[From The Landmap Project: Introduction, "http://www.landmap.ac.uk/background/intro.html"]
A joint project to provide orthorectified satellite image mosaics of Landsat,
SPOT and ERS radar data and a high resolution Digital Elevation Model for the
whole of the UK. These data will be in a form which can easily be merged with
other data, such as road networks, so that any user can quickly produce a
precise map of their area of interest.
Predominately aimed at the UK academic and educational sectors these data and
software are held online at the Manchester University super computer facility
where users can either process the data remotely or download it to their local
network.
Please follow the links to the left for more information about the project or
how to obtain data or access to the radar processing system at MIMAS. Please
also refer to the MIMAS spatial-side website,
"http://www.mimas.ac.uk/spatial/", for related remote sensing materials.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
The LIDAR Composite DTM (Digital Terrain Model) is a raster elevation model covering ~99% of England at 1m spatial resolution. The DTM (Digital Terrain Model) is produced from the last or only laser pulse returned to the sensor. We remove surface objects from the Digital Surface Model (DSM), using bespoke algorithms and manual editing of the data, to produce a terrain model of just the surface.
Produced by the Environment Agency in 2022, the DTM is derived from a combination of our Time Stamped archive and National LIDAR Programme surveys, which have been merged and re-sampled to give the best possible coverage. Where repeat surveys have been undertaken the newest, best resolution data is used. Where data was resampled a bilinear interpolation was used before being merged.
The 2022 LIDAR Composite contains surveys undertaken between 6th June 2000 and 2nd April 2022. Please refer to the metadata index catalgoues which show for any location which survey was used in the production of the LIDAR composite.
The data is available to download as GeoTiff rasters in 5km tiles aligned to the OS National grid. The data is presented in metres, referenced to Ordinance Survey Newlyn and using the OSTN’15 transformation method. All individual LIDAR surveys going into the production of the composite had a vertical accuracy of +/-15cm RMSE.
Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
License information was derived automatically
The digital topographic maps are generated from digital landscape and terrain models as well as the official real estate cadastre information system ALKIS and visualized according to the nationwide ATKIS signature catalogue. They are available in a maximum of 23 content levels (according to the technical regulations of the AdV) in three forms (individual levels, gray combination and color combination). The data are comprehensive and available in the uniform geodetic reference system and map projection for the state of Brandenburg. The raster data is divided into different levels according to cartographic content elements. They are delivered without page cuts as single-color individual levels (layers) and as colored combined editions in a uniform resolution. In addition, the data is offered in the standard sheet format (with map frame and legend) as a PDF and as a plotted map. They are available as web services, as raster data and as analogue map prints (plots). When using the data, the license conditions must be observed.
[from EDINA's description of Land-form PANORAMA data: "http://edina.ac.uk/digimap/description/products/panorama.shtml"]
Land-Form PANORAMA is a digital representation of the contours from Ordnance Survey's 1:50 000 scale Landranger maps. Contours are at 10 metre vertical intervals together with breaklines, lakes, coastline and a selection of spot heights to the nearest metre. Digital contour accuracy values are typically better than 3 metres root mean square error.
The Ordnance Survey has used the dataset to derive mathematically a digital terrain-model (DTM) dataset. The dataset consists of a grid of height values at 50 metre intervals interpolated from the contour data. Height values are rounded to the nearest metre. Accuracy varies according to the complexity of the terrain, from 2 metres in a hilly rural area to 3 metres in an urban lowland area. This data is only available for downloading to your machine.
DTM data can be used for terrain analysis of lines of sight and in applications such as visual impact studies, drainage analysis, site planning.
