https://artefacts.ceda.ac.uk/licences/specific_licences/ncaveo_lcm2000.pdfhttps://artefacts.ceda.ac.uk/licences/specific_licences/ncaveo_lcm2000.pdf
This dataset contains 25m resolution raster formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Thorney Island, South Coast of England, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data.
https://artefacts.ceda.ac.uk/licences/specific_licences/ncaveo_lcm2000.pdfhttps://artefacts.ceda.ac.uk/licences/specific_licences/ncaveo_lcm2000.pdf
This dataset contains level 2 vector formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Thorney Island, South Coast of England, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data.
The results of the habitat mapping exercise were derived from aerial photography interpretation (API). The shapefiles produced are available to holders of OS MasterMap licenses. The habitat mapping dataset is held at Plymouth Coastal Observatory however, the Environment Agency is responsible for the GIS data as it was creating using their MasterMap licence. The survey extends from Portland Bill in Dorset to Avonmouth in Bristol and includes the Isles of Scilly. The landward limit of the survey varied but in general is determined by one of the following: Extent of aerial photography; Indicative tidal floodplain; Sites of Special Scientific Interest (SSSIs); Extent of coastal BAP habitats; 5m contour with a 200m landward buffer ; Inclusion of other target habitats. The habitat map was originally created using the Integrated Habitat Survey (IHS) classification originally developed by Somerset Environmental Records Centre. The classification was broadened to include all coastal habitats in South West England. The IHS classification had been substantially modified for the purposes of the habitat mapping. THIS was converted to EUNIS L3 by Ian Saunders at NE and forms the data NE provided to the JNCC as part of the MCZ project ÔÇô Tranche 1. A MESH Confidence Score of 86 was assigned to the dataset based on the information given in the reports supporting the GIS.
Orthorectified aerial photography used was flown to a scale of 1:5000. Photography was flown at low tide on a spring tide between the months of April and September to ensure maximum vegetation coverage. As a result of this and due to adverse weather conditions over some of the key tidal windows the whole project area was not captured in one block, but flown in stages between 2006 and 2009. Although ground-truthing was undertaken to support and validate the habitat map, not all areas were ground-truthed.
This Story Map is a detailed description of the walk across England I took with my mom in May of 2015. Wainwright's Coast to Coast trail in northern England is 192 miles long and spans from the Irish Sea on the west coast to the North Sea on the east coast. The three national parks we hiked through are highlighted with a detailed digital elevation model (DEM) to show the type of topography we walked through. For more information about Wainwright's Coast to Coast trail, visit www.wainwright.org.uk or contact me at joh02866@umn.edu.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
The HABMAP project was set up in response to the need for better spatial awareness of habitat distributions in the Southern Irish Sea. This work produced habitat maps of the seabed using novel predictive modelling techniques. This dataset is related to the predictive modelling only. The HABMAP Extension Project has built on the methods developed during the original project, and has repeated the modelling work using higher resolution / improved input datasets to help increase the accuracy of the predictive map outputs. The modelling work has also been extended to cover all of Welsh waters (previously cut-off at the Interreg funding boundary), notably including the Dee and Severn estuaries. The purpose of this data capture was to provide seabed habitat maps that could be used for con servation and management. Project outputs might be used in strategic planning, decision making for offshore developments, Marine Protected Area selection, sensitivity mapping and mapping essential fish habitats. However, because of the way the has been produced, and the fact that some data has been modelled and derived, the maps are not appropriate to act as the sole evidence for any specific planning or regulatory decision or assessment without further supporting studies or evidence.
The project boundaries were as follows: Southern Irish Sea- land-based boundaries include the whole Welsh coast to the English border on the east side of the Dee Estuary in the north, and the whole Severn Estuary and Bristol Channel coastline in the south, extending as far as Morte Point (east of Ifracombe) in England. The southern project boundary then extends offshore (skirting the northern tip of Lundy) across to a point approx 60km west of Waterford on the Irish coast, including the whole SE Ireland coastline and offshore banks as well as parts of the Celtic Sea. The boundary then extends northwards along the Irish coast to a point approximately 40 km north of Dublin.
