Lisbon INSPIRE Hackathon 2019: Team 2 – Inclusion of Scientific Publications in Geospatial User Feedback

TEAM LEADER: Alaitz Zabala, UAB, alaitz.zabala(at)uab.cat

TEAM MEMBERS: Joan Masó, CREAF

PROJECT IDEA:  Simplify the inclusion of scientific publications in the Geospatial User Feedback by adding an automatic import from a RIS citation format.

Feedback items related to publications in several elements: publications, reference documents,… 

Currently, describing a scientific publication when filling in a Geospatial User Feedback item, means describing much information and even creating new resources (e.g. individual authors). This is currently a manual process, so mistakes can be taken.

As many journals allow describing a citation using standard formats such as RIS, the Geospatial User Feedback system, NiMMbus, can benefit by adding the functionality of automatically importing the RIS citation format. This will lead to the easy creation of new publication citations.

Lisbon INSPIRE Hackathon 2019: Team 1 – The Future of EO in Agriculture, Possibilities and Constraints

TEAM LEADER: David Kolitzus, GeoVille (kolitzus@geoville.com)

TEAM MEMBERS: Martin Siklar (siklar(at)geoville.com) , Stefanie Rohland (rohland(at)geoville.com), Sigrid Mourits-Andersen (mourits-andersen(at)geoville.com)

PROJECT IDEA: Collect scientific evidence, success stories and related initiatives regarding current Earth Observation (EO) practices to remove or reduce gaps and identify priorities to meet identified key user requirements in the agricultural domain.  This will serve as a basis for reaching out to dedicated EU DGs and the respective decision makers to foster the integration of EO data and related technologies in the agriculture sector.

The findings of this hackathon will be developed further and combined with other knowledge hubs.

This initiative is based on activities in the EO4Agri project – http://eo4agri.eu/

The additional impact shall be created by reaching out to key science experts to validate our findings.

TEAM 6: Integration of Meteoblue Data with Sensors and Visualisation Client

This is the team no. 5 for the Patras DataBio Hackathon 2019.

Team mentors: Marek Splichal, Raitis Berzins, Michal Kepka

Description: For the purposes of this hackathon, Meteoblue data / image / map API for weather forecasts and historic data will be available. The goal of this team is to support integration of these data with HSLayers NG and SensLog and provide climatic services.

INSPIRE Hackathons Featured at the EuroGEOSS Workshop 2019

The results from the distributed INSPIRE hackathons (Patras DataBio Hackathon 2019 and the Lisbon INSPIRE Hackathon 2019) will be presented at the EuroGEOSS Workshop 2019 in Lisbon, 4th July 2019 at the session Best practices on how to involve users to achieve EO service sustainability (2-3.30pm).

More information about the EuroGEOSS Workshop 2019 can be found at https://ec.europa.eu/easme/en/easme-home/eurogeoss-workshop-2019

TEAM 5: Unusual Data Exploration

This is the team no. 5 for the Patras DataBio Hackathon 2019.

Team mentors: Pavel Hájek, Runar Bergheim, Raul Palma

Description: We would like to inspect opportunities of statistical data across the Europe, in order to explore new, unexpected patterns in data. First of all, any relevant statistical data about demography, agriculture, industry, etc. need to be found and inspected. Then, such data should be consolidated to statistical areas of NUTS3 regions, if they are not already. And finally, appropriate (multi criterion) analysis should be applied that may  unveil unusual data patterns and relations.

European Big Data Value Forum 2019

European Big Data Value Forum

We are happy to inform you that you can already register to the European Big Data Value Forum 2019 (http://www.ebdvf.eu/) that will take place from 14 to 16 of October in Helsinki (Finland). You can check the entry fees here: https://www.european-big-data-value-forum.eu/registration-2019/, and get your tickets hereEarly bird tickets are available until the 26th of July.

The European Big Data Value Forum is the flagship event of the European Big Data community. Around the theme “Artificial Intelligence and Big Data Transforming Business and Society”, the edition of this year, jointly organized by the BDVA, the EC and VTT, is aimed to attract more than 600 participants, including relevant European industry players, policy makers and research community. You cannot miss it!

