[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.

Complete Antarctic contour dataset at 1000 m intervals, split and labelled according to whether the contour represents an ice or rock surface. Data have been prepared from various map and remotely sensed datasets. This dataset has been generalised from the high resolution contour dataset. Further information regarding source and source data can be found within the high resolution attribute table. Certain inconsistencies and errors are currently known and a comprehensive update is planned for version 7.3.

AbstractA continuous, smoothed contour dataset at 500 m intervals for all land south of 60°S, excluding the Balleny Islands. The vertical datum of the contours is EGM2008. Contours are extracted primarily from the PGC Reference Elevation Model of Antarctica (REMA) v1.1 with certain islands filled from Copernicus WorldDEM. Peter I Øy contours are from the Norwegian Polar Institute. Sources of individual line segments are contained in the attribute table and full compilation information is given in the lineage statement.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 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 high resolution dataset at 100 m intervals is also published via Living Atlas.For background information on the ADD project, please see the British Antarctic Survey ADD project page.LineageAll processing described here was performed in ArcGIS Pro version 2.6.A composite Digital Elevation Model (DEM) was created comprising of three datasets from the Reference Elevation Model of Antarctica v1.1: ‘REMA_100m_peninsula_dem_filled’, ‘REMA_100m_dem’ and ‘REMA_200m_dem_filled’. These DEMs were first converted from ellipsoidal height to height above EGM2008 geoid and then mosaicked together in respective order at 100 m spatial resolution. This 100 m DEM was smoothed by performing ‘Focal Statistics’ using a 40x40 cell size.500 m contours were extracted and all contours with a height <1m were deleted, as well as erroneous offshore contours. In certain locations, primarily some islands on the Antarctic Peninsula, REMA data was insufficient to produce contours. In these places, contours were produced from the ‘Copernicus WorldDEM 90m’ DEM and smoothed by 4 km using a PAEK smoothing algorithm. Contours for Peter I Øy were incorporated from the Norwegian Polar Institute Data at 100 m intervals: 500 m intervals were extracted and smoothed by 800 m, to match the appropriate resolution of the main contours.All contours were merged together and lines <5 km in length were deleted. Further lines <20 km were deleted in ‘non-mountainous’ regions, so as to avoid deleting small mountain peak contours but to still simplify the main dataset. These regions were interpreted manually using the hillshade of the DEM used to produce the contours.Original DEM sources and citations:REMA: Howat, I. M., Porter, C., Smith, B. E., Noh, M.-J., and Morin, P.: The Reference Elevation Model of Antarctica, The Cryosphere, 13, 665-674, https://doi.org/10.5194/tc-13-665-2019 , 2019Copernicus WorldDEM: produced using Copernicus WorldDEM™-90 © DLR e.V. 2010-2014 and © Airbus Defence and Space GmbH 2014-2018 provided under COPERNICUS by the European Union and ESA; all rights reserved.Norwegian Polar Institute (2014). Map data / kartdata Peter I Øy 1:50 000 (P50 Kartdata). Norwegian Polar Institute. https://doi.org/10.21334/npolar.2014.29105abcCitationPlease cite this item as: 'Gerrish, L., Fretwell, P., & Cooper, P. (2020). Medium resolution vector contours for Antarctica (7.3) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/0779002b-b95d-432f-b035-b952c36aa5c9'. If using for a graphic or if short on space, please cite as 'data from the SCAR Antarctic Digital Database, accessed [year]'

This record consists of 5 different datasets covering the Alexander Island region of Antarctica: coastline (including grounding line and ice shelf fronts), contours, spot heights, rock outcrop and lakes. The data have been produced for a new topographic map of Alexander Island at 1:500,000 scale, produced by the Mapping and Geographic Information Centre, British Antarctic Survey. The data are suitable for a 1:500,000 scale map but may be suitable for larger scales in certain areas. They have been created from source data ranging from 2022 - 2025. The data primarily cover Alexander Island, and also cover Rothschild, Charcot and Latady islands, as well as Wilkins and George VI ice shelves, and the Rymill Coast section of Palmer Land on the Antarctic Peninsula. The datasets were created using a mixture of GIS software, primarily digitised from Sentinel-2 satellite imagery or extracted from high resolution, published elevation models. Exact details of each dataset can be found in the lineage statements.

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.

