OpenStreetMap WMS, bereitgestellt durch terrestris GmbH und Co. KG. Beschleunigt mit MapProxy (http://mapproxy.org/)
This site provides free access to Iowa geographic map data, including aerial photography, orthophotos, elevation maps, and historical maps. The data is available through an on-line map viewer and through Web Map Service (WMS) connections for GIS. The site was developed by the Iowa State University Geographic Information Systems Support and Research Facility in cooperation with the Iowa Department of Natural Resources, the USDA Natural Resources Conservation Service, and the Massachusetts Institute of Technology. This site was first launched in March 1999.
Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
The eAtlas delivers its mapping products via two Web Mapping Services, a legacy server (from 2008-2011) and a newer primary server (2011+) to which all new content it added. This record describes the primary WMS.
This service delivers map layers associated with the eAtlas project (http://eatlas.org.au), which contains map layers of environmental research focusing on the Great Barrier Reef and its neighbouring coast, the Wet Tropics rainforests and Torres Strait. It also includes lots of reference datasets that provide context for the research data. These reference datasets are sourced mostly from state and federal agencies. In addition to this a number of reference basemaps and associated layers are developed as part of the eAtlas and these are made available through this service.
This services also delivers map layers associated with the Torres Strait eAtlas.
This web map service is predominantly set up and maintained for delivery of visualisations through the eAtlas mapping portal (http://maps.eatlas.org.au) and the Australian Ocean Data Network (AODN) portal (http://portal.aodn.org.au). Other portals are free to use this service with attribution, provided you inform us with an email so we can let you know of any changes to the service.
This WMS is implemented using GeoServer version 2.3 software hosted on a server at the Australian Institute of Marine Science. Associated with each WMS layer is a corresponding cached tiled service which is much faster then the WMS. Please use the cached version when possible.
The layers that are available can be discovered by inspecting the GetCapabilities document generated by the GeoServer. This XML document lists all the layers, their descriptions and available rendering styles. Most WMS clients should be able to read this document allowing easy access to all the layers from this service.
For ArcMap use the following steps to add this service: 1. "Add Data" then choose GIS Servers from the "Look in" drop down. 2. Click "Add WMS Server" then set the URL to "http://maps.eatlas.org.au/maps/wms?"
Note: this service has over 1000 layers and so retrieving the capabilities documents can take a while.
This services is operated by the Australian Institute of Marine Science and co-funded by the National Environmental Research Program Tropical Ecosystems hub.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Sentinel-2 satellites provide images in the visible and infrared spectrum. Its 13 channels are optimised for observation of land surfaces. The high resolution of up to 10 m and the sampling width of 290 km are ideal for detecting changes in vegetation and, for example, creating harvest forecasts, mapping forest stocks or determining the growth of wild and crops. The instrument is also used on coasts and inland waters to observe algae growth or to track sediment input in river deltas. All data is accessible free of charge. On the basis of the data base of the Sentinel-2 satellite Digital Orthophoto (DOP) mosaics of Mecklenburg Vorpommern, the Office for Geoinformation, Surveying and Catastrophic Engineering Mecklenburg Vorpommern creates mosaics. Depending on the data situation, a mosaic is sought for each month. If necessary, pictures of the previous month are also used. These mosaics are offered as RGB and CIR images.
The digital topographic maps are presented as a free web map service in the area of Saxony-Anhalt. In terms of content, the ATKIS DTK100 spatial data set at a scale of 1:100,000 is accessed.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The Barnier Law of 2 February 1995 gives PSS a risk prevention plan (PPR) status, making them enforceable against third parties. The PSS is a document that establishes a utility easement affecting land use. It allows the administration to oppose any action or work likely to impede the free flow of water or the conservation of flood fields (Article R425-21 of the Urban Code). The Barnier Law of 2 February 1995 gives PSS a risk prevention plan (PPR) status, making them enforceable against third parties. The PSS is a document that establishes a utility easement affecting land use. It allows the administration to oppose any action or work likely to impede the free flow of water or the conservation of flood fields (Article R425-21 of the Urban Code). The Barnier Law of 2 February 1995 gives PSS a risk prevention plan (PPR) status, making them enforceable against third parties. The PSS is a document that establishes a utility easement affecting land use. It allows the administration to oppose any action or work likely to impede the free flow of water or the conservation of flood fields (Article R425-21 of the Urban Code).