Coastline for Antarctica created from various mapping and remote sensing sources, consisting of the following coast types: ice coastline, rock coastline, grounding line, ice shelf and front, ice rumple, and rock against ice shelf. Covering all land and ice shelves south of 60°S. Suitable for topographic mapping and analysis. High resolution versions of ADD data are suitable for scales larger than 1:1,000,000. The largest suitable scale is changeable and dependent on the region.
Major changes in v7.5 include updates to ice shelf fronts in the following regions: Seal Nunataks and Scar Inlet region, the Ronne-Filchner Ice Shelf, between the Brunt Ice Shelf and Riiser-Larsen Peninsula, the Shackleton and Conger ice shelves, and Crosson, Thwaites and Pine Island. Small areas of grounding line and ice coastlines were also updated in some of these regions as needed.
Data compiled, managed and distributed by the Mapping and Geographic Information Centre and the UK Polar Data Centre, British Antarctic Survey on behalf of the Scientific Committee on Antarctic Research.
Further information and useful links
Map projection: WGS84 Antarctic Polar Stereographic, EPSG 3031. Note: by default, opening this layer in the Map Viewer will display the data in Web Mercator. To display this layer in its native projection use an Antarctic basemap.
The currency of this dataset is May 2022 and will be reviewed every 6 months. This feature layer will always reflect the most recent version.
For more information on, and access to other Antarctic Digital Database (ADD) datasets, refer to the SCAR ADD data catalogue.
A related medium resolution dataset is also published via Living Atlas, as well medium and high resolution polygon datasets.
For background information on the ADD project, please see the British Antarctic Survey ADD project page.
Lineage
Dataset compiled from a variety of Antarctic map and satellite image sources. The dataset was created using ArcGIS and QGIS GIS software programmes and has been checked for basic topography and geometry checks, but does not contain strict topology. Quality varies across the dataset and certain areas where high resolution source data were available are suitable for large scale maps whereas other areas are only suitable for smaller scales. Each line has attributes detailing the source which can give the user further indications of its suitability for specific uses. Attributes also give information including 'surface' (e.g. grounding line, ice coastline, ice shelf front) and revision date. Compiled from sources ranging in time from 1990s-2022 - individual lines contain exact source dates.
This geophysical survey was carried out under contract for the Marine Aggregate Levy Sustainability Fund (MALSF) as part of a Regional Environmental Characterisation, the survey took place from the 8th March to the 18th March 2010. This project is to extend the mapped coverage of the Eastern English Channel Marine Habitat Map (EECMHM) to include the coastal platform from Saltdean east to Dungeness and provide an integrated map dataset covering this extension area The geophysical data was acquired using Surface Tow Boomer and Sidescan sonar equipment. Technical detail of the survey are contained in BGS Open Report OR/10/052.
