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?

Workshop on GI Data and Software in Prague

This is an invitation to the Czech workshop organised by Plan4all and its members that will take place on 24th January 2019 in Prague.

The workshop will present results from numerous project including NextGEOSS, DataBio, IoF2020, SKIN, ROSIE, PoliVisu, EUXDAT, AgroTeach 4.0, Enabling, Premia, AFarCloud, EO4Agri, Simona, SmartAgriHub and LIVERUR.

The thematic domains include smart regions and cities, smart transport and smart agriculture.

The workshop language is Czech, free participation after registration at

Webinar An Introduction to Semantics + FOODIE Ontology and Satellite Data API


In this free webinar, developers, satellite data providers, standardization experts and Farm Managment Information System providers will be introduced to basic semantics. An example from the FOODIE ontology and presentation of challenges related to sharing satellite data trough API will be given. Save your spot today and get reminders and replays directly in your inbox!


TEAM 11:

Project leader: Ondrej Vesely ondrej.vesely(at)

Team members: Michal Kepka (University of West Bohemia)

Project idea: allows hackhathon participants to a near-unlimited usage of it’s REST API. The API allows user’s to identify a plant based on a photo (and geolocation) of a plant or tree. 
Some ideas what you can build with the plant identification API

  • Drone-based flora identification for the purpose of automated endangered species mapping
  • Hardware device enabling automated Lawn-mowers to avoid cutting garden plants
  • Extracting plant species locations from the available geotagged photos (Google Maps, Twitter, …) and correlate the occurrence with various INSPIRE data layers (especially Orthoimagery, Biotopes, Soil and Atmospheric conditions)
  • Smart Plant identification from video recordings including bounding boxes determination

QGIS as a Client for DataBio/FOODIE RDF Data

We started to develop the project for the Prague Hackathon related to use of the desktop solution QGIS as a client for DataBio/FOODIE RDF Data. The work is divided into next steps:

  • Find farm/field boundaries on the client side (QGIS)
  • Display selected data from the farm/field
  • Query the server with satellite data for data from the farm/field
  • Display the selected satellite data for the farm/field in QGIS

That there is no common interface/API for sharing relevant field boundaries data between platforms. It’s therefore difficult to query different satellite hubs and request processed data from these hubs and then also receive back raster of vector data for concrete fields or farms. We would like to use this hackathon as a start for such discussion among different players to agree a set of standards that would enable interoperability between different hubs. We would like to ask all for comments and ideas. Please contact us at charvat(at) and join our effort.