Transboundary Storm Risk and Impact Assessment in Alpine regions

European Topic Centre on Climate change Adaptation and LULUCF

CCI+ Phase 2 - New ECVs / Snow (ESA Climate Change Initiative on the essential climate variable snow) 

Facilitating the next generation of effective and intelligent water-related policies utilising artificial intelligence and reinforcement learning to assess the water-energy-food-ecosystem (WEFE) nexus

R4openEO - Integrating R Analytics with openEO Platforms

Definition of the Climate Adaptation Plan for Marche region

Multi-frequency SAR applications to the cryosphere

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openEO Platform: a Federated Open Earth Observation Platform

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Eurac Research is a private research center​ based in Bozen-Bolzano. Our researchers come from a wide variety of scientific fields and all parts of the world.

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https://webassets.eurac.edu/31538/1629894586-open-eo-platform.png?auto=format&fit=max&w=1200

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The openEO Platform project funded by the
European Space Agency (ESA) builds upon the EO cloud processing platforms
managed by VITO, Sinergise, EODC and Eurac, and the platform management as well
as software development experience of these partners. The project has the
ambitious goal to create a federated open infrastructure for processing of
earth observation data not dissimilar to the scope of the Google Earth engine
but in an open source environment. The openEO API’s original goal of mitigating
the current heterogeneity in interfaces of cloud-based EO processing back-ends
matches the ESA requirement of realizing a federated infrastructure and the
current situation that no single processing back-end serves (or will any time
soon serve) all datasets of interest. openEO Platform will serve different user
groups by providing clients and interfaces tailored to their needs: remote
sensing researchers can make use of a front-end where JupyterLab is being
proposed as its main data science front-end. R users can make use of the openEO
R client and develop workflows in RStudio using R-Markdown. Users accustomed to
building workflows interactively can use the openEO web client for graphically
creating workflows, exploring results, and managing jobs. Software developers
can work in their own programming IDE to integrate services into larger or
dedicated applications. All interfaces share the openEO client-side libraries
to minimize complexity. These libraries are already available for Python, R and
JavaScript, and significantly reduce the learning curve for using these
services. For well-known services such as viewing, OGC services are exposed to
ensure interoperability with other, existing tools. The successful open
development model adopted by openEO will be continued while developing openEO
Platform, in order to make it an inclusive community project.

Eurac Research is responsible for the
organization of the implementation of the pilot use cases building on the
existing experience of earth observation and their strong involvement in the
original H2020 project. Eurac will implement three of the nine use cases
covering 1) the pre-processing of EO data to Analysis Ready data, 2) converting
their existing processing chain for change detection into an openEO workflow
and apply it to larger areas and 3) finally developing a new state of the art
forest canopy mapping workflow built on the integration of very high resolution
commercial satellite data and freely available Copernicus data. 



Contact person: Alexander Jacob <a href="mailto:alexander.jacob@eurac.edu">alexander.jacob@eurac.edu</a>

The openEO Platform project funded by the European Space Agency (ESA) builds upon the EO cloud processing platforms managed by VITO, Sinergise, EODC and Eurac, and the platform management as well as software development experience of these partners. The project has the ambitious goal to create a federated open infrastructure for processing of earth observation data not dissimilar to the scope of the Google Earth engine but in an open source environment. The openEO API’s original goal of mitigating the current heterogeneity in interfaces of cloud-based EO processing back-ends matches the ESA requirement of realizing a federated infrastructure and the current situation that no single processing back-end serves (or will any time soon serve) all datasets of interest. openEO Platform will serve different user groups by providing clients and interfaces tailored to their needs: remote sensing researchers can make use of a front-end where JupyterLab is being proposed as its main data science front-end. R users can make use of the openEO R client and develop workflows in RStudio using R-Markdown. Users accustomed to building workflows interactively can use the openEO web client for graphically creating workflows, exploring results, and managing jobs. Software developers can work in their own programming IDE to integrate services into larger or dedicated applications. All interfaces share the openEO client-side libraries to minimize complexity. These libraries are already available for Python, R and JavaScript, and significantly reduce the learning curve for using these services. For well-known services such as viewing, OGC services are exposed to ensure interoperability with other, existing tools. The successful open development model adopted by openEO will be continued while developing openEO Platform, in order to make it an inclusive community project.Eurac Research is responsible for the organization of the implementation of the pilot use cases building on the existing experience of earth observation and their strong involvement in the original H2020 project. Eurac will implement three of the nine use cases covering 1) the pre-processing of EO data to Analysis Ready data, 2) converting their existing processing chain for change detection into an openEO workflow and apply it to larger areas and 3) finally developing a new state of the art forest canopy mapping workflow built on the integration of very high resolution commercial satellite data and freely available Copernicus data. Contact person: Alexander Jacob <a href="mailto:alexander.jacob@eurac.edu">alexander.jacob@eurac.edu</a>