This service contains various Aquaculture data. This includes Shellfish Production, Optimum Sites of Aquaculture potential (AQ1), Bivalve Classification area and Areas of Future Potential for Aquaculture. ------------------------------------------------------------------------------------------------------------The Shellfish Production dataset shows shellfish farm species production data grouped by water body. Water bodies were taken from the water framework directive (WFD) coastal and transitional water bodies database, and joined with the data from CEFAS. Data contains information on species present and production values. This dataset was created by ABPmer under contract to DEFRA (Contract reference MB106). An Excel spreadsheet was supplied to ABPmer by CEFAS which contained a list of waterbodies with the species cultivated per waterbody, production per waterbody and the number of businesses operating for 2007. The production data was joined to a shapefile containing waterbodies based on name of waterbody, and all sites where no shellfish cultivation occurred were removed. The same procedure was repeated with the data of species present. A shapefile containing both number of species grown and tonnes produced per waterbody was created by merging the two datasets based on waterbody name. ------------------------------------------------------------------------------------------------------------The Optimum Sites of Aquaculture Potential (AQ1) dataset shows areas identified through GIS modelling of suitable environmental conditions in East Coast Inshore and Offshore Marine Plan Areas favourable for macroalgae culture, Bivalve Bottom Culture, Finfish Cage, Lobster Restocking, Rope Cultured Bivalve Shellfish or Trestle/Bag Culture of Bivalves. This dataset has been derived from of a wider study assessing aquaculture potential in the South and East Marine Plan Areas for the Marine Management Organisation, project MMO1040. It was created using the Natural Resource model which forms part of the MMO project 1040 Spatial Trends in Aquaculture Potential in the South and East Coast Inshore and Offshore Marine Plan Areas. The Natural Resource model is made up of three existing environmental datasets: bathymetry derived from the Department of Food and Rural Affairs (Defra) Digital Elevation Model (DEM), predicted seabed sediments and combined seabed energy, both from UKSeaMap 2010 (McBreen, et al., 2010). Suitable environmental conditions applied include - low-moderate seabed energy, any sediment type and 10-25 m water depth for current potential. The depth limitations in this instance are based on the industry current reliance on scuba-divers for maintenance and husbandry. It is anticipated that as the industry develops it will become less reliant on divers and be able to move into deeper waters. Note that although the Natural Resource model used the best environmental data available for use in the study but there are significant limitations and gaps. These are outlined below and are discussed in more detail in the final project report: The model does not contain any measure of water quality (e.g. dissolved oxygen, sediment loading or contaminants) and therefore is likely to overestimate the area deemed suitable for aquaculture developments, particularly fin fish cage culture, rope grown bivalve culture and macroalgae culture. The UKSeaMap 2010 predicted seabed sediment map (McBreen, et al., 2010) is modelled at a coarse scale which has led to inaccuracies in the identification of areas which have potential for aquaculture development. UKSeaMap 2010 is known to under-estimate rock habitats because of the type of sampling data (sediment grabs) used to underpin the model. The MMO is working with JNCC to develop these data to lead to improvements in future models. The UKSeaMap 2010 combined seabed energy map included in the model (McBreen, et al., 2010) provides an approximation of the environmental conditions that are likely to limit aquaculture development (e.g. strong currents and large waves) but more accurate results could be obtained by using more precise component datasets such as the maximum wave height and tidal current range, where these datasets are available and the precise limitations of the aquaculture activities of interest are known. The dataset shows potential based on current technologies as defined in Table 10 of the MMO1040 Aquaculture Potential Final Report which is published on the MMO website's evidence pages. ------------------------------------------------------------------------------------------------------------The Bivalve Classification dataset classifies where the production of shellfish can be commercially harvested. All areas listed are designated for species that may be harvested as well as the classification of the shellfish waters. Classification of harvesting areas is required and implemented directly in England and Wales under European Regulation 854/2004. The co-ordination of the shellfish harvesting area classification monitoring programme in England and Wales is carried out by the Centre for Environment, Fisheries and Aquaculture Science, Weymouth (Cefas) on behalf of the Food Standards Agency (FSA). Cefas will make recommendations on classification according to an agreed protocol with the FSA making all final classification decisions and setting out the overall policy. Shellfish production areas are classified according to the extent to which shellfish sampled from the area are contaminated