90 datasets found
  1. n

    SRTM Water Body Data

    • cmr.earthdata.nasa.gov
    • s.cnmilf.com
    • +2more
    Updated Jan 29, 2016
    + more versions
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    (2016). SRTM Water Body Data [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1220567909-USGS_LTA.html
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    Dataset updated
    Jan 29, 2016
    Time period covered
    Jan 1, 1970 - Present
    Area covered
    Earth
    Description

    The SRTM Water Body Data files are a by-product of the data editing performed by the National Geospatial-Intelligence Agency (NGA) to produce the finished SRTM Digital Terrain Elevation Data Level 2 (DTED® 2). In accordance with the DTED® 2 specification, the terrain elevation data have been edited to portray water bodies that meet minimum capture criteria. Ocean, lake and river shorelines were identified and delineated. Lake elevations were set to a constant value. Ocean elevations were set to zero. Rivers were stepped down monotonically to maintain proper flow. After this processing was done, the shorelines from the one arc second (approx. 30-meter) DTED® 2 were saved as vectors in ESRI 3-D Shapefile format.

    In most cases, two orthorectified image mosaics (one for ascending passes and one for descending passes) at a one arc second resolution were available for identifying water bodies and delineating shorelines in each 1 x1 cell. These were used as the primary source for water body editing. The guiding principle for this editing was that water must be depicted as it was in February 2000 at the time of the shuttle flight. A Landcover water layer and medium-scale maps and charts were used as supplemental data sources, generally as supporting evidence for water identified in the image mosaics. Since the Landcover water layer was derived mostly from Landsat 5 data collected a decade earlier than the Shuttle mission and the map sources had similar currency problems, there were significant seasonal and temporal differences between the depiction of water in the ancillary sources and the actual extent of water bodies in February 2000 in many instances. In rare cases, where the SRTM image mosaics were missing or unusable, Landcover was used to delineate the water in the SRTM cells. The DTED® header records for those cells are documented accordingly.

  2. w

    Map of permanent water bodies of the World

    • data.wu.ac.at
    html, n/a, zip
    Updated Nov 29, 2016
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    JRC DataCatalogue (2016). Map of permanent water bodies of the World [Dataset]. https://data.wu.ac.at/schema/drdsi_jrc_ec_europa_eu/M2ViMzM4MjAtNWY1My00ZGRlLThiZGQtOTM5NTcyNDFhNWE2
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    zip, n/a, htmlAvailable download formats
    Dataset updated
    Nov 29, 2016
    Dataset provided by
    JRC DataCatalogue
    Description

    The map represents permanent water bodies at global scale (lakes and reservoirs), derived from a corrected version of the Global Lakes and Wetlands Database. Resolution is 30 arcseconds (approx. 1km). Natural water bodies (lakes) are indicated by value 1, Reservoirs are indicated by value 2. The map should be used to integrate the global flood hazard maps.

  3. World Surface Water

    • agriculture.africageoportal.com
    • africageoportal.com
    • +2more
    Updated Dec 4, 2014
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    Esri (2014). World Surface Water [Dataset]. https://agriculture.africageoportal.com/datasets/ddfce15a8ccd4c8c88fb125cb4f23cc9
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    Dataset updated
    Dec 4, 2014
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Water bodies are a key element in the landscape. This layer provides a global map of large water bodies for use inlandscape-scale analysis. Dataset SummaryThis layer provides access to a 250m cell-sized raster of surface water created by extracting pixels coded as water in the Global Lithological Map and the Global Landcover Map. The layer was created by Esri in 2014. Analysis: Restricted single source analysis. Maximum size of analysis is 16,000 x 16,000 pixels. What can you do with this layer?This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop. Restricted single source analysis means this layer has size constraints for analysis and it is not recommended for use with other layers in multisource analysis.This layer has query, identify, and export image services available. This layer is restricted to a maximum area of 16,000 x 16,000 pixels - an area 4,000 kilometerson a side or an area approximately the size of Europe.This layer is part of a larger collection of landscape layers that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the landscape layers and many otherbeautiful and authoritative maps on hundreds of topics. Geonetis a good resource for learning more aboutlandscape layers and the Living Atlas of the World. To get started see theLiving Atlas Discussion Group. TheEsri Insider Blogprovides an introduction to the Ecophysiographic Mapping project.