https://www.cuzk.gov.cz/Predpisy/Podminky-poskytovani-prostor-dat-a-sitovych-sluzeb/Podminky-poskytovani-sitovych-sluzeb-CUZK.aspxhttps://www.cuzk.gov.cz/Predpisy/Podminky-poskytovani-prostor-dat-a-sitovych-sluzeb/Podminky-poskytovani-sitovych-sluzeb-CUZK.aspx
View service (WMS) for extended Administrative Units theme - Units eXtended (UX). Service is a non-harmonized extension of INSPIRE theme Administrative units (AU) by identification units, statistical units and historical units. The service is publicly available and free-of-charge and covers the whole territory of the Czech Republic. The service is operated online. Data is based on RÚIAN data (Register of Territorial Identification, Addresses and Real Estates). The service fulfils both technical instructions for INSPIRE view services v. 3.11 and the OGC WMS 1.1.1 and 1.3.0 standards.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset comprises all basement boreholes which have reached bedrock by passing through sedimentary sequences used for bore control of Free Air (FA) gravity data. These boreholes have been used to give better control for interpolating to FA gravity data.
The dataset was compiled by GHD to inform the report 'Potential Influences of Geological Structures on Groundwater Flow Systems' for DEPI's Secure Allocation Future Entitlements (SAFE) Project.
ADV WMS for displaying raster data of all digital, leaf-free topographic maps (DTK) of the scales 1:10000, 1:25000, 1:50000, 1:100000 in color. Topographic maps are location-descripting maps, which are issued as an immediate result of the topographical state survey for the Free State of Saxony, on various scales, in the federal standard sheet section and in a largely uniform design (character keys, coloring). Depending on the scale, the offered map level automatically changes to the corresponding product DTK10, DTK25, DTK50 and DTK100 at the following scales 8,500, 15,000 and 30,000.
The Copernicus project's Sentinel satellites are revolutionizing earth observation (EO). Its free, full and open access to data with very short revisit times, high spatial resolution, and good spectral resolution are crucial for many applications. The portfolio of possible products is vast - use-cases of such a service range from plant health monitoring, land and water body change, flood monitoring, disaster mapping and more.However the current gap between Sentinel source data and its end-users is large: ESA's complex Scientific Data Hub raster files are compressed with JPEG2000 (13 raster filesfor each product, one per spectral band) terabytes of data per week additional processing requirementsTackling the data in an old-fashioned way - offering individual derivative products simply does not work anymore, the associated time and costs are large and defeat most of the major benefits of the Sentinel project. Our approach combines cloud-based GIS technologies, parallel processing and fully automated procedures. To support the fast developing EO field we provide tools directly to end-users. on-the-fly processing and visualization make it possible to build new products (e.g. vegetation indices and similar) in a matter of minutes.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Presentation service (WMS) for a freely usable worldwide uniform web map based on free and official data sources. The product presents, among other things, free official geodata from the federal government and the open data countries Berlin, Brandenburg, Hamburg, North Rhine-Westphalia, Saxony and Thuringia. In addition, Mecklenburg-Western Pomerania and Rhineland-Palatinate provide their official spatial data for the TopPlusOpen as part of a cooperation agreement, so that these countries are presented exclusively by official data. In the other Länder and abroad, OSM data are mainly used in the corresponding zoom levels, which, from the BKG’s point of view, meet all quality requirements and can be combined almost seamlessly with official data. The web services of TopPlusOpen are offered via the standardised interfaces WMS and WMTS and are highly performant. 4 different variants are offered: — TopPlusOpen: Very detailed map representation in full tone colours — TopPlusOpen Greyscale: Identical to the full-tone variant; automatically generated grayscales — TopPlusOpen Light: Reduced content compared to the full-tone variant; Understated colouring — TopPlusOpen Light Grey: Identical content to the TopPlusOpen Light; Representation in grey tones and individual subtle colors (waters, boundaries) The TopPlusOpen web map is produced in two projections: — Pseudo-Mercator projection (EPSG:3857) — UTM32 (EPSG:25832) Pseudo-Mercator projection: The web map has 19 scale levels in this projection and is divided into three different display areas: — Worldwide representation for small scales — Europe-wide presentation for medium scales — Detailed description for Germany and neighbouring countries Projection UTM32: The web map has 14 scale levels in this projection and is divided into two display areas: — Europe-wide presentation for medium scales — Detailed description for Germany and neighbouring countries
The Hennepin County GIS (Geographic Information Systems) open data site offers GIS data to the public free of charge and without need for a license. This site provides the ability to explore, view, share and download data.