This tiled map service displays bathymetric contours derived from the GEBCO_2014 grid, version 20150318 (http://www.gebco.net), which is a global bathymetry compilation at 30 arc-second resolution. Depths are displayed in meters. At large scales (1:5,000,000 and closer), the contour interval is 500m; at medium scales (1:5,000,000 to 1:30,000,000) the contour interval is 1000m; and at small scales (1:30,000,000 and greater), the contour interval is 2000m. Supplementary contours are shown in shallow waters (less than 500m).

NOTE: Data from the GEBCO_2014 grid shall not be used for navigation or for any other purpose relating to safety at sea. The GEBCO_2014 Grid is largely based on a database of ship-track soundings with interpolation between soundings guided by satellite-derived gravity data. In some areas, data from existing grids are included. The GEBCO_2014 Grid does not contain detailed information in shallower water areas. Information concerning the generation of the grid can be found on GEBCO’s web site: http://www.gebco.net/data_and_products/gridded_bathymetry_data/.

The GEBCO_2014 Grid is accompanied by a Source Identifier (SID) Grid which indicates which cells in the GEBCO_2014 Grid are based on soundings or existing grids and which have been interpolated. The latest version of both grids and accompanying documentation is available to download, on behalf of GEBCO, from the British Oceanographic Data Centre (BODC) https://www.bodc.ac.uk/data/online_delivery/gebco/.

For NOAA/NCEI's color shaded-relief visualization of the GEBCO_2014 grid, please see: http://maps.ngdc.noaa.gov/arcgis/rest/services/web_mercator/gebco_2014_hillshade/MapServer (NOAA GeoPlatform link).
See here for a map with both hillshade and contours included.

Elevation contour lines within the Wye catchment at 10 and 20 metre intervals. The contour lines have been digitised from a scanned topographic map.

Elevation contour lines within the Severn catchment at 10 metre intervals. Digitised from the scanned topographic maps.

This dataset contains scans of Applied Geology Maps (AGMs) and sections, which are also known as thematic maps, Environmental Geology Maps (EGMs) or Planning for Development Maps (PfD). They were produced as part of 'Geological Background for Planning and Development' and preliminary sand and gravel projects carried out by the British Geological Survey for the Department of the Environment, Transport and the Regions (DETR), the Scottish Development Department and Scottish Office from 1975 to 1996. The maps and sections cover a number of themes (up to 22) for specific areas relating to the project area within the United Kingdom (which are mostly urban areas). Themes include simplified bedrock and superficial maps, drift thickness, drift lithology, rockhead contours and a range of mining-related themes. Each area had its own custom set of maps and were issued with an accompanying BGS Technical Report. The maps and report were sometimes issued as a pack, but for some areas they were made available separately. The geological linework and the methods used to produce the maps are those current at the time of production. Map scales are predominantly 1:10 000 or 1:25 000, with a few 1:50 000 maps. The maps have Ordnance Survey map bases and are bounded by the project area. The maps could be used for geological, engineering geological, environmental and resources research, as an information and reference resource and for inclusion in reports and papers. These maps are hard-copy paper records and digital scans, stored in the National Geoscience Data Centre (NGDC).

This vector contour dataset represents the temperature distribution at 7 km depth in the UK. Method described in Busby, J. and Terrington, R., 2017. Assessment of the resource base for engineered geothermal systems in Great Britain. Geothermal Energy, 5, pp.1-18 and were used to calculate the heat-in-place and recoverable heat in EGS systems.

Sheet 34 Total Magnetic Intensity Contour Map

This vector contour dataset represents the calculated, estimated temperature distribution at 100 m depth. Method described in Busby, J., Lewis, M., Reeves, H. and Lawley, R., 2009, August. Initial geological considerations before installing ground source heat pump systems. Geological Society of London.

This version of The Digital Chart of the World (DCW) is an Environmental Systems Research Institute, Inc. (ESRI) product originally developed for the US Defense Mapping Agency (DMA) using DMA data. This data was downloaded from the Penn State web site and then converted to Shapefile format using ArcMap.

This dataset is derived from the Vector Map (VMap) Level 0 database; the third edition of the Digital Chart of the World. The second edition was a limited release item published 1995 09. The product is dual named to show its lineage to the original DCW, published in 1992, while positioning the revised product within a broader emerging-family of VMap products.