The LIDAR Composite DTM/DSM is a raster terrain model covering ~99% of England at 1m spatial resolution, produced by the UK Environment Agency in 2022. The model contains 3 bands of terrain data: a Digital Terrain Model (DTM), a first return Digital Surface Model (DSM), and a last return DSM. …
Series of 1: 100 000 scale topographic maps pubished between 1958 and 1978. Data was collated and published by War office and Air Ministry (United Kingdom) subsequently Ministry of Defence (United Kingdom)[GSGS]; Survey Kenya [SK]; Directorate of Overseas Surveys for the Kenya Government [D.O.S.] . Maps are projected using the East African Grids (Transverse Mercator(Clarke 1880); Arc (1960) (Clarke 1880). A small number of the maps are shown as using Arc (1950) (Clarke 1880) however, this dataum is usually used for map in Botswana, Malawi, Zambia and Zimbabwe. The map references for the sheets indicated to be in Arc (1950) (Clarke 1880) have been flagged to indicate this. Publishers: G.S.G.S. British War Office and Air Ministry/Ministry of Defence (United Kingdom); D.O.S. Directorate of Overseas Surveys for the Kenya Government; S.K Survey Kenya
https://vocab.nerc.ac.uk/collection/L08/current/LI/https://vocab.nerc.ac.uk/collection/L08/current/LI/
LIDAR is an airborne terrain mapping system, which uses a laser to measure the distance between the aircraft and the ground. This technique results in the production of cost effective terrain maps with a height accuracy of 10 to 15cm. Typically with spot heights between 1 to 4 metres spatially on the land surface. CASI is used to provide information on the colour of the environment. It is designed to provide a flexible system which is easy to transport and straightforward to install and operate in small aircraft. It can be used for detailed studies of the spectral characteristics of ground or water targets, which are imaged instantaneously in a large number of spectral wavebands (up to 288), covering the visible and near infra-red regions of the spectrum, between 430 nm and 870 nm. Spatial resolution can be varied from one to ten metres, depending on the flying altitude and lens configuration. New LIDAR and CASI data sets are being gathered from parts of England and Wales all the time. For details on coverage and extent contact the National Centre.
Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
License information was derived automatically
The topographic maps are generated from digital landscape and terrain models and the official real estate cadastre information system ALKIS and visualized according to the nationwide ATKIS signature catalogue. The topographic maps are comprehensive and available in the uniform geodetic reference system and map projection for the state of Brandenburg. They are available as analogue map prints (plots), as raster data and as web services. When using the data, the license conditions must be observed.
ESYS plc and the Department of Geomatic Engineering at University College London (UCL) have been funded by the British National Space Centre (BNSC) to develop a web GIS service to serve geographic data derived from remote sensing datasets. Funding was provided as part of the BNSC International Co-operation Programme 2 (ICP-2).
Particular aims of the project were to:
use Open Geospatial Consortium (OGC, recently renamed from the OpenGIS Consortium) technologies for map and data serving;
serve datasets for Europe and Africa, particularly Landsat TM and Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) data;
provide a website giving access to the served data;
provide software scripts, etc., and a document reporting the data processing and software set-up methods developed during the project.
ICEDS was inspired in particular by the Committee on Earth Observing Satellites (CEOS) CEOS Landsat and SRTM Project (CLASP) proposal. An express intention of ICEDS (aim 4 in the list above) was therefore that the solution developed by ESYS and UCL should be redistributable, for example, to other CEOS members. This was taken to mean not only software scripts but also the methods developed by the project team to prepare the data and set up the server. In order to be compatible with aim 4, it was also felt that the use of Open Source, or at least 'free-of-cost' software for the Web GIS serving was an essential component. After an initial survey of the Web GIS packages available at the time , the ICEDS team decided to use the Deegree package, a free software initiative founded by the GIS and Remote Sensing unit of the Department of Geography, University of Bonn , and lat/lon . However the Red Spider web mapping software suite was also provided by IONIC Software - this is a commercial web mapping package but was provided pro bono by IONIC for this project and has been used in parallel to investigate the possibilities and limitations opened up by using a commercial package.
https://vocab.nerc.ac.uk/collection/L08/current/UN/https://vocab.nerc.ac.uk/collection/L08/current/UN/
The GEBCO_2020 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. In regions outside of the Arctic Ocean area, the grid uses as a base Version 2 of the SRTM15_plus data set (Tozer, B. et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2020 Grid represents all data within the 2020 compilation. The compilation of the GEBCO_2020 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the gridded bathymetric data sets supplied by the Regional Centers, as sparse grids, i.e. only grid cells that contain data were populated, were included on to the base grid without any blending. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2020 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA.