with E. coli. The Classification Zones/Production areas delineate areas where shellfish may be commercially harvested. Coordinates for the zone boundaries are calculated during a sanitary (ground) survey of the production area and where appropriate they are based on the OS Mastermap Mean High Water Line (coordinate accuracy <10m). The maps/zones are correct at time of publication but are updated when necessary depending on hygiene testing results. The current maps (jpgs) are available from the Cefas website ( https://www.cefas.co.uk/publications-data/food-safety/classification-and-microbiological-monitoring/england-and-wales-classification-and-monitoring/classification-zone-maps ) or a listing is available from the FSA website ( http://www.food.gov.uk/enforcement/monitoring/shellfish/shellharvestareas ) ------------------------------------------------------------------------------------------------------------The Current Aquaculture Potential layer highlights areas identified through GIS modelling of suitable environmental conditions in the South and East Marine Plan Areas favourable for macroalgae culture, Bivalve Bottom Culture, Finfish Cage, Lobster Restocking, Rope Cultured Bivalve Shellfish or Trestle/Bag Culture of Bivalves in the South and East Coast Marine Plan Areas. This dataset forms part of a wider study assessing different aquaculture potential in the South and East Marine Plan Areas for the Marine Management Organisation, project MMO1040. This dataset was created using the Natural Resource model which forms part of the MMO project 1040 Spatial Trends in Aquaculture Potential in the South and East Coast Inshore and Offshore Marine Plan Areas. The Natural Resource model is made up of three existing environmental datasets: bathymetry derived from the Department of Food and Rural Affairs (Defra) Digital Elevation Model (DEM), predicted seabed sediments and combined seabed energy, both from UKSeaMap 2010 (McBreen, et al., 2010). Suitable environmental conditions applied include - low-moderate seabed energy, any sediment type, 10-25 m water depth for current potential and 25-50 m water depth for near future potential). The depth limitations in this instance are based on the industry current reliance on scuba-divers for maintenance and husbandry. It is anticipated that as the industry develops it will become less reliant on divers and be able to move into deeper waters. Note that although the Natural Resource model used the best environmental data available for use in the study, there are significant limitations and gaps. These are outlined below and are discussed in more detail in the final project report: The Natural Resource model does not contain any measure of water quality (e.g. dissolved oxygen, sediment loading or contaminants) and therefore is likely to overestimate the area deemed suitable for aquaculture developments, particularly fin fish cage culture, rope grown bivalve culture and macroalgae culture. The UKSeaMap 2010 predicted seabed sediment map (McBreen, et al., 2010) is modelled at a coarse scale which has led to inaccuracies in the identification of areas which have potential for aquaculture development. UKSeaMap 2010 is known to under-estimate rock habitats because of the type of sampling data (sediment grabs) used to underpin the model. It is recommended that this component of the model is supplemented or replaced by higher resolution sediment maps where they are available for the region of interest. The UKSeaMap 2010 combined seabed energy map included in the model (McBreen, et al., 2010) provides an approximation of the environmental conditions that are likely to limit aquaculture development (e.g. strong currents and large waves) but more accurate results could be obtained by using more precise component datasets such as the maximum wave height and tidal current range, where these datasets are available and the precise limitations of the aquaculture activities of interest are known. The potential for development for the feature is "Current" (0-5 years), "Near Future" (5-10 years) or "Future" (10-20 years), the definitions of which are presented in Table 13 within the main report.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
A Natural England commissoined verification survey of intertidal sediments within the Thanet Coast rMCZ. Phase I Biotope mapping was carried out across the rMCZ for broad scale habitats. The data was used to produce a EUNIS Level 3 boradscale habitat map of the Thanet Coast rMCZ.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
The HABMAP project was set up in response to the need for better spatial awareness of habitat distributions in the Southern Irish Sea. This work produced habitat maps of the seabed using novel predictive modelling techniques. This dataset is related to the predictive modelling only. The HABMAP Extension Project has built on the methods developed during the original project, and has repeated the modelling work using higher resolution / improved input datasets to help increase the accuracy of the predictive map outputs. The modelling work has also been extended to cover all of Welsh waters (previously cut-off at the Interreg funding boundary), notably including the Dee and Severn estuaries. The purpose of this data capture was to provide seabed habitat maps that could be used for conservation and management. Project outputs might be used in strategic planning, decision making for offshore developments, Marine Protected