VMap Level 0 is a comprehensive 1:1,000,000 scale vector basemap of the world. It consists of cartographic, attribute, and textual data stored on compact disc read only memory (CD-ROM). The primary source for the database is the National Imagery and Mapping Agency's (NIMA) Operational Navigation Chart (ONC) series. This is the largest scale unclassified map series in existence that provides consistent, continuous global coverage of essential basemap features. The database contains more than 1,900 megabytes of vector data and is organized into 10 thematic layers. The data includes major road and rail networks, major hydrological drainage systems, major utility networks (cross-country pipelines and communication lines), all major airports, elevation contours (1000 foot (ft), with 500ft and 250ft supplemental contours), coastlines, international boundaries and populated places.

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:

1. use Open Geospatial Consortium (OGC, recently renamed from the OpenGIS Consortium) technologies for map and data serving;

2. serve datasets for Europe and Africa, particularly Landsat TM and Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) data;

3. provide a website giving access to the served data;

4. 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.

http://iceds.ge.ucl.ac.uk/

The Vector Map (VMap) Level 0 database represents the fifth edition of the Digital Chart of the World. The third/fourth edition was published in 199701. The product is dual named to show its lineage to the original DCW, published in 1992, while positioning the revised product within a broader family of VMap products. VMap Level 0 (VMap0) is a comprehensive 1:1,000,000 scale vector basemap of the world. It consists of cartographic, attribute, and textual data stored on compact disc read only memory (CDROM). The primary source for the database is the National Imagery and Mapping Agency's (NIMA) Operational Navigation Chart (ONC) series. This is the largest scale unclassified map series in existence that provides consistent, continuous global coverage of essential basemap features. The database contains more than 1,900 megabytes of vector data and is organized into 10 thematic layers. The data include major road and rail networks, major hydrologic drainage systems, major utility networks (cross-country pipelines and communication lines), all major airports, elevation contours (metric equivalent of 1000 foot (ft), with 500ft and 250ft supplemental contours), coastlines, international and first order boundaries and populated places. This dataset contains data from the eurasia CD and covers north/western Europe incl. UK. Purpose: The VMap0 is a general purpose global database designed to support Geographic Information Systems applications. This dataset was downloaded as VMap Level 0 data from the NGA 'geoengine' website using the NGA Raster Roam tool (http://geoengine.nga.mil/geospatial/SW_TOOLS/NIMAMUSE/webinter/rast_roam.html). The VMap data was loaded into CadCorp MapModeller and exported as Shapefiles using CadCorp. The field names were edited in ArcMap to remove spaces. The specification of the data and other metadata are included in the Zip file in the Metadata folder. The data is in the WGS 84 coordinate system. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-06-30 and migrated to Edinburgh DataShare on 2017-02-21.

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.

ISTAR (Imagerie STereo Appliquee au Relief or, in english, Stereo Imagery Applied to Relief) is a company specialising in DEM production by automatic correlation techniques. It makes use of aerial photographs or satellite imagery and markets two products ranges, namely AERIAL and SPOT. The DEM-derived products include orthoimages, area features by automatic extraction, linear features by semi-automatic extraction, computed contours lines and image maps. DEM production may also be based on digitized contour maps.

Since 1986, ISTAR has produced a total area of 1 million sq.km. from SPOT images at different resolutions (typical pixel size: 40m for XS, 20m for PA; typical Z standard deviation: 1/2 pixel).

ISTAR can meet very large capacity requirements (1 to 20 GB) of complex databases including standard components (DEMs, Orthoimages, Land Cover and Vectors Files, Scanned Maps) at different scales and formats. All products and their references are contained in a price list and are described in technical documentation.

For further information contact:

Alain Beinish Tel: +33 93 95 72 30 ISTAR FAX: +33 93 95 83 29 Bat. 2, Espace Beethoven Route des Lucioles 06560 VALBONNE FRANCE

This contour dataset complements 13 other datasets as part of a study that compared ancient settlement patterns with modern environmental conditions in the Jazira region of Syria.