The following text was abstracted from Bruce Gittings' Digital Elevation Data Catalogue: 'http://www.geo.ed.ac.uk/home/ded.html'. The catalogue is a comprehensive source of information on digital elevation data and should be retrieved in its entirety for additional information.
The European 1:1M database now includes the European Union (EU) plus Scandanavia & Eastern Europe. Cost is #355 per small country to #492 for large countries. Prices for the whole of Europe are also available.
Ireland is now part of the Europe 1:1M database, although actually captured at 1:500K and previously named Ireland 1:500K database.
Discounts are normally available for educational establishments. For research and teaching (excluding commercial research) the data can be obtained at very low prices through CHEST at Manchester University Computing Centre (Tel: 061 275 6099). Higher education users in ALL European countries excluding the former Warsaw Pact area (for the time being) may obtain data through CHEST following a new deal.
FABDEM (Forest And Buildings removed Copernicus DEM) is a global elevation map that removes building and tree height biases from the Copernicus GLO 30 Digital Elevation Model (DEM). The data is available at 1 arc second grid spacing (approximately 30m at the equator) for the globe. The FABDEM dataset is licensed under a Creative Commons "CC BY-NC-SA 4.0" license. For commercial use queries, please contact fabdem@fathom.global This dataset is published in support of the paper "A 30 m global map of elevation with forests and buildings removed" published by IOP in Environmental Research Letters at https://dx.doi.org/10.1088/1748-9326/ac4d4f. UPDATE 14/03/2022 - Tile N00E011_FABDEM_V1-0.tif was corrupted and has now been replaced. This has been reflected in the geotiff tags with the following text "NOTE=This file is a replacement for originally corrupted file for tile N00E011" -mo "UPDATED=2022-02-23"" UPDATE 18/01/2023 - A new version of this dataset is available as FABDEM V1-2 at https://doi.org/10.5523/bris.s5hqmjcdj8yo2ibzi9b4ew3sn Complete download (zip, 462.3 GiB)
The map allows you to pick any location of interest and quickly and simply create an elevation profile.Accurate elevation data from inside ArcGIS Online is used to produce an info-graphic for any area.Use as a front of class tool to explore with students, or as a resource for their own independent investigations.
Elevation contour lines within the Wye catchment at 10 and 20 metre intervals. The contour lines have been digitised from a scanned topographic map.
Title: Topographic map of the United Kingdom of Libya - Scale: 2000000 - Miscellaneous geologic investigations Map I-350 B - Sheet number/Numéro de feuille/Bladnummer: I-350-B
The NRSC's geocoding service allows SAR scenes from potentially any SAR sensor to be spheroid and terrain corrected. This puts the image into the map co-ordinates of a specified projection. A wide range of projections can be catered for. The geocoded version of the scene has the appearance of being taken vertically (as if the sensor is pointing down directly to the earth's surface instead of viewing it from an angle) which makes interpretation and further processing of the data easier and more natural.
In addition to the SAR images, a digital elevation model (DEM/DTM) of the area is required, preferably at 100m or better resolution. If a DEM is unavailable, a spheroid-corrected but not terrain-corrected image can still be produced.
The process can either be provided for supplied data or as part of a complete service of acquiring and processing imagery for requested areas/dates.
The T-SAR (Topographic SAR) software used to process the SAR imagery is capable of generating a number of additional products useful for interpreting the data, including:
Radiometrically Corrected Image (Calibrated Image): the radiometrically- corrected or calibrated image is a version of the SAR scene where the values of each pixel have been corrected for range (in the original SAR data pixels further from the sensor are dimmer), antenna pattern effects, and the effect of the angle of incidence between the radar beam and the earth's surface at the pixel.
Pixel Validity Mask (Mapped pixels, Shadow, Layover): this product identifies which SAR pixels are valid/invalid. Pixels may be invalid for several reasons. First, products based on the terrain will be invalid for areas that fall outside the DEM. Second, due to the physics of the SAR sensor, pixels that fall into areas of 'shadow' or 'layover' are invalid. A combined Pixel Validity Mask is available showing which pixels are valid after considering all three cases, or three separate masks can be generated showing the pixels invalidated by each effect, the Mapped Pixel Array (showing pixels which fall inside the DEM), the Layover Mask (showing areas of layover) and the Shadow Mask (showing areas of shadow).
