Plan4all Joined ‘DigiCoalition’

Plan4all joined the Czech National Coalition for Digital Jobs (DigiKoalice) by signing the memorandum regarding digital education.

Plan4all will cooperate across the private, academic and governmental sectors in order to support digital job activities, digital education, digital technologies and digital skills of the general public.

The establishment of DigiKoalice was initiated by the Ministry of Education, Youth and Sports of the Czech Republic. DigiKoalice is an open fellowship of representatives of state institutions, IT companies, ICT sector, educational institutions, academic assemblies, non-profit organizations, statutory authorities of schools,  educational institutions and other entities, that  wish to contribute to better digital literacy of citizens of the Czech Republic, to increase their chances of succeeding in the labour market with help of their digital skills and a result, improving the competitiveness of the Czech economy.

Friday Webinars

Be prepared for the next batch of Prague INSPIRE hackathon’s LIVE webinars! On Friday 18th Jan 2019 we offer two webinars, one at 12pm and the second at 3pm CET. 

The topics of the 12 pm webinar are: Artificial Intelligence, Territorial Planning, and 4D Environmental Maps and you can SIGN UP at:…/

The topics of the 3pm webinar are: Big Data, Arctic Geo Data, and Hackathon Methods SIGN UP at:…/

It is still time to register for the Prague INSPIRE hackathon:

TEAM 15: Visualization of Arctic Geodata and Fishery Statistics

Project leader: Jovanka Gulicoska jgulicoska(at)

Team members: Bente Lilja Bye

Project idea: We want to use and develop visualizations of time series (animation) where different types of met-ocean data (e.g. ice edge, SST) and fishery statistics are combined to investigate potential links between climate change and activity in the polar region in and around Svalbard.

The Environmental Atlas of the Liberec Region in QGIS is Almost Ready

Are you interested in this hackathon project?  Have you visited this atlas?

I am happy that team has done a large progress and QGIS is now ready to discover and visualize map compositions from the Liberec Atlas.

See our solutions

This is other step to the vision of social space for geospatial data, which members of Plan4all  started developed in past in the SDI4APPS and OTN projects. Join us and help us build this vision and make geospatial data available for everybody.

Would you like to know more about this concept and solution join our webinars where this concept will be presented.

Video from the Webinar on Semantics, FOODIE Ontology and Satellite Data API

Jon Blower gave a short introduction to the main concepts of Semantic Web / Linked Data and gave some examples of their application in practice. Jon also talked about some of the benefits and challenges associated with adopting these techniques in real situations, drawing particularly on examples from the MELODIES project and other related efforts.

Dr Jon Blower is the Chief Technology Officer for the Institute for Environmental Analytics (IEA), a partnership of academic and commercial organisations, based at the University of Reading. He leads a number of collaborative projects in the area of environmental informatics and visualisation, applying advanced techniques in information technology to make environmental information more accessible and useful for researchers and decision-makers. These projects have addressed a wide range of sectors, including renewable energy, transport, city planning, agriculture and insurance (see

Karel Charva
t talked about the FOODIE data model and the FOODIE ontology and demonstrated how these principles are implemented in the DataBio project He also discussed how we can develop a standard API for satellite data for farm information management systems.

Karel Charvat graduated in theoretical cybernetics. He is a member of International Society for Precision Agriculture, Research Data Alliance, Club of Ossiach, CAGI, and CSITA. He was in period 2005 – 2007 President of European Federation for Information  Technology in Agriculture Food and Environment (EFITA), OGC Agriculture DWG, he is vicepresined of Club of Ossiach,. He was organiser on many hackathons, where as most important were INSPIRE Hacks I and II and MEDHackathon. He work on implementation on national INSPIRE Geoportall. Now he is also active in Plan4all assotiation. He has long time experience in ICT for Environment, transport, Agriculture and Precision Farming. Now he is one from promotors of Open and Big Data in Agriculture in Europe. Participation in projects: Wirelessinfo, Premathmod, EMIRES, REGEO, RuralWins, Armonia, aBard, EPRI Start, Ami@netfood, AMI4For, Voice, Naturnet Redime, Mobildat, SpravaDat, Navlog, c@r, Humboldt, WINSOC, Plan4all, Habitats, Plan4business, SmartOpenData, FOODIE, SDI4Apps,  AgriXchange, FOODIE, SDI4Apps, OTN, DataBio, SmartAgriHub, AFarCloud, EO4Agri.

TEAM 14: 3(4)D Environmental Atlas of the Liberec Region

Project leader: Karel Charvat charvat(at)

Team members: Raitis Berzins, Simon Leitgeb, Marek Musil, Jirka Kvapil,karel Jedlicka, Irena Koskova

Project idea: The Environmental Atlas of the Liberec Region  is a tool attracting young people to the problem of environment and geosciences.

It offers information, texts and games to young people. On the portal exist large amount of thematic maps and system support easy building of new thematic maps.

Including gaming maps

The idea is to reuse solution from DataBio and integrate 3D into the atlas.

TEAM 13: Albatross – GUI to Fuse Dataset from Different Data Sources

Project leader: Christian Zinke-Wehlmann zinke(at)

Team members: Tom Collins, Amit Kirschenbaum, Tomáš Pavelka, Willy Steinbach

Project idea: We will extend the Albatross application in order to handle (find and link) and fuse different datasets (e.g. FOODIE, sensor data, Sentinel data) within one visualization for different purposes. Within the first case, we will use geoLIMES to discover geospatial links and show them on a map (fields, sensors, etc). Optionally, we will develop an interface to EO data in order to provide them to the user. Additional features are to provide several analysis possibilities of the given data.

OGC Discussion Paper on GeoDCAT-AP

OGC has recently published a discussion paper, a documents that presents technology issues being considered in the Working Groups of the Open Geospatial Consortium Technical Committee.

The key topic of the paper is the GeoDCAT Application Profile, an initiative trying to combine the DCAT metadata as they are used in the open data and e-government community with the EN ISO 19115/57/19 standards and the INSPIRE metadata as they are used in the geospatial community.

The discussion paper is a result of concerted effort of several specialists and results of numerous EU projects including:

  • OpenTransportNet – a transport related project whose results are sustained by Plan4all
  • DataBio – a project being implemented by some of the Plan4all members and Plan4all acts as an associated partner
  • PoliVisu – a policy design and innovative project executed by a number of organisations including Plan4all

The discussion paper can be found on this web page:

And here is a direct link to the PDF version of the document:

Progress report for QGIS as a Client for DataBio/FOODIE RDF Data

We started to analyse, how to query farmers satellite data from farm management information systems. Help us with this tasks and agree on a common interface.

Farm data or field data (it could be a single field)

Processed data on the hub (data could be stored as processed or process can be calculated on demand).

What a farmer needs

Response could be or raster or vector.


  • How could be queried server from client side (if we are using defined processing, probably we can use the same query for both stored or processed data)
    • we need define, how will look API for querying
    • we need define data model for transferring data for single fields
  • How will be send back result
    • in case of vectorized data, probably will be necessary to define only format and model
    • in case of raster data?