STAplus aims to standardise citizen science data and make it accessible, interoperable and reusable among different citizen observatories (COs) and services. In particular, STAplus is an extended data model for the SensorThings API, an international Open Geospatial Consortium standard used to interconnect devices, data and applications that work on the Internet. More information: https://cos4cloud-eosc.eu/sensorthingsplusapiplus/ Service developed by CREAF and Secure Dimensions in the Cos4Cloud framework. Infographic's designer: Lucas Wainer.

The Open Geospatial Consortium (OGC) invites anyone involved in climate resilience, disaster response, and emergency management to attend OGC Innovation Days 2023. The event will be held December 5-7 at the American Red Cross Headquarters in Washington, D.C. Attendance is free for OGC Members using this link.OGC Innovation Days 2023 brings together diverse members of the climate, disaster, and emergency resilience and response communities to explore what OGC-enabled geospatial technologies have made possible and to ask: what do we need to do next? This multi-day event will benefit anyone interested or involved in climate resilience, disaster response, or emergency management by providing an opportunity to learn about the latest geospatial data and technology developments from the OGC community, contribute to shaping future work, and interact with stakeholders from industry, government, research, and the private sector. OGC has for many years been developing solutions that support climate and disaster resilience and response, from supporting the development of FAIR (Findable, Accessible, Interoperable, and Reusable) climate resilience information systems, to empowering first responders with the information they need, when they need it.But to most effectively address the multi-faceted challenges of the changing climate and associated disasters, we want to hear about the problems being faced by city-managers, community members, first responders, climate scientists, insurers, government bodies, and others, as they respond to the changing climate and associated disasters – so that we can use OGC’s collective expertise to address them.By bringing the climate, disaster, and emergency communities together, OGC Innovation Days 2023 provides a unique opportunity for attendees to meet people facing similar challenges to their own and learn about the solutions that worked for them, while guiding OGC towards creating impactful free and open solutions where none currently exist.The event runs across three days: a day of panels and discussions, a day of demonstrations, and a day exclusively for the OGC Strategic Member Advisory Committee, OGC Executive Planning Committee, and special guests. Gain insights from experts from leading organizations, including: event hosts American Red Cross, OGC Strategic Members Department of Homeland Security (DHS) / Federal Emergency Management Agency (FEMA), National Aeronautics and Space Administration (NASA), National Oceanic and Atmospheric Administration (NOAA), Natural Resources Canada (NRCan), and United States Geological Survey (USGS), as well as others from across government and industry. See the full agenda here.Day 1 consists of panels and discussions centered around 4 topics: Disaster Response & Emergency Management; Wildfires; Climate Change & Disaster Risk Reduction; and the role that Artificial Intelligence and related technologies can play in building disaster and climate resilience. Throughout each panel, expect information on the FAIR solutions and workflows developed through OGC initiatives – such as the Disasters Pilot 2023 and the Climate Resilience Pilot – the gaps that remain between the data & tools we have and the ones we need, panelists’ successes & challenges, and audience feedback.Day 2 provides attendees the opportunity to see working demonstrations of cutting-edge solutions for climate, disaster, and emergency resilience and response developed in OGC COSI Program Initiatives or using OGC innovations in geospatial technologies such as Artificial Intelligence/Machine Learning, Earth Observation, Analysis Ready Data (ARD), Decision Ready Indicators (DRI) for emergency response, FAIR systems & data, cloud-native geospatial, and more.Day 2 will also include a demonstration of General Dynamics Information Technology (GDIT)’s standards-based Raven mobile command-center, which collects and distributes mission-critical information at the edge. Powered by AI systems, the Raven can filter information so data-driven decisions can be made and disseminated to first responders, analysts, and decision makers in real-time.Join us at the American Red Cross Headquarters in Washington, DC, USA, to tackle climate, disasters, and emergencies together using FAIR geospatial data and systems. A video overview of the 2022 OGC Innovation Days event is available on OGC’s YouTube channel.For more information, including registration, agenda, venue & accommodation info, and more, visit the OGC 2023 Innovation Days webpage. The event is free for OGC Members – see this page on the OGC Portal for your discounted registration link. Sponsorship opportunities remain available, contact OGC to find out more.