Service WMS mis en ligne par la plateforme Geo2France sur le territoire de la Région Hauts-de-France.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
ATTENTION: As of 13.04.2022, all presentation graphics layers in this service will be deactivated. First, there is a redirect (HTTP status 303) to the corresponding presentation graphics services (e.g. https/sgx.geodatenzentrum.de/wms_topplus_open_p5). In September 2022, the affected layers will be finally removed from the capabilities and the redirects are deactivated.Darstellungsdienst (WMS) for a freely usable worldwide uniform web map based on free and official data sources.The product presents, among other things, free official geodata of the federal and open data countries Berlin, Brandenburg, Hamburg, North Rhine-Westphalia, Saxony and Thuringia. In addition, Mecklenburg-Western Pomerania and Rhineland-Palatinate provide their official spatial data for TopPlusOpen within the framework of a cooperation agreement, so that these countries are presented exclusively by official data.In the other federal states and abroad, OSM data is mainly used in the corresponding zoom levels, which, from the BKG’s point of view, meet all quality requirements and can be combined almost seamlessly with the official data.The web services of TopPlusOpen are offered via the standardised interfaces WMS and WMTS and are highly performant.There are 4 different variants: — TopPlusOpen: Very detailed map representation in solid colours — TopPlusOpen Greyscale: Identical to the full-tone variant; automatically generated grayscales — TopPlusOpen Light: Reduced content compared to the full-tone variant; Subtle coloring — TopPlusOpen Light Grey: Identical content to the TopPlusOpen Light; The TopPlusOpen web map is produced in two projections: — Pseudo-Mercator projection (EPSG:3857) — UTM32 (EPSG:25832)Pseudo-Mercator projection: The web map has 19 scale levels in this projection and is divided into three different display areas: — Worldwide representation for small scales — Europe-wide representation for medium scales — Detail presentation for Germany and the adjacent foreign projection UTM32: The web map has 14 scale levels in this projection and is divided into two display areas: — Europe-wide representation for medium scales — detailed representation for Germany and the adjacent Ausland:Normalausgabe with worldwide map representation. For regions without data, image data from previous zoom levels is scaled.
The Watershed Boundary Dataset (WBD) from The National Map (TNM) defines the perimeter of drainage areas formed by the terrain and other landscape characteristics. The drainage areas are nested within each other so that a large drainage area, such as the Upper Mississippi River, will be composed of multiple smaller drainage areas, such as the Wisconsin River. Each of these smaller areas can further be subdivided into smaller and smaller drainage areas. The WBD uses six different levels in this hierarchy, with the smallest averaging about 30,000 acres. The WBD is made up of polygons nested into six levels of data respectively defined by Regions, Subregions, Basins, Subbasins, Watersheds, and Subwatersheds. For additional information on the WBD, go to https://nhd.usgs.gov/wbd.html. The USGS National Hydrography Dataset (NHD) service is a companion dataset to the WBD. The NHD is a comprehensive set of digital spatial data that encodes information about naturally occurring and constructed bodies of surface water (lakes, ponds, and reservoirs), paths through which water flows (canals, ditches, streams, and rivers), and related entities such as point features (springs, wells, stream gages, and dams). The information encoded about these features includes classification and other characteristics, delineation, geographic name, position and related measures, a "reach code" through which other information can be related to the NHD, and the direction of water flow. The network of reach codes delineating water and transported material flow allows users to trace movement in upstream and downstream directions. In addition to this geographic information, the dataset contains metadata that supports the exchange of future updates and improvements to the data. The NHD is available nationwide in two seamless datasets, one based on 1:24,000-scale maps and referred to as high resolution NHD, and the other based on 1:100,000-scale maps and referred to as medium resolution NHD. Additional selected areas in the United States are available based on larger scales, such as 1:5,000-scale or greater, and referred to as local resolution NHD. For more information on the NHD, go to https://nhd.usgs.gov/index.html. Hydrography data from The National Map supports many applications, such as making maps, geocoding observations, flow modeling, data maintenance, and stewardship. Hydrography data is commonly combined with other data themes, such as boundaries, elevation, structures, and transportation, to produce general reference base maps. The National Map viewer allows free downloads of public domain WBD and NHD data in either Esri File or Personal Geodatabase, or Shapefile formats.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains both large (A0) printable maps of the Torres Strait broken into six overlapping regions, based on a clear sky, clear water composite Sentinel 2 composite imagery and the imagery used to create these maps. These maps show satellite imagery of the region, overlaid with reef and island boundaries and names. Not all features are named, just the more prominent features. This also includes a vector map of Ashmore Reef and Boot Reef in Coral Sea as these were used in the same discussions that these maps were developed for. The map of Ashmore Reef includes the atoll platform, reef boundaries and depth polygons for 5 m and 10 m.