Pixel Geoidal Heights: this is effectively the DEM transformed into the co-ordinate system of the original SAR image, i.e. the height of each SAR pixel is recorded.
Angles of Slope/Incidence: these two products respectively record the angle of slope of the earth's surface and the angle of incidence between the radar beam and the surface for each SAR pixel.
Projected Pixel Area: this product gives the area (in square metres) of the earth's surface contributing to each pixel in the SAR image.
These products can be generated in either the original SAR co-ordinates or map co-ordinates for a given projection (i.e. geocoded co-ordinates).
Finally, an Image to Map Look-up Table is available which gives the map co-ordinates of each pixel in the original SAR image.
The processed data can be supplied as either digital data (on Exabyte, CD- ROM or CCT), or in various hard-copy forms. Further details and prices for processing are available from the National Remote Sensing Centre (NRSC).
Y731 (1: 50 000 scale) Topographic Maps represents the main 1: 50 000 scale mapping covering large parts of Kenya. The maps illustrate the key topographic features both natural and man made. There have been multiple versions of the maps published. Not all versions of the maps are held by the Geodata Centre. Those which are currently held (November 2018) are listed. Publishers OSD Government of the United Kingdom (Crown Copyright); OSD(K) Government of the United Kingdom for the Government of Kenya; OSD(T) Government of the United Kingdom for the Government of Tanzania; OSD(U) Government of the United Kingdom; USD Department of Land and Surveys Uganda; ING French National Geographic Institute for the Government of Kenya; JICA Japan International Co-operation Agency for the Government of Kenya.
Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
License information was derived automatically
The topographic maps are generated from digital landscape and terrain models and the official real estate cadastre information system ALKIS and visualized according to the nationwide ATKIS signature catalogue. The topographic maps are comprehensive and available in the uniform geodetic reference system and map projection for the state of Brandenburg. They are available as analogue map prints (plots), as raster data and as web services. When using the data, the license conditions must be observed.
Dies ist ein Web-Map-Service (WMS) von Digital Terrain Model (DTM) Daten in Südwestengland mit einer Auflösung von 1m. Die DTM umfasst eine Fläche von 9424 km2, die das gesamte Land westlich von Exmouth (dh westlich von etwa 3 Grad 21 Minuten westlich) umfasst. Die DTM stellt das topographische Modell (Höhe) der nackten Erde dar. Der Datensatz ist Teil der Ergebnisse des Projekts Centre for Ecology & Hydrology South West (SW).
This map shows the extents of the various datasets comprising the World Elevation dynamic (Terrain, TopoBathy) and tiled (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) services.The map has pop-ups defined. Click anywhere on the map to reveal details about the data sources.Topography sources listed in the table below are part of Terrain, TopoBathy, Terrain 3D, TopoBathy 3D, World Hillshade and World Hillshade (Dark), while bathymetry sources are part of TopoBathy and TopoBathy 3D only. Data Source Native Pixel Size Approximate Pixel Size (meters) Coverage Primary Source Country/Region
Topography
Australia 1m 1 meter 1 Partial areas of Australia Geoscience Australia Australia
Moreton Bay, Australia 1m 1 meter 1 Moreton Bay region, Australia Moreton Bay Regional Council Australia
New South Wales, Australia 5m 5 meters 5 New South Wales State, Australia DFSI Australia
SRTM 1 arc second DEM-S 0.0002777777777779 degrees 31 Australia Geoscience Australia Australia
