Active OGC Initiatives

If you have any questions about any initiatives - completed, present, or future - please contact innovation [at]

Initiative Project Scope
image_icon  Citizen Science Interoperability Experiment The first phase of the interoperability experiment focuses on the use of SOS as a standard service to distribute data coming from citizen science observations. This idea is based in the COBWEB recommendation to use the classical OGC services in the Sensor Web Enablement. The second phase now focuses on SensorThingsAPI and OpenAPI in general.
image_icon  Climate Resilience Initiative The objective of this pilot is to accelerate our collective readiness for accessing, fusing and analyzing data from the climate change modeling community with earth observation and social science data to contribute to the global push for achieving climate resilience. Our goal is to develop a reliable foundation for decision ready data services for climate change adaptation actions. For this purpose, OGC members engaged in this pilot will develop a series of demonstrators that show the integration and combined exploitation of climate data, EO data, and data from the social sciences.
image_icon  CLINT - Climate Intelligence The main objective of CLINT is the development of an Artificial Intelligence framework (Climate Intelligence) composed of Machine Learning techniques and algorithms to process big climate datasets for improving Climate Science in the detection, causation and attribution of Extreme Events, including tropical cyclones, heatwaves and warm nights, and extreme droughts, along with compound events and concurrent extremes (see Box 1). The CLINT AI framework will also cover the quantification of the EE impacts on a variety of socio-economic sectors under historical, forecasted and projected climate conditions, and across different spatial scales, from the whole European to the local scale, ultimately developing innovative and sectorial AI-enhanced Climate Services. Finally, these services will be operationalized into Web Processing Services, according to most advanced open data and software standards by Climate Services Information Systems, and into a Demonstrator to facilitate the uptake of project results by public and private entities for research and Climate Services development.
image_icon  CYBELE CYBELE develops large scale HPC-enabled test beds in the domain of agri-food and delivers a distributed big data management architecture and a data management strategy for Precision Agriculture and Precision Lifestock Farming. OGC primarily supports the CYBELE Common Semantic Data Model design and standardization activities. CYBELE is funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 825355.
image_icon  DEMETER The DEMETER Project is a large-scale deployment of farmer centric interoperable smart farming-IoT based platforms delivered through a series of 20 pilots across 18 countries (15 States in the EU). OGC's role in DEMETER is to coordinate the pilots and facilitate the communication between pilots and work packages. DEMETER is funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 857202
image_icon  Disaster Pilot 2021 OGC Disaster Pilot: Online and Offline Data Availability for First Responders prototyped provision of earth observation, health, and other critical data to field personnel and first responders during an emergency, leveraging multiple sources of earth observation data through hybrid EO exploitation cloud platforms, provisioning field personnel with GeoPackage data containers and GeoPackage viewers in both online and offline modes, and keeping both relief personnel and the public informed through web search optimization of disaster-relevant information.
image_icon  Disaster Pilot 2022 OGC Disaster Pilot: Apply spatial data sharing standards together with Web technologies and cloud computing so that the responsible stakeholders can work together wherever they are located, use relevant data wherever they are stored, and manage every phase of a disaster at any scale wherever it threatens. In a global, cloud-scale disaster information ecosystem, awareness of threats, vulnerabilities, and impacts can be fostered and shared through joint development of workflow recipes that integrate and transform analysis-ready observation and prediction data (ARD) into decision ready indicators (DRI). Indicator workflows, ready to run and adaptable to each situation, provide the guidance that the right people at the right time in the right place need to make decisions, take actions, and improve disaster outcomes.
image_icon  e-shape The E-SHAPE proposal is driven by the need to develop operational EO services with and for the users and to create a conducive environment whereby the strengths of Europe are exploited towards addressing societal challenges, fostering entrepreneurship and supporting sustainable development. The project puts a lot of emphasis on co design, coordinated implementation encouraging adoption of standards and compliance testing, user Uptake and Capacity Building.
image_icon  EO Cloud Platform CDS The scope of this study is the evaluation of EO cloud platform architectures and alignment with open standards, and documentation of their readiness to support the Disaster Pilot 2021 disaster response exercise scenario.