  4. n

    ASTER Global Water Bodies Database V001

    • earthdata.nasa.gov
    • access.earthdata.nasa.gov
    • +2more
    Updated Aug 5, 2019
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    LPCLOUD (2019). ASTER Global Water Bodies Database V001 [Dataset]. http://doi.org/10.5067/ASTER/ASTWBD.001
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    Dataset updated
    Aug 5, 2019
    Dataset authored and provided by
    LPCLOUD
    Description

    The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Water Bodies Database (ASTWBD) Version 1 data product provides global coverage of water bodies larger than 0.2 square kilometers at a spatial resolution of 1 arc second (approximately 30 meters) at the equator, along with associated elevation information.

    The ASTWBD data product was created in conjunction with the ASTER Global Digital Elevation Model (ASTER GDEM) Version 3 data product by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was generated using ASTER Level 1A scenes acquired between March 1, 2000, and November 30, 2013. The ASTWBD data product was then generated to correct elevation values of water body surfaces.

    To generate the ASTWBD data product, water bodies were separated from land areas and then classified into three categories: ocean, river, or lake. Oceans and lakes have a flattened, constant elevation value. The effects of sea ice were manually removed from areas classified as oceans to better delineate ocean shorelines in high latitude areas. For lake water bodies, the elevation for each lake was calculated from the perimeter elevation data using the mosaic image that covers the entire area of the lake. Rivers presented a unique challenge given that their elevations gradually step down from upstream to downstream; therefore, visual inspection and other manual detection methods were required.

    The geographic coverage of the ASTWBD extends from 83°N to 83°S. Each tile is distributed in GeoTIFF format and referenced to the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each data product is provided as a zipped file that contains an attribute file with the water body classification information and a DEM file, which provides elevation information in meters.

  5. Data from: Wetlands and water bodies

    • data.globalforestwatch.org
    • v3-api-demo-dcdev.opendata.arcgis.com
    • +1more
    Updated Jan 25, 2016
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    Global Forest Watch (2016). Wetlands and water bodies [Dataset]. https://data.globalforestwatch.org/documents/927b81b1885247cf9a05ab1b9a859a6d
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    Dataset updated
    Jan 25, 2016
    Dataset authored and provided by
    Global Forest Watchhttp://www.globalforestwatch.org/
    Description

    This data set estimates large-scale wetland distributions and important wetland complexes, including areas of marsh, fen, peatland, and water (Lehner and Döll 2004). Large rivers are also included as wetlands (lotic wetlands); it is assumed that only a river with adjacent wetlands (floodplain) is wide enough to appear as a polygon on the coarse-scale source maps. Wetlands are a crucial part of natural infrastructure as they help protect water quality, hold excess flood water, stabilize shoreline, and help recharge groundwater (Beeson and Doyle 1995, Stuart and Edwards 2006). Limited by sources, the data set refers to lakes as permanent still-water bodies (lentic water bodies) without direct connection to the sea, including saline lakes and lagoons as lakes, while excluding intermittent or ephemeral water bodies. Lakes that are manmade are explicitly classified as reservoirs. The Global Lakes and Wetlands Database combines best available sources for lakes and wetlands on a global scale. This data set includes information on large lakes (area ≥ 50 km2) and reservoirs (storage capacity ≥ 0.5 km3), permanent open water bodies (surface area ≥ 0.1 km2), and maximum extent and types of wetlands.