Burgenland 50cm 0.5 meter 0.5 Burgenland State, Austria Land Burgenland Austria
Upper Austria 50cm 0.5 meter 0.5 Upper Austria State, Austria Land Oberosterreich Austria
Austria 1m 1 meter 1 Austria BEV Austria
Austria 10m 10 meters 10 Austria Geoland Austria
Canada HRDEM 1m 1 meter 1 Partial areas of the southern part of Canada Natural Resources Canada Canada
Canada HRDEM 2m 2 meters 2 Partial areas of the southern part of Canada Natural Resources Canada Canada
Denmark 40cm 0.4 meter 0.4 Denmark SDFE Denmark
Denmark 10m 10 meters 10 Denmark SDFE Denmark
England 2m 2 meters 2 70 % of England Environment Agency England
Estonia 1m 1 meter 1 Estonia Estonian Land Board Estonia
Estonia 5m 5 meters 5 Estonia Estonian Land Board Estonia
Estonia 10m 10 meters 10 Estonia Estonian Land Board Estonia
Finland 2m 2 meters 2 Finland NLS Finland
Finland 10m 10 meters 10 Finland NLS Finland
Berlin 1m 1 meter 1 Berlin State, Germany Geoportal Berlin Germany
Hamburg 1m 1 meter 1 Hamburg State, Germany LGV Hamburg Germany
Nordrhein-Westfalen 1m 1 meter 1 Nordrhein-Westfalen State, Germany Land NRW Germany
Sachsen-Anhalt 2m 2 meters 2 Sachsen-Anhalt State, Germany LVermGeo LSA Germany
Hong Kong 50cm 0.5 meter 0.5 Hong Kong CEDD Hong Kong SAR
Italy TINITALY 10m 10 meters 10 Italy INGV Italy
Japan DEM5A *, DEM5B * 0.000055555555 degrees 5 Partial areas of Japan GSI Japan
Japan DEM10B * 0.00011111111 degrees 10 Japan GSI Japan
Latvia 1m 1 meter 1 Latvia Latvian Geospatial Information Agency Latvia
Latvia 10m 10 meters 10 Latvia Latvian Geospatial Information Agency Latvia
Latvia 20m 20 meters 20 Latvia Latvian Geospatial Information Agency Latvia
Lithuania 1m 1 meter 1 Lithuania NZT Lithuania
Lithuania 10m 10 meters 10 Lithuania NZT Lithuania
Netherlands (AHN3/AHN4) 50cm 0.5 meter 0.5 Netherlands AHN Netherlands
Netherlands (AHN3/AHN4) 10m 10 meters 10 Netherlands AHN Netherlands
New Zealand 1m 1 meter 1 Partial areas of New Zealand Land Infromation New Zealand (Sourced from LINZ. CC BY 4.0) New Zealand
Northern Ireland 10m 10 meters 10 Northern Ireland OSNI Northern Ireland
Norway 10m 10 meters 10 Norway NMA Norway
Poland 1m 1 meter 1 Partial areas of Poland GUGIK Poland
Poland 5m 5 meters 5 Partial areas of Poland GUGIK Poland
Scotland 1m 1 meter 1 Partial areas of Scotland Scottish Government et.al Scotland
Slovakia 10m 10 meters 10 Slovakia GKÚ Slovakia
Slovenia 1m 1 meter 1 Slovenia ARSO Slovenia
Madrid City 1m 1 meter 1 Madrid city, Spain Ayuntamiento de Madrid Spain
Spain 2m (MDT02 2019 CC-BY 4.0 scne.es) 2 meters 2 Partial areas of Spain IGN Spain
Spain 5m 5 meters 5 Spain IGN Spain
Spain 10m 10 meters 10 Spain IGN Spain
Varnamo 50cm 0.5 meter 0.5 Varnamo municipality, Sweden Värnamo Kommun Sweden
Canton of Basel-Landschaft 25cm 0.25 meter 0.25 Canton of Basel-Landschaft, Switzerland Geoinformation Kanton Basel-Landschaft Switzerland
Grand Geneva 50cm 0.5 meter 0.5 Grand Geneva metropolitan, France/Switzerland SITG Switzerland and France
Switzerland swissALTI3D 50cm 0.5 meter 0.5 Switzerland and Liechtenstein swisstopo Switzerland and Liechtenstein
Switzerland swissALTI3D 10m 10 meters 10 Switzerland and Liechtenstein swisstopo Switzerland and Liechtenstein
OS Terrain 50 50 meters 50 United Kingdom Ordnance Survey United Kingdom
3DEP 1m 1 meter 1 Partial areas of the conterminous United States, Puerto Rico USGS United States
NRCS 1m 1 meter 1 Partial areas of the conterminous United States NRCS USDA United States
FEMA LiDAR DTM 3 meters 3 Partial areas of the conterminous United States FEMA United States
NED 1/9 arc second 0.000030864197530866 degrees 3 Partial areas of the conterminous United States USGS United States
3DEP 5m 5 meters 5 Alaska, United States USGS United States