Area selection, sensitivity mapping and mapping essential fish habitats. However, because of the way the has been produced, and the fact that some data has been modelled and derived, the maps are not appropriate to act as the sole evidence for any specific planning or regulatory decision or assessment without further supporting studies or evidence. The project boundaries were as follows: Southern Irish Sea- land-based boundaries include the whole Welsh coast to the English border on the east side of the Dee Estuary in the north, and the whole Severn Estuary and Bristol Channel coastline in the south, extending as far as Morte Point (east of Ifracombe) in England. The southern project boundary then extends offshore (skirting the northern tip of Lundy) across to a point approx 60km west of Waterford on the Irish coast, including the whole SE Ireland coastline and offshore banks as well as parts of the Celtic Sea. The boundary then extends northwards along the Irish coast to a point approximately 40 km north of Dublin. The outputs of the project included a Combined Level3/Level4 habitat map, presented here after translation to the EUNIS habitat classification system from the Marine Habitat Classification System for Britain and Ireland. Each polygon of the original output contained up to 46 different biotopes, either predicted by the model or recorded as present, and presented in order of likelihood. Only the primary biotope has been taken from the original dataset to produce this EUNIS output, polygons originally containing more than one habitat are flagged in the "VAL_COMM" field. Information on whether the biotope was recorded as present or was a predictive output of the model, and a confidence value present in the original dataset have also been recorded in the "VAL_COMM" field
A series of maps covering the north and south coastal areas of Kenya. The original survey was undertaken as a project under the British Technical co-operation programme arranged between the Government of Kenya and the Government of the United Kingdom (Overseas development Administration. The geological mapping was carried out between 1977 and 1980. The topographic backdrop was derived from the 1: 50 000 scale Y731 Series with updated road information. Each map shows a coastal section and the geology associated with it. The maps are black and which and rely on the map codes to identify the geology at any given location.
This statistical release provides breakdowns of individual insolvencies in England and Wales, at region, county, unitary authority and local authority levels. It also includes age and gender breakdowns of individual insolvencies at region level. The statistics cover the calendar years 2000 to 2013, including revisions to data from 2000 to 2012 where applicable.
Individual Insolvencies by Region was first published in 2009, covering the period 2000-2008. It has been as designated as Experimental Statistics – new Official Statistics which are undergoing evaluation – each year since then.
In 2013, the Insolvency Service consulted users about the usefulness of these statistics and acted on feedback received. The methods used to produce these statistics are stable and so the Insolvency Service has removed the Experimental Statistics designation.
These statistics will be designated as Official Statistics until they have been assessed by the UK Statistics Authority, who will judge whether they meet the quality standards of National Statistics.
Due to technical difficulties, the Insolvency Service was unable to make the interactive map available to view on its website on the day of release of these statistics.
To view the interactive map, http://www.insolvencydirect.bis.gov.uk/map/interactivemap.zip" class="govuk-link">download the zip file and extract the contents to your computer. Navigate to the “unminified” folder and open the “index.html” file.
There was a breach of the Code of Practice on 9 July 2014, prior to publication. One Insolvency Service official who was not on the pre-release access list was given access to the statistics. The National Statistician’s Office was advised and a http://www.statisticsauthority.gov.uk/assessment/code-of-practice/breach-reports/individual-insolvency-statistics-by-region--2013.pdf" class="govuk-link">breach report was submitted.
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 GEBCO_2021 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 2.2 of the SRTM15+ data set between latitudes of 50 degrees South and 60 degrees North. This data set is a fusion of land topography with measured and estimated seafloor topography. This version of SRTM15+ is similar to version 2.1 [Tozer et al., 2020] with minor updates. Version 2.2 uses predicted depths based on the V29 gravity model [Sandwell et al., 2019] and approximately 400 small areas containing suspect data were visually identified and removed from the grid. 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_2021 Grid represents all data within the 2021 compilation. The compilation of the GEBCO_2021 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 are 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 primary GEBCO_2021 grid contains land and ice surface elevation information - as provided for previous GEBCO grid releases. In addition, for the 2021 release a version with under-ice topography/bathymetry information for Greenland and Antarctica is also available. The GEBCO_2021 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.