  6. A

    World - Simplified Water Body Limits

    • data.amerigeoss.org
    zipped shapefile
    Updated Apr 22, 2020
    + more versions
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    UN Humanitarian Data Exchange (2020). World - Simplified Water Body Limits [Dataset]. https://data.amerigeoss.org/en_AU/dataset/world-water-body-limits-simplified-2017mar30
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    zipped shapefile(263790)Available download formats
    Dataset updated
    Apr 22, 2020
    Dataset provided by
    UN Humanitarian Data Exchange
    Area covered
    World
    Description

    This Dept. of State Office of the Geographer World Water Body Limits data set has both detailed and simplified versions posted here, along with a centroid point file. All are intended as non-authoritative reference guides for the placement of water body names on maps. This data set includes 158 water bodies worldwide: all tidal water bodies exceeding both 250 kilometers in length and, at some point, 100 kilometers in width, plus some notable smaller ones.….Numerous smaller water bodies are not included. In many locations, there are overlapping water body names (e.g. Golfo di Genova/ Ligurian Sea/ Mediterranean Sea) and the second field in this data set includes the more notable secondary/overlapping names. Also note that the shoreline of these water bodies is approximate and most small to medium sized islands are excluded. Names conform with the US Board on Geographic Names approved conventional and standard forms. While a member, the US has never and continues to generally not conform to various International Hydrographic Office water body limits documents and drafts since the 1940’s. Relatively recently, 13 IHO states voted to add a fifth ocean, the “Southern Ocean”, south of 60 degrees South latitude; many authorities continue to consider the world as having just four oceans.

  7. f

    Inland water bodies (FGGD)

    • data.apps.fao.org
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    Inland water bodies (FGGD) [Dataset]. https://data.apps.fao.org/map/catalog/components/search?keyword=lakes
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    Description

    The FGGD inland water bodies map is a global raster datalayer with a resolution of 5 arc-minutes. It contains the value -997 where inland water bodies is present, the value 1 for the land. The information of inland water bodies is from the 1991 version of Digital Soil Map of the World.

  8. s

    World Water Bodies, 2013

    • searchworks.stanford.edu
    zip
    Updated May 27, 2021
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    (2021). World Water Bodies, 2013 [Dataset]. https://searchworks.stanford.edu/view/jb896tp9580
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    zipAvailable download formats
    Dataset updated
    May 27, 2021
    Area covered
    World
    Description

    World Water Bodies provides a base map layer for the lakes, seas, oceans, and large rivers of the world.

  9. Groundwater dependent waterbodies using Digital Earth Australia

    • ecat.ga.gov.au
    • researchdata.edu.au
    esri: map service +3
    Updated Sep 6, 2023
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    Commonwealth of Australia (Geoscience Australia) (2023). Groundwater dependent waterbodies using Digital Earth Australia [Dataset]. https://ecat.ga.gov.au/geonetwork/srv/api/records/02ba306e-9522-4594-8212-e7e864ebcf18
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    esri: map service, www:link-1.0-http--link, ogc:wms, ogc:wfsAvailable download formats
    Dataset updated
    Sep 6, 2023
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Groundwater dependent waterbodies using Digital Earth Australia
    Area covered
    Description
    The Groundwater Dependent Ecosystem (GDE) Atlas (Bureau of Meteorology, 2019) is a well-known national product that has been utilised for a wide range of applications including environmental impact statements, water planning and research. A complementary GDE dataset, Groundwater Dependent Waterbodies (GDW), has been produced from Digital Earth Australia (DEA) national data products. This new GDW ArcGIS dataset is spatially aligned with Landsat satellite-derived products, enabling ready integration with other spatial data to map and characterise GDEs across the continent.

    The DEA Water Observations Multi Year Statistics (Mueller et al. 2016; DEA 2019) and the DEA Waterbodies (version 2) data product (Kraus et al., 2021; DEA Waterbodies, 2022) have been combined with the national GDE Atlas to produce the GDW dataset which delineates surface waterbodies that are known and/or high potential aquatic GDEs. The potential of a GDE relates to the confidence that the mapped feature is a GDE, where known GDEs have been mapped from regional studies and high potential GDEs identified from regional or national studies (Nation et al., 2017). The GDW dataset are aquatic GDE waterbodies, including springs, rivers, lakes and wetlands, which rely on a surface expression of groundwater to meet some or all of their water requirements.