This dataset contains all working files used in the development of these maps. This includes all a copy of all the source datasets and all derived satellite image tiles and QGIS files used to create the maps. This includes cloud free Sentinel 2 composite imagery of the Torres Strait region with alpha blended edges to allow the creation of a smooth high resolution basemap of the region.
The base imagery is similar to the older base imagery dataset: Torres Strait clear sky, clear water Landsat 5 satellite composite (NERP TE 13.1 eAtlas, AIMS, source: NASA).
Most of the imagery in the composite imagery from 2017 - 2021.
Method:
The Sentinel 2 basemap was produced by processing imagery from the World_AIMS_Marine-satellite-imagery dataset (01-data/World_AIMS_Marine-satellite-imagery in the data download) for the Torres Strait region. The TrueColour imagery for the scenes covering the mapped area were downloaded. Both the reference 1 imagery (R1) and reference 2 imagery (R2) was copied for processing. R1 imagery contains the lowest noise, most cloud free imagery, while R2 contains the next best set of imagery. Both R1 and R2 are typically composite images from multiple dates.
The R2 images were selectively blended using manually created masks with the R1 images. This was done to get the best combination of both images and typically resulted in a reduction in some of the cloud artefacts in the R1 images. The mask creation and previewing of the blending was performed in Photoshop. The created masks were saved in 01-data/R2-R1-masks. To help with the blending of neighbouring images a feathered alpha channel was added to the imagery. The processing of the merging (using the masks) and the creation of the feathered borders on the images was performed using a Python script (src/local/03-merge-R2-R1-images.py) using the Pillow library and GDAL. The neighbouring image blending mask was created by applying a blurring of the original hard image mask. This allowed neighbouring image tiles to merge together.
The imagery and reference datasets (reef boundaries, EEZ) were loaded into QGIS for the creation of the printable maps.
To optimise the matching of the resulting map slight brightness adjustments were applied to each scene tile to match its neighbours. This was done in the setup of each image in QGIS. This adjustment was imperfect as each tile was made from a different combinations of days (to remove clouds) resulting in each scene having a different tonal gradients across the scene then its neighbours. Additionally Sentinel 2 has slight stripes (at 13 degrees off the vertical) due to the swath of each sensor having a slight sensitivity difference. This effect was uncorrected in this imagery.
Single merged composite GeoTiff:
The image tiles with alpha blended edges work well in QGIS, but not in ArcGIS Pro. To allow this imagery to be used across tools that don't support the alpha blending we merged and flattened the tiles into a single large GeoTiff with no alpha channel. This was done by rendering the map created in QGIS into a single large image. This was done in multiple steps to make the process manageable.
The rendered map was cut into twenty 1 x 1 degree georeferenced PNG images using the Atlas feature of QGIS. This process baked in the alpha blending across neighbouring Sentinel 2 scenes. The PNG images were then merged back into a large GeoTiff image using GDAL (via QGIS), removing the alpha channel. The brightness of the image was adjusted so that the darkest pixels in the image were 1, saving the value 0 for nodata masking and the boundary was clipped, using a polygon boundary, to trim off the outer feathering. The image was then optimised for performance by using internal tiling and adding overviews. A full breakdown of these steps is provided in the README.md in the 'Browse and download all data files' link.
The merged final image is available in export\TS_AIMS_Torres Strait-Sentinel-2_Composite.tif
.
