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.

TEAM 10: RogainOnline

TEAM LEADER: Raitis Bērziņš raitisbe at

TEAM MEMBERS: Raitis Bērziņš

PROJECT IDEA: RogainOnline is an Android GPS based orienteering game which lets users collect virtual checkpoints in a similar way to a Rogaining competition only in a personalized manner. Basic phone based gameplay and web platform has already been developed, but still a lot of work needs to be done. Orienteering maps need to be sourced, georeferenced and added to the platform. Social network integration needs to be expanded and also some new game elements like simultaneous competitions and score boards and course composer needs to be developed. Ideas and prototypes for selling and distribution of high resolution orienteering maps could also be worked out.

Technologies used:

  • Android / Kotlin programming + GMaps on phone side
  • Vue.js (client) + Express (Backend) for web platform
  • OSM data for Europe to check validity of control locations

Links to android app and web platform:

TEAM 9: Social Space for Smart Farming

Project leader: Petr Uhlir uhlir(at)

Team members: Marek Splichal, Michal Kepka, Andrei Grishanov, Ratis Berzins, Raul Palma, Ilze Bargā, Karel Charvat, Jiri Kvapil, Dmitrij Kozuch

The goal is  to design and developed prototype of Agriculture Innovative Hub, which will integrate on one side principles of social media like Blog, Forum, design Science Shop, which will be able to connect users with developers and researchers and also integrate different types of demo application, where farmers developers, researchers will have chance to cooperate, test different API for new solution and also provide common experiment. Solution will be based on utilization of Liferay Portal and as backend will use SQL and non SQL database and will integrate tools like SensLog, HSlayers NG etc.