    The DEA Water Observation Multi Year Statistics, based on Collection 3 Landsat satellite imagery, shows the percentage of wet observations in the landscape relative to the total number of clear observations since 1986. DEA Waterbodies identifies the locations of waterbodies across Australia that are present for greater than 10% of the time and are larger than 2700m2 (3 Landsat pixels) in size. These waterbodies include GDEs and non-GDEs (e.g. surface water features not reliant on groundwater, such as dams). Where known/high potential GDEs in the GDE Atlas intersected a DEA waterbody, the entire waterbody polygon was assigned as a potential GDW, resulting in 55,799 waterbodies in the GDW dataset. Conversely, any GDEs not classified as known/high potential GDEs in the Atlas, due to a lack of data, are not included in the GDW product. Even though this method should remove dams from the GDW dataset (assuming they have been assigned appropriately in the GDE Atlas), due to spatial misalignment some may still be included that are not potential GDEs. Furthermore, surface water features that are too small to be detected by Landsat satellite data will be excluded from the GDW dataset.

    The GDW polygons were attributed with the spatial summary of maximum, median, mean and minimum percentages for pixels within each GDW, derived from the DEA Water Observation Multi Year Statistics i.e. maximum/minimum pixel value or median/mean across all pixels in the GDW. This attribute enables comparison between GDWs of the proportion of time they have surface water observed. An additional attribute was added to the GDW dataset to indicate amount of overlap between waterbodies and aquatic GDEs in the GDE Atlas.

    An ESRI dataset, AquaticGDW.gdb, and a variety of national ArcGIS layer files have been produced using the spatial summary statistics in the GDW dataset.
    These provide a first-pass representation of known/high potential aquatic GDEs and their surface water persistence, derived consistently from Landsat satellite imagery across Australia.

    References:
    Bureau of Meteorology, 2019. Groundwater Dependent Ecosystems Atlas. http://www.bom.gov.au/water/groundwater/gde/index.shtml


    Krause, C.E., Newey, V., Alger, M.J., and Lymburner, L., 2021. Mapping and Monitoring the Multi-Decadal Dynamics of Australia’s Open Waterbodies Using Landsat, Remote Sensing, 13(8), 1437. https://doi.org/10.3390/rs13081437

    Mueller, N., Lewis, A., Roberts, D., Ring, S., Melrose, R., Sixsmith, J., Lymburner, L., McIntyre, A., Tan, P., Curnow, S. and Ip, A., 2016. Water observations from space: Mapping surface water from 25 years of Landsat imagery across Australia. Remote Sensing of Environment, 174, 341-352, ISSN 0034-4257.

    Nation, E.R., Elsum, L., Glanville, K., Carrara, E. and Elmahdi, A., 2017. Updating the Atlas of Groundwater Dependent Ecosystems in response to user demand, 22nd International Congress on Modelling and Simulation, Hobart, Tasmania, mssanz.org.au/modsim2017
  10. e

    Lake water bodies INSPIRE Download

    • data.europa.eu
    unknown
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    Lake water bodies INSPIRE Download [Dataset]. https://data.europa.eu/88u/dataset/-52624576-5004-4d22-8cb4-23b3a8b5920b-
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    unknownAvailable download formats
    Description

    The service contains: 1) Lined *.shp file. In accordance with Cabinet Regulation No 858 of 19 October 2004 on the characterisation, classification, quality criteria and procedures for determining anthropogenic loads of bodies of surface water, they are mainly rivers whose catchment area is greater than 100 km², which has been determined using water management maps of the territory of Latvia at scale 1:100000). River water bodies *shp file prepared in scale 1:50000. Coordinate system LKS-92 TM. 2) Polygon *.shp file. Lake water bodies (in accordance with Cabinet Regulation No 858 of 19.10.2004 on the characterisation, classification, quality criteria and procedures for determining anthropogenic loads of surface water bodies) are lakes whose surface area is mostly 0.5 km² or more). Lake water bodies *shp file prepared on the satellite maps of the State Earth Service 1992 at scale 1:50000. Coordinate system LKS-92 TM.