Source datasets:
Complete Great Barrier Reef (GBR) Island and Reef Feature boundaries including Torres Strait Version 1b (NESP TWQ 3.13, AIMS, TSRA, GBRMPA), https://eatlas.org.au/data/uuid/d2396b2c-68d4-4f4b-aab0-52f7bc4a81f5
Geoscience Australia (2014b), Seas and Submerged Lands Act 1973 - Australian Maritime Boundaries 2014a - Geodatabase [Dataset]. Canberra, Australia: Author. https://creativecommons.org/licenses/by/4.0/ [license]. Sourced on 12 July 2017, https://dx.doi.org/10.4225/25/5539DFE87D895
Basemap/AU_GA_AMB_2014a/Exclusive_Economic_Zone_AMB2014a_Limit.shp
The original data was obtained from GA (Geoscience Australia, 2014a). The Geodatabase was loaded in ArcMap. The Exclusive_Economic_Zone_AMB2014a_Limit layer was loaded and exported as a shapefile. Since this file was small no clipping was applied to the data.
Geoscience Australia (2014a), Treaties - Australian Maritime Boundaries (AMB) 2014a [Dataset]. Canberra, Australia: Author. https://creativecommons.org/licenses/by/4.0/ [license]. Sourced on 12 July 2017, http://dx.doi.org/10.4225/25/5539E01878302
Basemap/AU_GA_Treaties-AMB_2014a/Papua_New_Guinea_TSPZ_AMB2014a_Limit.shp
The original data was obtained from GA (Geoscience Australia, 2014b). The Geodatabase was loaded in ArcMap. The Papua_New_Guinea_TSPZ_AMB2014a_Limit layer was loaded and exported as a shapefile. Since this file was small no clipping was applied to the data.
AIMS Coral Sea Features (2022) - DRAFT
This is a draft version of this dataset. The region for Ashmore and Boot reef was checked. The attributes in these datasets haven't been cleaned up. Note these files should not be considered finalised and are only suitable for maps around Ashmore Reef. Please source an updated version of this dataset for any other purpose.
CS_AIMS_Coral-Sea-Features/CS_Names/Names.shp
CS_AIMS_Coral-Sea-Features/CS_Platform_adj/CS_Platform.shp
CS_AIMS_Coral-Sea-Features/CS_Reef_Boundaries_adj/CS_Reef_Boundaries.shp
CS_AIMS_Coral-Sea-Features/CS_Depth/CS_AIMS_Coral-Sea-Features_Img_S2_R1_Depth5m_Coral-Sea.shp
CS_AIMS_Coral-Sea-Features/CS_Depth/CS_AIMS_Coral-Sea-Features_Img_S2_R1_Depth10m_Coral-Sea.shp
Murray Island 20 Sept 2011 15cm SISP aerial imagery, Queensland Spatial Imagery Services Program, Department of Resources, Queensland
This is the high resolution imagery used to create the map of Mer.
World_AIMS_Marine-satellite-imagery
The base image composites used in this dataset were based on an early version of Lawrey, E., Hammerton, M. (2024). Marine satellite imagery test collections (AIMS) [Data set]. eAtlas. https://doi.org/10.26274/zq26-a956. A snapshot of the code at the time this dataset was developed is made available in the 01-data/World_AIMS_Marine-satellite-imagery folder of the download of this dataset.
Data Location:
This dataset is filed in the eAtlas enduring data repository at: data\custodian\2020-2029-AIMS\TS_AIMS_Torres-Strait-Sentinel-2-regional-maps. On the eAtlas server it is stored at eAtlas GeoServer\data\2020-2029-AIMS.
Change Log:
2025-05-12: Eric Lawrey
Added Torres-Strait-Region-Map-Masig-Ugar-Erub-45k-A0 and Torres-Strait-Eastern-Region-Map-Landscape-A0. These maps have a brighten satellite imagery to allow easier reading of writing on the maps. They also include markers for geo-referencing the maps for digitisation.
2025-02-04: Eric Lawrey
Fixed up the reference to the World_AIMS_Marine-satellite-imagery dataset, clarifying where the source that was used in this dataset. Added ORCID and RORs to the record.
2023-11-22: Eric Lawrey
Added the data and maps for close up of Mer.
- 01-data/TS_DNRM_Mer-aerial-imagery/
- preview/Torres-Strait-Mer-Map-Landscape-A0.jpeg
- exports/Torres-Strait-Mer-Map-Landscape-A0.pdf
Updated 02-Torres-Strait-regional-maps.qgz to include the layout for the new map.