A very incomplete dataset of surface lakes in Antarctica. Data have been prepared from various map and remotely sensed datasets. Changes in v7.10 include new data for the South Orkney Islands and small regions of the Nordenskjold coast. Data compiled, managed and distributed by the Mapping and Geographic Information Centre and the UK Polar Data Centre, British Antarctic Survey on behalf of the Scientific Committee on Antarctic Research.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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AbstractCoastline for Antarctica created from various mapping and remote sensing sources, consisting of the following coast types: ice coastline, rock coastline, grounding line, ice shelf and front, ice rumple, and rock against ice shelf. Covering all land and ice shelves south of 60°S. Suitable for topographic mapping and analysis. This dataset has been generalised from the high resolution vector polyline. Medium resolution versions of ADD data are suitable for scales smaller than 1:1,000,000, although certain regions will appear more detailed than others due to variable data availability and coastline characteristics.Changes in v7.10 include updates to the coastline of Alexander Island and surrounding islands, and the ice shelf fronts of the Wilkins and Brunt ice shelves.Data compiled, managed and distributed by the Mapping and Geographic Information Centre and the UK Polar Data Centre, British Antarctic Survey on behalf of the Scientific Committee on Antarctic Research.Further information and useful linksMap projection: WGS84 Antarctic Polar Stereographic, EPSG 3031. Note: by default, opening this layer in the Map Viewer will display the data in Web Mercator. To display this layer in its native projection use an Antarctic basemap.The currency of this dataset is November 2024 and will be reviewed every 6 months. This feature layer will always reflect the most recent version.For more information on, and access to other Antarctic Digital Database (ADD) datasets, refer to the SCAR ADD data catalogue.A related high resolution dataset is also published via Living Atlas, as well medium and high resolution polygon datasets.For background information on the ADD project, please see the British Antarctic Survey ADD project page.LineageDataset compiled from a variety of Antarctic map and satellite image sources. The dataset was created using ArcGIS and QGIS GIS software programmes and has been checked for basic topography and geometry checks, but does not contain strict topology. Quality varies across the dataset and certain areas where high resolution source data were available are suitable for large scale maps whereas other areas are only suitable for smaller scales. Each line has attributes detailing the source which can give the user further indications of its suitability for specific uses. Attributes also give information including 'surface' (e.g. grounding line, ice coastline, ice shelf front) and revision date. Compiled from sources ranging in time from 1990s-2024 - individual lines contain exact source dates. This medium resolution version has been generalised from the high resolution version. All areas <0.1km² not intersecting anything else were deleted and the ‘simplify’ tool was used in ArcGIS with the ‘retain critical points’ algorithm and a smoothing tolerance of 50 m.CitationGerrish, L., Ireland, L., Fretwell, P., & Cooper, P. (2024). Medium resolution vector polylines of the Antarctic coastline (Version 7.10) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/bc81931c-4e8e-439a-b3c9-d3d1fdb109dfIf using for a graphic or if short on space, please cite as 'data from the SCAR Antarctic Digital Database, 2024'
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
In June 2000 the Geological Survey of Ireland (GSI) under the auspices of the Department of Public Enterprise (later moved to the Department of Communications, Marine and Natural Resources in 2002) awarded a contract to Global Ocean Technologies Limited (GOTECH) to undertake the Irish National Seabed Survey (INSS), Zone 3 Hydrographic Survey. This area, of some 413,760 square Kilometres, stretches from the 200 metre water depth line on the Western Seaboard of Ireland, westward into the full oceanic depths of the Atlantic Ocean. The INSS mapped to approximately the 200m contour. The project was completed in 2006.The INFOMAR programme is a joint venture between Geological Survey Ireland (GSI) and Marine Institute (MI) and is the successor to the Irish National Seabed Survey. INFOMAR aims to survey the remaining shelf and coastal waters between 2006 to 2026.It is a vector dataset. Vector data portrays the world using points, lines and polygons (areas). The zone data is shown as polygons. Each polygon holds information on the zone number, zone part, area (km2) and perimeter (m).The United Nations Convention on the Law of the Sea (UNCLOS), also called the Law of the Sea Convention or the Law of the Sea Treaty, is an international agreement