  11. H

    Water Mapping App

    • hydroshare.org
    • beta.hydroshare.org
    • +1more
    zip
    Updated Oct 24, 2020
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    Arash Modaresi Rad (2020). Water Mapping App [Dataset]. https://www.hydroshare.org/resource/4dbd35f77b89416eaa0e44f5119eb72c
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    zip(0 bytes)Available download formats
    Dataset updated
    Oct 24, 2020
    Dataset provided by
    HydroShare
    Authors
    Arash Modaresi Rad
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1984 - Dec 31, 2020
    Description

    A Google Earth Engine App developed to delineate water bodies around the globe from 1984 until present and to provide 16 day estimates of surface area of water bodies as well as shapefiles to the user. The app uses a novel framework to filters only those images that cloud is on top of the water body and allows users to choose from a list of spectral water indices to map water bodies. The app also allows users to select the choice of threshold (i.e., a fixed zero threshold or dynamic threshold to separate water form non-water background).

  12. n

    ESA Land Cover Climate Change Initiative (Land_Cover_cci): Water Bodies Map,...

    • cmr.earthdata.nasa.gov
    • fedeo.ceos.org
    • +2more
    not provided
    Updated Jun 17, 2025
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    (2025). ESA Land Cover Climate Change Initiative (Land_Cover_cci): Water Bodies Map, v4.0 [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C2548143235-FEDEO.html
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    not providedAvailable download formats
    Dataset updated
    Jun 17, 2025
    Time period covered
    Jan 1, 2000 - Dec 31, 2012
    Area covered
    Earth
    Description

    As part of the ESA Land Cover Climate Change Initiative (CCI) project a static map of open water bodies at 150 m spatial resolution at the equator has been produced. The CCI WB v4.0 is composed of two layers:1. A static map of open water bodies at 150 m spatial resolution resulting from a compilation and editions of land/water classifications: the Envisat ASAR water bodies indicator, a sub-dataset from the Global Forest Change 2000 - 2012 and the Global Inland Water product.This product is delivered at 150 m as a stand-alone product but it is consistent with class "Water Bodies" of the annual MRLC (Medium Resolution Land Cover) Maps. The product was resampled to 300 m using an average algorithm. Legend : 1-Land, 2-Water2. A static map with the distinction between ocean and inland water is now available at 150 m spatial resolution. It is fully consistent with the CCI WB-Map v4.0. Legend: 0-Ocean, 1-Land.To cite the CCI WB-Map v4.0, please refer to : Lamarche, C.; Santoro, M.; Bontemps, S.; D’Andrimont, R.; Radoux, J.; Giustarini, L.; Brockmann, C.; Wevers, J.; Defourny, P.; Arino, O. Compilation and Validation of SAR and Optical Data Products for a Complete and Global Map of Inland/Ocean Water Tailored to the Climate Modeling Community. Remote Sens. 2017, 9, 36. https://doi.org/10.3390/rs9010036

  13. f

    RWDB2 Surface Water Bodies for Africa

    • data.apps.fao.org
    Updated Mar 1, 2024
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    (2024). RWDB2 Surface Water Bodies for Africa [Dataset]. https://data.apps.fao.org/map/catalog/srv/resources/persons/dooley%40sdsmap.com
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    Dataset updated
    Mar 1, 2024
    Description