image_icon  Federated Marine SDI The Federated Marine SDI Demonstration Pilot will show how Marine SDI can unlock valuable data and information for more than the traditional providers and consumers of hydrographic data. Specifically, the Pilot will include one or more land/sea interface scenarios in order to demonstrate how federated Marine SDI can provide simple, secure access across borders and domains, and improve the connections between terrestrial and marine foundational communities.
image_icon  Geospatially Enabled Ecosystem for Europe (GeoE3) The overall objective of the Action is to exploit existing national geospatial platforms and develop a cloud-based ecosystem of generic services that dynamically integrate various datasets and services with geospatial data.
image_icon  Geotech IE This project aims to contribute to improving GIS - BIM continuity. Among other things, the project organizers aim to exploit the standardization resources already available from the OGC and other organizations as an input for OpenBIM resources. This work is illustrated by geotechnical data.
image_icon  Health Spatial Data Infrastructure The COVID-19 pandemic has shown the world that global crisis response and preparedness cannot be executed without (1) location-related information of people and resources, and (2) trusted information sharing across stakeholders from traditional sources (such as health, defense, public safety) to new sources of information (such as privately-collected mobility data). In addition, information critical to response efforts may come from unexpected sources and domains that previously had little reason to collaborate or involvement with emergency response efforts.
image_icon  Health Spatial Data Infrastructure CDS A common, standardized health geospatial data model and schema will establish a blueprint to better align the community for early warning, response to, and recovery from future health emergencies. Such a data model will help to improve support for critical functions and use cases.
image_icon  IDBE Pilot The Open Geospatial Consortium (OGC), supported by buildingSMART International (bSI), invites interested organizations to sponsor an OGC Innovation Program initiative that explores the current state-of-the-art in geospatial and BIM data integration based on meaningful real-world use cases. Both communities build on different data modeling approaches with respect to fundamental concepts, semantics, access, level-of-detail, and several other aspects.
image_icon  ILIAD - Digital Twin of the Ocean Digital Twin of the Ocean builds a federated, multidimensional representation of the maritime and oceanic ecosystem. The initiative covers the value chain from the smart IoT, satellite Earth Observations, and Citizen Science data to decision-ready information and knowledge. OGC is involved in the standards-based DTO data management APIs definition built on the OGC APIs framework and semantic interoperability of the APIs, Citizen Science, and thematic domains. Finally, we are leading standardization and best practice tasks to enable building the solution in the ecosystem of the Digital Twin of the Earth
image_icon  OGC Sprints OGC Sprints are collaborative events driven by rapid code development to implement and test specific capabilities of a technical approach or standard. This project provides an overview of all future and completed OGC Sprints.
image_icon  OGC Testbed-17 OGC Testbeds are OGC’s largest Innovation Program initiatives. Testbeds boost research and development to make location data and information more FAIR: Findable, Accessible, Interoperable, and Re-Usable. Testbeds provide a unique opportunity for sponsors to tackle location data and processing challenges together with the world’s leading geospatial IT experts.
image_icon  OGC Testbed-18 OGC Testbeds are OGC’s largest Innovation Program initiatives. Testbeds boost research and development to make location data and information more FAIR: Findable, Accessible, Interoperable, and Re-Usable. Testbeds provide a unique opportunity for sponsors to tackle location data and processing challenges together with the world’s leading geospatial IT experts.
image_icon  Second Environmental Linked Features Interoperability Experiment (SELFIE) Building on the content-focused outcomes of the first ELFIE, the Second ELFIE (SELFIE) is designing and vetting Web-resource model and network behavior for cross-domain linked feature data that compliments and uses WFS3 as a building block.
image_icon  UxS Command and Control IE This IE will test the suitability of a C&C data model for UxSs in a real-world environment. The goal of this IE is to assess whether the data model is suitable for multi-domain, multi heterogenous vehicle use and demonstrate exchange of command and control information. IE is based on a data model developed by Kongsberg Geospatial and partners under the Standards-based UxS Interoperability Testbed (SUIT). The IE will consider those other standards and specifications which were used in the SUIT work as well as other Command and Control practices from the aviation community.
image_icon  Water Quality IE The Water Quality Interoperability Experiment will be framed by high-level water quality data use cases. For example, data exchange between local jurisdictions and regional or national environmental agencies is a motivating use case. Specific use cases, such as representation of sampled media or measured constituents, are critical to the success of the IE and will be defined as part of the IE.

Completed Initiatives

To see the list of completed initiatives click here.