CityGML is an open data model and XML-based format for the storage and exchange of virtual 3D city models. It is an application schema for the Geography Markup Language version 3.1.1 (GML3), the extendible international standard for spatial data exchange issued by the Open Geospatial Consortium (OGC) and the ISO TC211. The aim of the development of CityGML is to reach a common definition of the basic entities, attributes, and relations of a 3D city model. Huom. INSPIRE BU-spesifikaatio (Rakennus-tietotuote) nojautuu tähän. (07.03.2013)

The Spatial Data Network Service provides a public interface to geospatial data (representation of bearings). The service is based on the OGC Consortium standard (Open Geospatial Consortium) as a storage (WFS) service, standards defined by the W3C Consortium as a service with SOAP interface and proprietary architectural style fy ESRI – ArcGis map service with REST interface. The data obtained by this service can be processed and presented to the public at the level of its own application desktop and web interfaces that can process services in any of the offered standards and technological solutions.

Presentation for AWRA Geospatial Technologies Conference May 10, 2022 https://www.awra.org/Members/Events_and_Education/Events/2022_GIS_Conference/2022_GIS_Conference.aspx

HydroShare is a web-based repository and hydrologic information system operated by the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) for users to share, collaborate around, and publish data, models, scripts, and applications associated with water related research. It serves as a repository for data and models to meet Findable, Accessible, Interoperable, and Reusable (FAIR) open data mandates. Beyond content storage, the HydroShare repository also links with connected computational systems providing immediate value to users through the ability to reduce the needs for software installation and configuration and to document workflows, enhancing reproducibility. These approaches have facilitated considerable sharing and publication of data associated with research in HydroShare, enabling its re-use and the integration of data from multiple users to support broader synthesis studies. Data types supported include multidimensional netCDF, time series, geographic rasters and features. For some of these, standard data services, such as OpenDAP services for netCDF or Open Geospatial Consortium web services for geographic data types are automatically established when data is made public, improving machine readability and system interoperability. This presentation will describe geospatial data in HydroShare focusing on the geospatial feature and raster aggregations used to hold geospatial data and the functionality developed to automatically harvest metadata from these data types, simplifying the process of metadata creation for users. We will also describe how geospatial data services established for public resources holding geospatial data in HydroShare enable the data to be accessed by third party web applications adding to the functionality supported by HydroShare as a content storage element within a software ecosystem of interoperating systems.

The ORNL DAAC Spatial Data Access Tool (SDAT) is a suite of Web-based applications that enable users to visualize and download spatial data in user-selected spatial/temporal extents, file formats, and projections. SDAT incorporates Open Geospatial Consortium (OGC) standard Web services, including Web Coverage Service (WCS), Web Map Service (WMS), and Web Feature Service (WFS). The SDAT provides ORNL DAAC-archived data sets and additional relevant data products including agriculture, atmosphere, biosphere, climate indicators, human dimensions, land surface, oceans, terrestrial hydrosphere data types, and related model output data sets.