    This dataset derives from the RWDB_SWB-PY shapefile data layer which covers the entire globe and is comprised of 8750 derivative vector framework library features derived based on 1:3,000,000 data originally from RWDBII. The original dataset is an enhanced SWB polygonal derivative based on 4 separate RWDB2 Library layers. The layer provides nominal analytical/mapping at 1:3,000,000. Acronyms and Abbreviations: RWDB2 or RWDB II- Relational World Database II SWB - Surface Water Body

  14. w

    Global Lakes and Wetlands Database - Dataset - waterdata

    • wbwaterdata.org
    Updated Jan 26, 2021
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    (2021). Global Lakes and Wetlands Database - Dataset - waterdata [Dataset]. https://wbwaterdata.org/dataset/global-lakes-and-wetlands-database
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    Dataset updated
    Jan 26, 2021
    Description

    The Global Lakes and Wetlands Database (GLWD) includes the best available data sources and GIS functionality for global lakes and wetlands focused on three scales (1) large lakes and reservoirs, (2) smaller water bodies, and (3) wetlands. The map scaless provided range from 1:1 to 1:3 million resolution. Level 1 (GLWD-1) comprises the 3,067 largest lakes (area ≥ 50 km2) and 654 largest reservoirs (storage capacity ≥ 0.5 km3) worldwide, and includes extensive attribute data. Level 2 (GLWD-2) comprises permanent open water bodies with a surface area ≥ 0.1 km2 excluding the water bodies contained in GLWD-1. Level 3 (GLWD-3) comprises lakes, reservoirs, rivers and different wetland types in the form of a global raster map at 30-second resolution.

  15. f

    Harmonized DCW-VMap0 Surface Water Bodies

    • data.apps.fao.org
    Updated Aug 28, 2020
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    (2020). Harmonized DCW-VMap0 Surface Water Bodies [Dataset]. https://data.apps.fao.org/map/catalog/us/search?keyword=surf.%20water%20bodies
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    Dataset updated
    Aug 28, 2020
    Description

    Seamless and topologically robust derivative of source DCW and VMap0 perennial/non-perennial SWBs from VMAP0-IW, DCW-DNNET and DCW-LCPOLY sources. The DNIW_HYD shapefile data layer is comprised of 25673 derivative vector surface water bodies features derived based on 1:1 000 000 data originally from DCW. The layer provides nominal analytical/mapping at 1:1 000 000. Seamlessly complete globally, with consolidation-harmonization @ ~70%, this Africa subset at final. Acronyms and Abbreviations: DCW - Digital Chart of the World; VMap0 - Vector Map for Level 0; SWBs - Surface Waterbodies; DNNET - Drainage Network layer; LCPOLY - Land Cover layer.

  16. c

    Ocean Basemap

    • caribbeangeoportal.com
    • data.amerigeoss.org
    • +2more
    Updated Mar 19, 2020
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    Caribbean GeoPortal (2020). Ocean Basemap [Dataset]. https://www.caribbeangeoportal.com/maps/df6d345f399a4b299d0274634eee7ab7
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    Dataset updated
    Mar 19, 2020
    Dataset authored and provided by
    Caribbean GeoPortal
    Area covered
    Description

    This map is designed to be used as a basemap by marine GIS professionals and as a reference map by anyone interested in ocean data. The basemap includes bathymetry, marine water body names, undersea feature names, and derived depth values in meters. Land features include administrative boundaries, cities, inland waters, roads, overlaid on land cover and shaded relief imagery.The map was compiled from a variety of best available sources from several data providers, including General Bathymetric Chart of the Oceans GEBCO_08 Grid version 20100927 and IHO-IOC GEBCO Gazetteer of Undersea Feature Names August 2010 version (https://www.gebco.net), National Oceanic and Atmospheric Administration (NOAA) and National Geographic for the oceans; and DeLorme, HERE, and Esri for topographic content. The basemap was designed and developed by Esri.The Ocean Basemap currently provides coverage for the world down to a scale of ~1:577k; coverage down to ~1:72k in United States coastal areas and various other areas; and coverage down to ~1:9k in limited regional areas. You can contribute your bathymetric data to this service and have it served by Esri for the benefit of the Ocean GIS community. For details, see the Community Maps Program.Tip: Here are some famous oceanic locations as they appear in this map. Each URL below launches this map at a particular location via parameters specified in the URL: Challenger Deep, Galapagos Islands, Hawaiian Islands, Maldive Islands, Mariana Trench, Tahiti, Queen Charlotte Sound, Notre Dame Bay, Labrador Trough, New York Bight, Massachusetts Bay, Mississippi Sound