<table><tbody><tr><td>In the openEO platform project Eurac is one of seven partners and responsible for the coordination of one work package. The project is organized in 7 work packages, shared among the partners.<ul><li>WP 1: Service design</li><li>WP 2: Data Access</li><li>WP 3: Computing Environments</li><li>WP 4: Interfaces and Clients</li><li>WP 5: Use Cases</li><li>WP 6: Outreach</li><li>WP 7: Project Management</li></ul> Eurac is the main responsible for WP 5, the implementation of the use cases. Eurac will coordinate the implementation of 9 different use cases showing the potential of the openEO platform in important earth observation task from monitoring land surfaces, over air pollution to coastal security and tracking of ship movements in the Mediterranean. Eurac is implementing three use cases themselves. The first use case is setting the stage for all other use cases with the preparation of analysis ready data of the most used earth observation assets derived from Sentinel 1, Sentinel-2 and Landsat-8 and linking to existing archives of satellite data in the European data cube facilities of another ESA funded project. Eurac will implement together with the Earth Observation Data Center in Vienna the on-demand pre-processing for flexible data preparation based on the demand of various applications. The second use case implemented by Eurac will be on forest change detection. Here Eurac is building on its experience from previous ESA projects like the ESA Commons and SAR2CUBE projects and will implement its processing chain for continuous tracking of change events in time series of SAR and multi-spectral optical data and demonstrating the capability on past storm events in Southern Germany, Austria and Northern Italy. The third use case gives Eurac the possibility to work with state of the art commercial satellite data for the integration of very high resolution multi-spectral optical data derived from planet satellites as well as the freely available data from the Copernicus program’s sentinel missions, for a down sampling approach for mapping of forest canopy fraction on wide areas. Activities 2020<ul><li>The project was successfully kicked off in September 2020, and started with a number of organization events and meetings to coordinate the implementation of the first use case as well as finalize the requirements for the back-end infrastructure provided by EODC, VITO and Sinergise.</li><li>Further the work on the implementation of the 1st use case has started where Eurac has been working on the implementation of the on-demand pre-processing chains for Sentinel-1 based on a dockerized version of SNAP and Landsat-8 and Sentinel-2 on the FORCE toolbox.</li></ul> Activities 2021<ul><li>The first two service readiness reviews (SRR) have been passed successfully. With this the during team implemented the use cases on the preparation of analysis ready data for Sentinel-1 and Sentinel-2 as well as the second use case for forest change detection.</li><li>Additionally, Eurac together with EODC and VITO submitted and one a CCN on European crop mapping where Eurac is responsible for the validation of a crop map product produced by VITO.</li><li>Eurac has also significantly contributed to the implementation of new processes in the python DASK engine used also by EODC.</li><li>Eurac has just started with the work on the last use case for Forest Canopy Mapping.</li></ul> Activities 2022<ul><li>The third service readiness review (SRR) has been passed successfully. The use case on Forest Canopy Mapping using satellite data has been implemented and showcased during the LPS in Bonn, with a live demo and a poster.</li><li>The European Crop Map validation has not been finalized yet, but it is ongoing.</li><li>Additionally, Eurac together with VITO and EODC submitted a CCN on Client Side Processing, where Eurac is responsible for the extension of existing openEO Python libraries for processing the data locally.</li><li>Multiple tutorials, demos and workshops have been given with the help of our Team at the LPS in Bonn and at the ESA training in Latvia. </li></ul> Planned activities 2023<ul><li>Conclude the Client Side Processing CCN.</li><li>Conclude the European Crop Map Validation. </li></ul></td></tr></tbody></table>