Overview of the Disaster Risk Resilience InitiativeOverview | About | 2018-2019 Activities | 2020-2021 Activities | 2022-2023 Activities | Related ProjectsThe Open Geospatial Consortium (OGC) is working with the community to improve spatial data infrastructures to provide data and services that improve community resilience for disasters and climate. Geospatial information has been proven effective in supporting both the understanding of and response to disasters. However, the ability to effectively share, use, and reuse geospatial information and applications across and between governments and nongovernmental organizations in support of disaster response and resilience is dependent upon having the required partnerships, policies, standards, architecture, and technologies already in place when disaster strikes.Geospatial Data and Technology for Preparedness, Response, and RecoveryThe OGC Spatial Data Infrastructures for Disaster Resilience initiative was initiated in 2018 to understand how to best support the development of, or combination of SDI(s) for the use in disasters, to advance the understanding of stakeholder issues, and serve stakeholders’ needs.Quality, up-to-date geospatial data and tools are central to citizen access to governmental programs and, in addition, are an important means for Federal Agencies to interact and communicate with local communities and citizens. Geospatial data and tools also have the potential to save lives, limit damage, and reduce the costs of dealing with emergencies. Disasters point out the need for integrated solutions, including on-the-ground emergency response capabilities informed by geospatial tools and technologies. Geospatial applications are critical for preparedness activities, response to events, and post-disaster management. Geospatial tools play an increasing role in disaster response by improving communication through spatial data, providing capacity for interagency and intergovernmental approaches to address disasters, and facilitating long-term strategies for recovery efforts, risk reduction, restoration, and monitoring programs.In partnership with the OGC, the FGDC, the U.S. Department of Homeland Security (DHS), and the U.S. Geological Survey (USGS) initiated a concept development study to gather information from national and global stakeholders through surveys, workshops, and interviews. The FGDC participated in national and international conferences and engaged a variety of disasters committees, executives, and stakeholders to encourage participation. The FGDC co-led two well-attended workshops with more than 200 representatives from over 80 organizations, including Federal, State, local, academic, commercial, international, and other non-governmental organizations. The resulting study identified key challenges, gaps, needs, lessons learned, best practices, and other information critical for crafting a strategy to advance the use of geospatial data and services in disaster response, including the following:The lack of an integrated policy and operational framework to facilitate rapid acceptance, qualification, ingestion, and use of relevant geospatial information from a range of government and commercial providers and citizens.The inability with existing metadata approaches to quickly discover and understand which information sources are most useful in the context of a user’s need, especially for first responders.The inability to properly fuse and synthesize multiple data sources locally to derive the knowledge necessary for rapid disaster-response decisions.The need for a persistent platform to organize and manage disaster-related geospatial information and tools necessary for collaborating organizations to address the full disaster lifecycle—preparedness, response, and recovery.Over the next 5 years, the FGDC and other collaborators will engage the disasters community to address elements of the concept development study through workshops, pilots, and other initiatives. We will demonstrate how data standards help stakeholders and decision makers gain new and beneficial perspectives into social, economic, and environmental issues related to disasters by providing access to the vast online geospatial ecosystem of resources that improve the sharing, use, and integration of information tied to locations across the globe.From 2019-2023, OGC collaborators will engage the disasters community to address elements of the concept development study through workshops, pilots, and other initiatives. We will demonstrate how data standards help stakeholders and decision makers gain new and beneficial perspectives into social, economic, and environmental issues related to disasters by providing access to the vast online geospatial ecosystem of resources that improve the sharing, use, and integration of information tied to locations across the globe.

This list contains the list of standards and technical specifications analysed in the APIs4DGov study "Web API landscape: relevant general purpose ICT standards, technical specifications and terms". Notice that the list does not include a set of documents which are considered of (i) general purpose for the Web and (ii) consolidated background knowledge of the reader (e.g. HTTP, JSON, XML, URI, SOA, ROA, RDF, etc.).

Each document is classified accordingly to the following rationale:

• Name: extended name (with acronym, if available).

• TS/S: we distinguish the documents into two main categories: (1) “Technical Specification” and (2) “Standard”. The definitions of the two terms are in use in official and technical documents, including the ones of CEN, IEC, ISO and Open Geospatial Consortium (OGC). For the purposes of this dataset, we choose the definitions proposed by the OGC: (1) "Specification" or "Technical Specification" (TS): "a document written by a consortium, vendor, or user that specifies a technological area with a well-defined scope, primarily for use by developers as a guide to implementation. A specification is not necessarily a formal standard"; (2) "Standard" (S): "a document that specifies a technological area with a well-defined scope, usually by a formal standardisation body and process".

• Category: each document is classified by its functional specification (Resource Representation, Protocol), Security (Authentication, Authorisation), Usability (Documentation, Design), Test, Performance, and Licence. See section 2.2 for a description of each category.