that establishes a legal framework for all marine and maritime activities. Articles 3 and 4 of UNCLOS sets out what a territorial sea is and what is permitted. Territorial sea, as defined by the 1982 United Nations Convention on the Law of the Sea (UNCLOS), is a belt of coastal waters extending at most 12 nautical miles (22 km; 14 mi) from the baseline (usually the mean low-water mark) of a coastal state. The territorial sea is regarded as the sovereign territory of the state, although foreign ships (military and civilian) are allowed innocent passage through it, or transit passage for straits; this sovereignty also extends to the airspace over and seabed below. Adjustment of these boundaries is called, in international law, maritime delimitation.A state's territorial sea extends up to 12 nm (22 km; 14 mi) from its baseline. A nautical mile is 1,852 metres. If this would overlap with another state's territorial sea, the border is taken as the median point between the states' baselines, unless the states in question agree otherwise. A state can also choose to claim a smaller territorial sea.It is a vector dataset. Vector data portrays the world using points, lines and polygons (areas). The data is shown as a line.The exclusive economic zone is an area beyond and adjacent to the territorial sea, subject to the specific legal regime established in this Part, under which the rights and jurisdiction of the coastal State and the rights and freedoms of other States are governed by the relevant provisions of this Convention. An exclusive economic zone, as prescribed by the 1982 United Nations Convention on the Law of the Sea, is an area of the sea in which a sovereign state has exclusive rights regarding the exploration and use of marine resources, including energy production from water and wind.It stretches from the outer limit of the territorial sea (22.224 Km or 12 NM from the baseline) out to a maximum of 370.4 Km (or 200 nautical miles) from the coast of the state in question. It is also referred to as a maritime continental margin and, in colloquial usage, may include the continental shelf. The term does not include either the territorial sea or the continental shelf beyond the 200 nautical mile limit. The difference between the territorial sea and the exclusive economic zone is that the first confers full sovereignty over the waters, whereas the second is merely a "sovereign right" which refers to the coastal state's rights below the surface of the sea. The surface waters are international waters.It is a vector dataset. Vector data portrays the world using points, lines and polygons (areas). The data is shown as a line.The United Nations Convention on the Law of the Sea (UNCLOS), also called the Law of the Sea Convention or the Law of the Sea Treaty, is an international agreement that establishes a legal framework for all marine and maritime activities. Article 76 of UNCLOS sets out the definition of what the continental shelf is and what is permitted. The Geoscience Regulatory Office (GSRO) (formerly Petroleum Affairs Division (PAD)) a division of the Department of the Environment, Climate and Communications (DECC) has statutory responsibility for Ireland’s Continental Shelf.A state wishing to extend its shelf beyond 200 nautical miles must make a submission to the Commission on the Limits of the Continental Shelf. Ireland’s continental shelf physically extends beyond 200 nautical miles to the west and south of the country and, working together, the Departments of Foreign Affairs and of the Environment, Climate and Communications have in all made three submissions to the Commission – in 2005 in relation to the Porcupine Abyssal Plain, then jointly with France, Spain and the UK for the seabed of the Celtic Sea and Bay of Biscay, and finally for the Hatton Rockall area of the North East Atlantic in 2009.The submission concerning the Porcupine Abyssal Plain successfully resulted in the addition of 39,000 km² of seabed to the State’s continental shelf. The Commission has also made recommendations that would enclose an area of approx. 80,000 km² of seabed in the Celtic Sea and Bay of Biscay and the division of this area is currently under negotiation between the four countries concerned. In addition, regular discussions have taken place for a number of years between Ireland and the UK (who agreed continental shelf boundaries in 1988), Iceland and the Faroe Islands in relation to overlapping claims in the North East Atlantic.It is a vector dataset. Vector data portrays the world using points, lines and polygons (areas). The data is shown as a line.
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https://artefacts.ceda.ac.uk/licences/specific_licences/ncaveo_lcm2000.pdfhttps://artefacts.ceda.ac.uk/licences/specific_licences/ncaveo_lcm2000.pdf
This dataset contains 25m resolution raster formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Thorney Island, South Coast of England, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data.