TEAM 13: Arctic Geodata and Fishery Statistics. #INSPIREhackathon

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1 TEAM 13: Arctic Geodata and Fishery Statistics 1

2 TEAM MEMBERS AND SUPPORTING PROJECTS Torill Hamre (NERSC), Bente Lilja Bye (BLB), Markus Fiebig (NILU), Arnfinn Morvik (IMR), Per Gunnar Auran, Bård Johan Hansen, Ståle Walderhaug, Arne Jørgen Berre (SINTEF), Jovanka Guliscoska (Viderum)

3 PROJECT IDEA The targeted area is sustainable aquaculture and bio-economy. We want to combine different types of met-ocean data (e.g. ice edge, SST) and fishery statistics to investigate potential links between climate change and activity in the polar region in and around Svalbard. We will evaluate if the FAIR principles are met for the chosen variables, using Copernicus, BarentsWatch and other open data resources.

4 PROJECT RESULTS Initial exploration of data sources with WMS API in QGIS

5 PROJECT RESULTS Initial exploration of data sources with WMS API in CKAN

6 INPUT OR NEW DATA CMEMS Sea Ice Edge (OSI TAC) CMEMS Sea Ice and Ocean Temperature (OSI TAC) Fisheries Information (BarentsWatch) Fishery statistics (Norwegian Directorate of Fisheries) Small pelagic fisheries planning and fish stock assessment (DataBio)

7 USED OR GENERATED SOFTWARE/TOOLS QGIS - Open Source GIS - Supports a wide range of APIs (e.g. WMS, WCS, ) Easily extensible (plugins) Many community plugins available CKAN - Open Source Data Portal Platform - Rich feature set (e.g. datastore, dataset registration, catalogue harvesting) Defines Action API for clients to access core functionality Can write own extensions (plugins) Over 200 community extensions

8 USE OF APIs OPeNDAP (for CMEMS data) OGC WMS (making maps) OGC WCS (getting gridded data) BWOpen (fisheries facilities, AIS) other APIs to be explored APIs to be created (Fishery Directorate, others)

9 INSPIRE/GEOSS/COPERNICUS/ RELEVANCE INSPIRE: downloading data, visualize, transform Copernicus: use of Copernicus data sets, enrichment of Copernicus data with INSPIRE data GEOSS: Create new information, result oriented use of Earth observations

10 CROSS SECTORAL OR CROSS BOUNDARY INTEROPERABILITY The enrichment of Arctic Copernicus data can be applied on other areas than fisheries, e.g. shipping, arctic tourism etc. Interoperability lies in i) using APIs and ii) visualization so that new information becomes evident (time series, trends)

11 BUSINESS/INNOVATION The information products derived from the INSPIRE data (statistics) enrichment of Copernicus data have a potential of commercialization (new information, time saving) Cooperation with other INSPIRE hackathon teams can be fruitful and result in more information products (e.g. Tunafishing pilot in DataBio, former INSPIRE hackathon team)

12 ENVIRONMENTAL, SOCIETAL AND/OR ECONOMICAL CHALLENGES The resulting INSPIRE data enriched Copernicus data and services can provide natural resources management food security monitoring secure activities in the Arctic both equipment (boats, fish farms, etc) and humans economic foresight

13 FOLLOW-UP The team has planned to combine further data sets, like zooplankton (IMR), AIS (SINTEF) and also involve other partners (Fishery directorate, BarentsWatch, OECD, other) Further use and development of visualizations of the combined APIs (time series animation)would be interesting for next INSPIRE hackathons. INSPIRE Conference, Antwerp, 19th Sept 2018