• Short Description: a short description of the TS/S.

• Link: URL of online document describing the TS/S.

• API Type: RPC or REST, both if not specified.

• Initial Release: the year when the TS/S was proposed the first time (where not available the most probable year, calculated by additional desk research, was given).

• By: the organisation (i.e. standard body, consortium, vendor) or individual that proposes the standard.

This project develop components of a polar cyberinfrastructure (CI) to support researchers and users for data discovery and access. The main goal is to provide tools that will enable a better access to polar data and information, hence allowing to spend more time on analysis and research, and significantly less time on discovery and searching. A large-scale web crawler, PolarHub, is developed to continuously mine the Internet to discover dispersed polar data. Beside identifying polar data in major data repositories, PolarHub is also able to bring individual hidden resources forward, hence increasing the discoverability of polar data. Quality and assessment of data resources are analyzed inside of PolarHub, providing a key tool for not only identifying issues but also to connect the research community with optimal data resources.

In the current PolarHub system, seven different types of geospatial data and processing services that are compliant with OGC (Open Geospatial Consortium) are supported in the system. They are: -- OGC Web Map Service (WMS): is a standard protocol for serving (over the Internet)georeferenced map images which a map server generates using data from a GIS database. -- OGC Web Feature Service (WFS): provides an interface allowing requests for geographical features across the web using platform-independent calls. -- OGC Web Coverage Service (WCS): Interface Standard defines Web-based retrieval of coverages; that is, digital geospatial information representing space/time-varying phenomena. -- OGC Web Map Tile Service (WMTS): is a standard protocol for serving pre-rendered georeferenced map tiles over the Internet. -- OGC Sensor Observation Service (SOS): is a web service to query real-time sensor data and sensor data time series and is part of theSensor Web. The offered sensor data comprises descriptions of sensors themselves, which are encoded in the Sensor Model Language (SensorML), and the measured values in the Observations and Measurements (O and M) encoding format. -- OGC Web Processing Service (WPS): Interface Standard provides rules for standardizing how inputs and outputs (requests and responses) for invoking geospatial processing services, such as polygon overlay, as a web service. -- OGC Catalog Service for the Web (CSW): is a standard for exposing a catalogue of geospatial records in XML on the Internet (over HTTP). The catalogue is made up of records that describe geospatial data (e.g. KML), geospatial services (e.g. WMS), and related resources.

PolarHub has three main functions: (1) visualization and metadata viewing of geospatial data services; (2) user-guided real-time data crawling; and (3) data filtering and search from PolarHub data repository.

This resource contains a state geologic map with the uppermost bedrock geology and major alluvial deposits located within the State of Missouri. The map service is provided by the Missouri Department of Natural Resources (MoDNR), Division of Geology and Land Survey (DGLS), Geological Survey Program (GSP), as part of the United States Geoscience Information Network (USGIN). The data are available in the following formats: ESRI rest service, WFS, WMS and downloadable geodatabase (.mdb). The layer, Geologic Unit View, is a compilation dataset containing geologic units covering the State of Missouri at a scale of 1:500,000. The features are provided in GeoSciML portrayal schema. The geodatabase fields includes geologic name, description, lithology, and geologic history. This service is compliant with Open Geospatial Consortium (OGC) standards and the data within is compatible with GeoSciML portrayal view for geoscience data. This resource was provided by the Missouri Department of Natural Resources and made available for distribution in the National Geothermal Data System.