Programme of the Agriculture DWG Meeting in Leuven

Programme of the Agriculture DWG meeting at the OGC meeting in Leuven

Date: 24th June 2019

13 00 – 14 30

  • Karel Charvat (Plan4all) – Meeting introduction 5 minutes
  • Fabien Castle (Atos Fr)– EUXDAT – cloud and HPC solution for Agriculture 10 minutes
  • Gerhard Triebnig  (EOX)– EO4Agri – Bringing together the knowledge  for better Agriculture Monitoring 10 minutes
  • Karel Charvat (Plan4all)  – From sharing services to sharing maps 10 minutes
  • Jorge de Jesus,  Bas Kempen (ISRIC) – Soil data interoperability (based on WFS 3.0 and Linked Data) in the context of establishing a Global Soil Information System 10 minutesT
  • Tomas Reznik (Masaryk University) – SIEUSOIL 5 minute
  • Raul Palma (PSNC) – FOODIE Ontology and its role in CYBELE/DATABIO 10 minutes
  • Tomas Reznik (Help Service Remote Sensing) – Discovery of Geospatial Datasets by Mainstream Searching Engines: Get Your Data Visible at Google 10 minutes
  • Ingo Simonis (OGC Europe) – DEMETER 10 minutes
  • Bruce Simons, Andrew MacLeod, Peter Dahlhaus – AgReFed – A federated agricultural research data community 10 minutes

14 45 – 16 15

  • Ivo Senner (Fraunhofer Institute) – Advance visualization of Big Data 10 minutes
  • Jeron Dries (Vito) – Vito solutions 10 minutes
  • Sudip Kumar Pal,  Seppo Huurinainen (WOODIS) – Field Data Collection  (TBC) 10 minutes
  • Vik Vandecaveye  (CEMA)– ISOBUS and machinery standards 10 minutes
  • TBC Ben Schaap (GODAN) – Open Data for Food and Nutrian
  • ●        Discussion  about cooperation and future OGC Precision Farming Testbed 40 minutes

TEAM 4: Sharing Maps as Intelligent Objects

This is the team no. 4 for the Patras DataBio Hackathon 2019.

Team mentors: Jan Vrobel, Simon Leitgeb, Raitis Berzins

Description: Today we propose to you the idea that “maps” are interesting not only as visualizations of Agriculture  data capturing — but as shareable, fascinating and valuable Agriculture objects in themselves. Once, a map used to be an expensive rolled up scroll of calves skin that was drawn by a skilled artist from the manuscripts of daring sea-farers in the great age of discovery. Later, maps were produced by less picturesque but more efficient means – until the advent of the GIS age when a lot of people who previously couldn’t suddenly could make professional LOOKING maps. Nowadays, a map is not a “flat image” but a complex layered object that references data sources ‘scattered’ across a decentralized, democratic and at times volatile Internet.

Our needs are many — and very different — but so are our skill sets; thus offering everyone sophisticated GIS tools capable of making their own maps is not a likely path to ‘happy forever after. It is often simpler, better and more effective to simply give them a “map”.

There currently exists hundreds of services offering spatial information through real-time interactive protocols such as WMS and WFS etc. Soon, if member states and signatories to INSPIRE do as they are legally obliged, this number will be thousands — ten thousands.

The fact that a map is a composite object referring to a lot of live data sources around the net, require the existence of a “Map Composition” standard that describes the elements that constitute a map and how they should be combined to fit together neatly.

An early effort by the OGC was the Web Map Context specification that has not evolved since 2005. This little bit ‘heavyweight’ XML-based standard is limited in scope and has not evolved with the developments in standards and technology in the  years that have passed since its creation. Recently the three European Community funded projects SDI4Apps, Foodie and OTN have started the work of defining a simple, lightweight specification for Map Compositions using HTML5- and bandwidth friendly JavaScript Object Notation (JSON) as a carrier of information.

The current specification of the JSON Map Composition is available on the GitHub Wiki of HSLayers NG.

Initially Concept of Map Composition was supported by HSlayers NG. During Prague INSPIRE Hackathon were implemented pilot  Environmental Atlas of the Liberec Region in QGIS, where for QGIS was developed plugin, which support access to map compositions from server. This development now continue and QGIS is now also able to publish Maps on Web.

We would like to test this approach in different cases during this hackathon. The goal is to connect desktop and web GIS.