2023-03-02: Eric Lawrey
Created a merged version of the satellite imagery, with no alpha blending so that it can be used in ArcGIS Pro. It is now a single large GeoTiff image. The Google Earth Engine source code for the World_AIMS_Marine-satellite-imagery was included to improve the reproducibility and provenance of the dataset, along with a calculation of the distribution of image dates that went into the final composite image. A WMS service for the imagery was also setup and linked to from the metadata. A cross reference to the older Torres Strait clear sky clear water Landsat composite imagery was also added to the record.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Presentation service (WMS) for a freely usable worldwide uniform web map based on free and official data sources.In the product, among other things, free official geodata of the federal government and the open data countries Berlin, Brandenburg, Hamburg, North Rhine-Westphalia, Saxony and Thuringia are presented. In addition, Mecklenburg-Western Pomerania and Rhineland-Palatinate provide their official spatial data for the TopPlusOpen within the framework of a cooperation agreement, so that these countries are also represented exclusively by official data.In the other federal states and abroad, OSM data is mainly used in the corresponding zoom levels, which from the point of view of the BKG meet all quality requirements and can be combined almost seamlessly with the official data.The web services of the TopPlusOpen are offered via the standardized interfaces WMS and WMTS and are high-performance.There are 4 different variants offered: - TopPlusOpen: Very detailed map display in solid colors - TopPlusOpen grayscale: Content identical to the full-tone version; Automatically generated grayscale - TopPlusOpen Light: Content reduced compared to the full-tone version; Subtle colour scheme - TopPlusOpen Light Grey: Content identical to the TopPlusOpen Light; Presentation in shades of grey and individual discreet colors (waters, borders)The TopPlusOpen web map is produced in two projections: - Pseudo-Mercator projection (EPSG:3857) - UTM32 (EPSG:25832)Pseudo-Mercator projection: The web map has 19 scale levels in this projection and is divided into three different display areas: - Worldwide representation for small scales - Europe-wide representation for medium scales - Detailed representation for Germany and the adjacent foreign countriesProjection UTM32: The web map has 14 scale levels in this projection and is divided into two display areas: - Europe-wide representation for medium scales - Detailed representation for Germany and neighbouring countries: The Layer TopPlusOpen-Light-Grey is well suited for use as a background map and has a reduced content compared to the solid version of the TopPlusOpen. The illustration is done in gray tones and individual pale colors (borders, waters).
http://dcat-ap.de/def/licenses/geonutz/20130319http://dcat-ap.de/def/licenses/geonutz/20130319
The ZDM Web Map Service (WMS) shows the data from expansion and new construction projects on the federal waterways in the area of responsibility of the General Directorate for Waterways and Shipping in Kiel. This service is a public and free service of the Federal Waterways and Shipping Administration.
A digital version of multiple compiled geologic maps of the state of Nevada, displayed on multiple scales, and available as a WMS and WFS on the OneGeology portal (www.onegeology.org/portal) and through the NBMG GeoServer. Data compiled by the Nevada Bureau of Mines and Geology for OneGeology (http://www.onegeology.org/). Published using ArcServer v. 10.0 and is compliant with OGC (Open Geospatial Consortium) version 1.30 specifications and interoperable with GeoSciML v. 3.0. Visit http://www.opengeospatial.org/standards for more information on OGC specifications. In addition to WMS and WFS, the service was designed to be interoperable with KML (Keyhole Markup Language), which allows the client to view an image of the data in three dimensions, using free software available for download on the internet such as ArcGIS Explorer or Google Earth.
http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations
This Web Mapping Service (WMS) contains a collection of information extracted from the National Coal Mining Database. This data represents a snapshot in time taken from the National Coal Mining Database and has been derived from current information available to the Coal Authority at that time. The data is supplied free of charge under the terms of the Open Government Licence (http://www.nationalarchives.gov.uk/doc/open-government-licence/) subject to the following overriding re-use condition: re-use is not permitted for any activity that is part of the Coal Authority's public task responsibilities.
OpenStreetMap WMS, bereitgestellt durch terrestris GmbH und Co. KG. Beschleunigt mit MapProxy (http://mapproxy.org/)