description: Beach erosion is a chronic problem along most open-ocean shores of the United States. As coastal populations continue to grow, and community infrastructures are threatened by erosion, there is increased demand for accurate information regarding past and present shoreline changes. There is also need for a comprehensive analysis of shoreline movement that is regionally consistent. To meet these national needs, the USGS National Assessment of Shoreline Change Project has collected and analyzed a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data. This dataset includes a reference baseline used by the Digital Shoreline Analysis System (DSAS) to calculate rate-of-change statistics. This baseline layer serves as the starting point for all transects cast by the DSAS application. The resulting rates of change are available in services with the titles USGS Map service: National Shoreline Change - Long-Term Shoreline Change Rates and USGS Map service: National Shoreline Change - Short-Term Shoreline Change Rates. To make this shoreline data more accessible to the public and other agencies, the USGS created this web service. This web service was created utilizing ESRI ArcServer. This service meets open geospatial consortium standards. The geographic information system (GIS) data layers from this web service are cataloged by state for ease of access.; abstract: Beach erosion is a chronic problem along most open-ocean shores of the United States. As coastal populations continue to grow, and community infrastructures are threatened by erosion, there is increased demand for accurate information regarding past and present shoreline changes. There is also need for a comprehensive analysis of shoreline movement that is regionally consistent. To meet these national needs, the USGS National Assessment of Shoreline Change Project has collected and analyzed a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data. This dataset includes a reference baseline used by the Digital Shoreline Analysis System (DSAS) to calculate rate-of-change statistics. This baseline layer serves as the starting point for all transects cast by the DSAS application. The resulting rates of change are available in services with the titles USGS Map service: National Shoreline Change - Long-Term Shoreline Change Rates and USGS Map service: National Shoreline Change - Short-Term Shoreline Change Rates. To make this shoreline data more accessible to the public and other agencies, the USGS created this web service. This web service was created utilizing ESRI ArcServer. This service meets open geospatial consortium standards. The geographic information system (GIS) data layers from this web service are cataloged by state for ease of access.

The usSEABED database contains a compilation of published and previously unpublished sediment texture and other geologic data about the sea floor from diverse sources. The data were compiled using the dbSEABED system to bring assorted data together in a unified database. Maps display areas of different bottom types (carbonate, coral, shells, and terrigenous) and sediment classifications using the Folk and Shepard systems, based on either laboratory data or verbal records of observations. usSEABED information is a scientific foundation for the USGS Marine Aggregate Resources and Processes Assessment and Benthic Habitats projects. The usSEABED database includes data for sites in U.S. waters from rivers, lakes, estuaries, and from the beach to the continental shelf. To make the usSEABED data more accessible to the public and other agencies, the USGS created this web service. This web service was created utilizing ESRI ArcServer. This service meets open geospatial consortium standards. The geographic information system (GIS) data layers from this web service are cataloged by region for ease of access.

The Digital Geologic-GIS Map of the Rhoda Quadrangle, Kentucky is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (rhod_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (rhod_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (rhod_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (maca_abli_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (maca_abli_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (rhod_geology_metadata_faq.pdf). Please read the maca_abli_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (rhod_geology_metadata.txt or rhod_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

This resource contains a state geologic map with the uppermost bedrock geology and major alluvial deposits located within the State of Missouri. The map data are provided by the Missouri Department of Natural Resources (MoDNR), Division of Geology and Land Survey (DGLS), Geological Survey Program (GSP), as part of the United States Geoscience Information Network (USGIN). The data are available as a geodatabase and shapefiles for download. The layer, Geologic Unit View, is a compilation dataset containing geologic units covering the State of Missouri at a scale of 1:24,000. The geodatabase fields include geologic name, description, lithology, and geologic history. This service is compliant with Open Geospatial Consortium (OGC) standards and the data within are compatible with GeoSciML portrayal view for geoscience data. This resource was provided by the Missouri Department of Natural Resources and made available for distribution in the National Geothermal Data System.

This web map service (WMS) was published using ArcServer v. 10.1 and is compliant with OGC (Open Geospatial Consortium) version 1.30 specifications. This service provides dynamic, spatially referenced geographic information using data collected for the National Geothermal Data System (http://www.geothermaldata.org/). In addition to the WMS capabilities, this service was designed to be interoperable with both WFS (Web Feature Services) as well as KML (Keyhole Markup Language). The WFS capabilities allow the client to query, make additions and/or modifications to an existing dataset. WFS can be utilized through the interoperability extension in ArcCatalog. For more information on using the ArcGIS data interoperability extension visit http://www.esri.com/software/arcgis/extensions/datainteroperability /common-questions.html. A KML service 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. For more information on OGC specifications, visit http://www.opengeospatial.org/standards.