This study examined settlement distribution and density patterns over the past five millennia using archaeological survey reports and French 1930s 1:200,000 scale maps to locate and map archaeological sites. An archaeological site dataset was created and compared to and modelled with soil, geology, terrain (contour), surface and subsurface hydrology and normal and dry year precipitation pattern datasets; there are also three spreadsheet datasets providing 1963 precipitation and temperature readings collected at three locations in the region. The environmental datasets were created to account for ancient and modern population subsistence activities, which comprise barley and wheat farming and livestock grazing.

These environmental datasets were subsequently modelled with the archaeological site dataset, as well as, land use and population density datasets for the Jazira region. Ancient trade routes were also mapped and factored into the model, and a comparison was made to ascertain if there was a correlation between ancient and modern settlement patterns and environmental conditions; the latter influencing subsistence activities.

This contour dataset was generated to determine if higher elevations affected rainfall patterns, which in turn, influenced water runoff. Higher precipitation and runoff could influence settlement patterns as water could be collected at lower elevations for the irrigation of short season cultigens.

The contour dataset was also used to generate digital elevation models (DEM) to demonstrate the effects of elevations and trade route patterns in the Jazira region. The contour intervals are 50 metres with the exception of those at the highest elevations where they are 25 metres.

Marcus Weather Mapping (MWM) is an online, global weather / data mapping, visualization application that offers some unique features that no other current weather mapping system provides.

Below we highlight some features of MWM:

• Weather forecast and observational information updated every 6 hours • Non-static mapping - the ability to pan and zoom (to expose the highest level of station detail), a globally unique feature to Marcus Weather Mapping • Display preset areas OR build your own custom regions – again a feature unique to Marcus Weather Mapping
• Mapping variables include total precipitation, % normal precipitation, precipitation climatology, average/maximum/minimum temperature/temperature departures, GDDs, HDDs and CDDs (and departures) + others • Custom or pre-selected calendar dates (such as 5/10 days forward or 60/30 days back) up to a 180 day window • Historical Data selection - currently available from 2010, but will soon be adding data back to 2000 • The Yearly Comparison Tool, the ability to compare a weather variable for a user selected time period, against the same time period from a selected year – showing the difference between years • The Forecast Comparison Tool, the ability to compare forecast data from a previous forecast, to the current forecast, showing how the forecast has changed • Other mapping options include, map build speed, display density, choice of unit designation, coloring options, map contours, weather overlay opacity and map base layer options • A screenshot button for the current map created, weather fixed or zoomed • Satellite Imagery, Including: Normalized Difference Vegetation Index (NDVI), Vegetation Health Index (VHI), Thermal Condition Index (TCI) and Moisture Condition Index (VCI). Map Satellite Images for both preset AND user defined mapping areas. • Global Surface Soil Moisture, Root Zone Soil Moisture, Surface Soil Temperature, 10cm Subsurface Soil Temperature, 20cm Subsurface Soil Temperature. • Satellite Imagery Comparison Tool (SICT) – Compare any satellite image to another from a different time period, assessing change between the two satellite images. The SICT comes in two presentation modes, color change and Improve/Deteriorate View • MWM twitter, keeping users up to date of changes, improvements, bugs and other announcements – the twitter feedback be found here: MWM Twitter - https://twitter.com/MWMapping

Geological map of Kenya with bouguer gravity contours overlaid. Data was compiled from observations listed in Swain and Khan, 1977, 'Kenya, a catalogue of gravity measurements' by Leicester University (same authors) using a density of 2.67, datum IGSN 1971 and 1967 gravity formula. Contours are in mgl (milli galileo - measure of gravity) as positive and negative values. West of 37 deg 30' Long. Contours by Beicip every 5mgl from station data recorded on tapes by Leicester University. Updated from Amoco data in Lotikipi Gatome area by Beicip-Franlab 2001. East of 37 deg 30' Long. Contours every 10mgl from Bouger map of Kenya, 1982 at 1: 1 000 000, Leicester University. Modified by Beicip with additional information in the Garissa-wajir area and offshore area.

The Mean Annual Temperature map was calculated by creating a contour map using compiled 10 meter firn temperature data from NSIDC and other mean annual temperature data from both cores and stations.

The 10 meter data contains temperature measurements dating back to 1957 and the International Geophysical Year, including measurements from several major recent surveys. Data cover the entire continental ice sheet and several ice shelves, but coverage density is generally low.

Data are stored in Microsoft Excel and Tagged Image File Format (TIFF), and are available sporadically from 1957 to 2003 via FTP.