (14) railroads, (15) major roads, (16) major cities, (17) major lakes, (18) major river systems, (19) first-level administrative division (ADM1) boundaries for all countries in Africa, and (20) international boundaries for all countries in Africa.