Temperature survey at 2 meters. This web map service (WMS) was published using ArcServer v. 10.1 and is compliant with OGC (Open Geospatial Consortium) version 1.30 specifications. This service provides dynamic, spatially referenced geographic information using data collected for the National Geothermal Data System (http://www.geothermaldata.org/). In addition to the WMS capabilities, this service was designed to be interoperable with both WFS (Web Feature Services) as well as KML (Keyhole Markup Language). The WFS capabilities allow the client to query, make additions and/or modifications to an existing dataset. WFS can be utilized through the interoperability extension in ArcCatalog. For more information on using the ArcGIS data interoperability extension visit http://www.esri.com/software/arcgis/extensions/datainteroperability /common-questions.html. A KML service 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. For more information on OGC specifications, visit http://www.opengeospatial.org/standards.

The EOCHA Data Portal facilitates the access to heterogeneous datasets providing in a one-stop-shop the access services and basic data mining tools necessary to explore geospatial data i.e. in the context of the disease early warning systems. The Portal is based on the Multisensor Evolution Analysis (MEA) technology - an Earth Observation and geospatial data analysis tool empowered with OGC (Open Geospatial Consortium) standards and open source technologies to enable Big Data access and processing services.
Key World Bank sectors can benefit from such climaterelated health risk assessment including Agriculture and Rural Development, Environment, and Health, Nutrition and Population in the regions that are afflicted by both high burdens of infectious disease and climate change - notably, Africa, South America, East Asia and the Pacific.

This platform is produced under the 2016 World Bank (WBG) - European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016

InfoTerre TM is the portal Geomatics access to Geoscience BRGM geological maps of 1/1 000 000 1/50 000 records database of Basement and geological logs, maps of natural and industrial risks data on groundwater ... InfoTerre TM exclusively uses of international interoperability standards published by the Open Geospatial Consortium (OGC). It is consistent with the next technical requirements of the European Directive INSPIRE.

• Build Information
  • GeoServer Version2.22.2
  • Git Revision78e7383a361356dabfc16b992ebcb0d9e623b831
  • Build Date17-Feb-2023 17:46
  • GeoTools Version28.2 (rev 558cedba96f8d4c593a362982ce55b7a9e6942dc)
  • GeoWebCache Version1.22.1 (rev 1.22.x/b01a7c3999377584b38466ade2f378bf744fb7d0)
• More Information

  GeoServer publishes data from any major spatial data source using open standards. GeoServer implements several Open Geospatial Consortium protocols including Web Map Service (WMS), Web Feature Service (WFS), Web Coverage Service (WCS) and Web Map Tile Service (WMTS). Additional extensions are available for Catalogue Service (CSW) and Web Processing Service (WPS).

  This web administration interface allows for easy configuration of GeoServer. After logging in, please use the menus on the left to navigate through the interface.

  • The About and Status menu lists technical details about the running GeoServer instance.
  • The Data menu is used to configure data sources and styling.
  • The Service menu provides configuration for web services.
  • The Settings menu provides configurations options that apply to all services (i.e. server-wide).
  • The Tile Caching menu allows configuration of the embedded tile cache.
  • The Security menu allows configuration of access controls (authentication and authorization).
  • The Demos menu provides examples of using web services, and request builders to help you assemble your own examples.

  Useful Links:

  • Documentation
  • Wiki
  • Issue Tracker

GeoMet provides access to the Environment Canada's Meteorological Service of Canada (MSC) raw numerical weather prediction (NWP) model data layers and the weather radar mosaic via two Open Geospatial Consortium web service standards: Web Map Service (WMS) and Keyhole Markup Language (KML). Meteorological layers are dynamically served through the Web Map Service (WMS) standard to enable end-users to display meteorological data within their own tools and on interactive web maps, and served through KML standard for easy display in tools such as Google Earth™