  17. r

    Earth Observation-Water Toolkit

    • researchdata.edu.au
    • data.nsw.gov.au
    Updated Sep 11, 2024
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    NSW Department of Climate Change, Energy, the Environment and Water (2024). Earth Observation-Water Toolkit [Dataset]. https://researchdata.edu.au/earth-observation-water-toolkit/3384042
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    Dataset updated
    Sep 11, 2024
    Dataset provided by
    data.nsw.gov.au
    Authors
    NSW Department of Climate Change, Energy, the Environment and Water
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    The link points to a GitHub repository.\r This code repository presents an efficient Google Earth Engine (GEE)-based algorithm to mapping water surface area time-series in waterbodies from Landsat and Sentinel-2. Detailed documentation is contained to run the tool on a set of input waterbodies. The GitHub repository contains a set of Python scripts to automatically extract time-series of water surface area for a set of input polygons. \r \r NB: Google Earth Engine project is needed to run this toolkit.\r \r Image: Example Interactive Map\r https://github.com/user-attachments/assets/4485b25d-35d2-4af1-8de0-89e40a08f1e6" alt="example_interactive_map_resized">\r

  18. d

    Watersheds of the World

    • search.dataone.org
    Updated Nov 17, 2014
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    World Resources Institute (WRI); IUCN - The World Conservation Union; International Water Management Institute (IWMI); Ramsar Convention on Wetlands (2014). Watersheds of the World [Dataset]. https://search.dataone.org/view/Watersheds_of_the_World.xml
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    Dataset updated
    Nov 17, 2014
    Dataset provided by
    Regional and Global Biogeochemical Dynamics Data (RGD)
    Authors
    World Resources Institute (WRI); IUCN - The World Conservation Union; International Water Management Institute (IWMI); Ramsar Convention on Wetlands
    Time period covered
    Apr 1, 1992 - Jan 1, 2003
    Area covered
    Earth
    Description

    The Watersheds of the World is a comprehensive digital atlas of the world's river basins. The database is provided online and on CD-ROM by the Water Resources eAtlas, a collaborative product of WRI, IUCN, IWMI, and the Ramsar Convention on Wetlands. The Water Resources eAtlas embodies an ongoing effort to link, integrate, and communicate information on water resources management. The Watersheds of the World database is the first contribution to the eAtlas.

    The online version and CD-ROM of the Watersheds of the World provide maps and statistical data of land cover, land use, population density, and biodiversity for 154 basins and sub-basins around the world. The database lists indicators and variables for each of these basins and, where appropriate, provides links and references to relevant information. It further contains 20 global indicator maps at the basin level that portray issues affecting water resources and freshwater biodiversity.

    Colored buttons function as a menu to select individual basins by continent. Each continental menu provides access to interactive maps and lists of basins per continent through which you can access individual basin profiles.

    There is also a button for global indicator maps which links to the following:

    Primary Watersheds Map Freshwater Fish Species Richness by Basin Endemic Freshwater Fish Species by Basin Endemic Bird Areas by Basin Wetland Area by Basin Cropland Area by Basin Grassland, Savanna and Shrubland Area by Basin Forest Cover by Basin Remaining Original Forest Cover by Basin Dryland Area by Basin Urban and Industrial Area by Basin Protected Area by Basin Average Population Density by Basin Degree of River Fragmentation and Flow Regulation by Basin Annual Renewable Water Supply per Person by Basin for 1995 and Projections for 2025 Environmental Water Scarcity Index by Basin Large Dams under Construction by Basin Ramsar Sites by Basin Virtual Water Flows Selected Basins with IUCN and IWMI Projects

    All basin profiles and global maps can also be downloaded as PDFs.