NED 1/3 arc second 0.000092592592593 degrees 10 conterminous United States, Hawaii, Alaska, Puerto Rico, and Territorial Islands of the United States USGS United States
NED 1 arc second 0.0002777777777779 degrees 31 conterminous United States, Hawaii, Alaska, Puerto Rico, Territorial Islands of the United States; Canada and Mexico USGS United States
NED 2 arc second 0.000555555555556 degrees 62 Alaska, United States USGS United States
Wales 2m 2 meters 2 70 % of Wales Natural Resources Wales Wales
WorldDEM4Ortho 0.00022222222 degrees 24 Global (excluding the countries of Azerbaijan, DR Congo and Ukraine) Airbus Defense and Space GmbH World
SRTM 1 arc second 0.0002777777777779 degrees 31 all land areas between 60 degrees north and 56 degrees south except Australia NASA World
EarthEnv-DEM90 0.00083333333333333 degrees 93 Global N Robinson,NCEAS World
SRTM v4.1 0.00083333333333333 degrees 93 all land areas between 60 degrees north and 56 degrees south except Australia CGIAR-CSI World
GMTED2010 7.5 arc second 0.00208333333333333 degrees 232 Global USGS World
GMTED2010 15 arc second 0.00416666666666666 degrees 464 Global USGS World
GMTED2010 30 arc second 0.0083333333333333 degrees 928 Global USGS World
Bathymetry
Canada west coast 10 meters 10 Canada west coast Natural Resources Canada Canada
Gulf of Mexico 40 feet 12 Northern Gulf of Mexico BOEM Gulf of Mexico
MH370 150 meters 150 MH370 flight search area (Phase 1) of Indian Ocean Geoscience Australia Indian Ocean
Switzerland swissBATHY3D 1 - 3 meters 1, 2, 3 Lakes of Switzerland swisstopo Switzerland
NCEI 1/9 arc second 0.000030864197530866 degrees 3 Puerto Rico, U.S Virgin Islands and partial areas of eastern and western United States coast NOAA NCEI United States
NCEI 1/3 arc second 0.000092592592593 degrees 10 Partial areas of eastern and western United States coast NOAA NCEI United States
CRM 1 arc second (Version 2) 0.0002777777777779 degrees 31 Southern California coast of United States NOAA United States
NCEI 1 arc second 0.0002777777777779 degrees 31 Partial areas of northeastern United States coast NOAA NCEI United States
CRM 3 arc second 0.00083333333333333 degrees 93 United States Coast NOAA United States
NCEI 3 arc second 0.00083333333333333 degrees 93 Partial areas of northeastern United States coast NOAA NCEI United States
USGS CoNED 1 - 3 meters 1, 2, 3 Partial coastal areas of eastern and western United States USGS United States
GEBCO 2021 ** 0.00416666666666666 degrees 464 Global GEBCO World
GEBCO 2014 0.0083333333333333 degrees 928 Global GEBCO World * Fundamental Geospatial Data provided by GSI with Approval Number JYOU-SHI No.1239 2016. ** GEBCO Compilation Group (2021) GEBCO 2021 Grid (doi:10.5285/c6612cbe-50b3-0cff-e053-6c86abc09f8f) *** Bathymetry datasets are part of TopoBathy and TopoBathy3D services only.Disclaimer: Data sources are not to be used for navigation/safety at sea and in air.
[From The Landmap Project: Introduction, "http://www.landmap.ac.uk/background/intro.html"]
A joint project to provide orthorectified satellite image mosaics of Landsat,
SPOT and ERS radar data and a high resolution Digital Elevation Model for the
whole of the UK. These data will be in a form which can easily be merged with
other data, such as road networks, so that any user can quickly produce a
precise map of their area of interest.
Predominately aimed at the UK academic and educational sectors these data and
software are held online at the Manchester University super computer facility
where users can either process the data remotely or download it to their local
network.
Please follow the links to the left for more information about the project or
how to obtain data or access to the radar processing system at MIMAS. Please
also refer to the MIMAS spatial-side website,
"http://www.mimas.ac.uk/spatial/", for related remote sensing materials.