  19. o

    DE Africa Waterbodies Monitoring Service

    • registry.opendata.aws
    Updated Jan 16, 2025
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    Digital Earth Africa (2025). DE Africa Waterbodies Monitoring Service [Dataset]. https://registry.opendata.aws/deafrica-waterbodies/
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    Dataset updated
    Jan 16, 2025
    Dataset provided by
    <a href="https://www.digitalearthafrica.org/">Digital Earth Africa</a>
    Description

    The Digital Earth Africa continental Waterbodies Monitoring Service identifies more than 700,000 water bodies from over three decades of satellite observations. This service maps persistent and seasonal water bodies and the change in their water surface area over time. Mapped water bodies may include, but are not limited to, lakes, ponds, man-made reservoirs, wetlands, and segments of some river systems.On a local, regional, and continental scale, this service helps improve our understanding of surface water dynamics and water availability and can be used for monitoring water bodies such as wetlands, lakes and dams in remote and/or inaccessible locations.

  20. n

    International World Map of Surface Water Networks and Water Bodies in...

    • gcmd.earthdata.nasa.gov
    Updated Apr 20, 2017
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    (2017). International World Map of Surface Water Networks and Water Bodies in Morocco; 1988 [Dataset]. https://gcmd.earthdata.nasa.gov/r/d/CE1d0040_173
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    Dataset updated
    Apr 20, 2017
    Time period covered
    Jan 1, 1974 - Jan 1, 1988
    Area covered
    Description

    This data asset contains various layers / covarages, such as: - Linear features like canals, drains, streams, etc. - Features of polygon shapes like lakes and lagoons Original Map name: CARTE INTERNATIONALE DU MONDE

    Originating center: Division de la Cartographie - Direction de la Conservation Fonciere et des traveaux topographiques.

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(2016). SRTM Water Body Data [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1220567909-USGS_LTA.html

SRTM Water Body Data

srtm_water_body_Not provided

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393 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 29, 2016
Time period covered
Jan 1, 1970 - Present
Area covered
Earth
Description

The SRTM Water Body Data files are a by-product of the data editing performed by the National Geospatial-Intelligence Agency (NGA) to produce the finished SRTM Digital Terrain Elevation Data Level 2 (DTED® 2). In accordance with the DTED® 2 specification, the terrain elevation data have been edited to portray water bodies that meet minimum capture criteria. Ocean, lake and river shorelines were identified and delineated. Lake elevations were set to a constant value. Ocean elevations were set to zero. Rivers were stepped down monotonically to maintain proper flow. After this processing was done, the shorelines from the one arc second (approx. 30-meter) DTED® 2 were saved as vectors in ESRI 3-D Shapefile format.

In most cases, two orthorectified image mosaics (one for ascending passes and one for descending passes) at a one arc second resolution were available for identifying water bodies and delineating shorelines in each 1 x1 cell. These were used as the primary source for water body editing. The guiding principle for this editing was that water must be depicted as it was in February 2000 at the time of the shuttle flight. A Landcover water layer and medium-scale maps and charts were used as supplemental data sources, generally as supporting evidence for water identified in the image mosaics. Since the Landcover water layer was derived mostly from Landsat 5 data collected a decade earlier than the Shuttle mission and the map sources had similar currency problems, there were significant seasonal and temporal differences between the depiction of water in the ancillary sources and the actual extent of water bodies in February 2000 in many instances. In rare cases, where the SRTM image mosaics were missing or unusable, Landcover was used to delineate the water in the SRTM cells. The DTED® header records for those cells are documented accordingly.

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