ORLÉANS/OGC INSPIRE Hackathon 2018 – Metadata

Plan4all and the Open Geospatial Consortium (OGC) in cooperation with the DataBio, NextGEOSS, PoliVisu and EUXDAT projects cordially invite you to the next satellite INSPIRE hackathon that will take place during the OGC Technical Committee meeting in Orléans (France) on 22nd March 2018.

More details at http://www.plan4all.eu/orleans-ogc-inspire-hackathon-2018/.

INSPIRE Conference 2018

The 2018 edition of the INSPIRE conference will take place in Antwerp, Belgium, 18-21 September. The motto of this years’ event is INSPIRE users: Make it work together!

The European INSPIRE Directive leads to a digital highway for sharing information on Europe’s environment. Member states are rapidly extending this network to reach all levels of government and application areas beyond the environment. Now that we have this essential European facility in place, we can exploit it to the full to support the digital transformation of European society.

The call for submissions is organised in 3 strands:

  1. INSPIRE the Users: In this strand special attention goes to inspiring the usage and users of INSPIRE. Both public and private parties are invited to share their experiences with creating applications that benefit from INSPIRE.
  2. Doing it Together: This strand is dedicated to ‘cooperation’. We are looking for examples where the cooperation between public and/or private sector organisations and programmes has been successfully developed to support the implementation of INSPIRE.
  3. Making it work: The strand adressess a more technical approach to ‘make it work’. We are calling for submissions where implementation issues have been identified and where the source of the problems has been – or needs to be – addressed (e.g. Simplifications encoding, Automatisations, quality assessment, etc.).

The call for submissions to the 2018 INSPIRE conference is now open: come and be part of this European success story!

https://inspire.ec.europa.eu/conference2018

Results of the Prague INSPIRE Hack 2018

The jury members Marie-Françoise Voidrot (Open Geospatial Consortium), Martin Pelikan (Czech University of Life Sciences in Prague) and Ondrej Svab (Czech Ministry of Transport) awarded the following winning teams:

  • 1st place: Big Data for Fishery by Karel Jedlicka, Dmitrij Kozuch, Petr Uhlir
  • 2nd place: Extension and Enrichment of SPOI Knowledge Base by Raul Palma, Otakar Čerba, Stein Runar Bergheim, Raitis Berzins
  • 3rd place: To Determine Fertilization Timing by Marcela Doubkova, Apurva Kochar, Karel Jedlička, Karl Gutbrod, Vojtech Lukas, Michal Kraus

 

Source: PEF CZU Prague

 

TEAM 11: To Determine Fertilization Timing

TEAM LEADER: Karl Gutbrod

 

PROJECT IDEA: A common problem of farmer relates to the decision when and where to fertilize the soil in relation to a given crop stage, weather conditions or field topography. With this project idea we want to prepare for a potential user a set of tools helping him to decide about the feasibility and  rentability of going to the field and fertilize given a current weather and soil conditions in given relief and potentially also given a current crop stage.

Decision criteria are:

  • is nitrogen fertilisation useful  in that area (land use map) – not in forest, water
  • is nitrogen fertilisation permitted in that area (optional: map of water catchment areas, seasonal restrictions, protected areas)
  • is the crop at the right stage (Satellite maps: is the crop in a phenological phase that requires fertilizer? + photographs acquired from the smartphone (both optional))
  • is the soil not too wet to apply fertilizer and drive with a tractor (soil type and moisture ).

TEST CASE:

  • multiple corn fields in Austria

DATASETS:

  • Open land use map
  • Crop growth incrementation from Sentinel-2
  • Soil type
  • Climate: rainfall, wind.., as well as historical weather data
  • Soil moisture
  • topography

TEAM 10: Extension and Enrichment of SPOI Knowledge Base

TEAM LEADERS: Raúl Palma (PSNC), Otakar Čerba (UWB)

PROJECT IDEA: The goal of this working group is to improve the SPOI dataset, both by extending and improving the underlying model (ontology), and to enrich the knowledge base with links to other relevant datasets. Regarding the ontology, we aim to include properties definitions, mappings to other vocabularies to the current taxonomy of classes, and possibly additional terms for annotations/ratings. Regarding the dataset, we aim to discuss and find possibility of linking with review/ratings datasets, relevant eurostat indicators, and others that may be identified during the hackathon.

TEAM 9: Metadata and Semantics in the Era of Big Data

TEAM LEADERS: Tomáš Řezník (Masaryk University/Lesprojekt), Raúl Palma (PSNC)

PROJECT IDEA: Our team would like to share with you the latest development of the European Horizon 2020 research and development project called Data-Driven Bioeconomy (DataBio). This DataBio workshop on metadata and semantics in the Era of Big Data may be considered as a starting point for any activity aiming at new way of (geospatial) metadata handling.

More precisely, we would like to focus on the following issues:

  • Tight data and metadata together: ensure updated metadata despite Big data velocity updates.
  • Support metadata heterogeneity: enable discovery of static (e.g. datasets) as well as mobile/other resources (e.g. sensors active during agricultural machinery fleet tracking) in a unified platform.
  • Use efficient encodings: support XML-based format for backwards compatibility, on the contrary use visionary lightweight and semantics-based formats.
  • Integrate metadata in other tools: the best metadata platform is the one where a user does not notice that (s)he works with metadata.

TEAM 8: Delimiting of Agro-Climatic Zones

TEAM LEADER: Karel Jedlička, Carl Gutbrod

PROJECT IDEA: Current climate zones maps are very generic : they show large areas and display some differences in topography. Things like seaside buffer zones, weather divides and South-North differences are not shown. The idea is to provide local agro-climatic maps by processing detailed EO data.

Proposed workflow:

  • Define the Area of Interest (EU/World?)
  • Discuss if it would help to divide the area of interest to current climate zones or to propose different segmentation (e.g. Watersheds?).
  • Design a method of segmentation
  • Design a method of calculation of of average, mean, min and max, slope, aspect and altitude morphometric characteristics to each particular zone defined by vector overlay (Climate zone/Watershed/Open Land Use Zone/whatever)
  • Design a method of calculation of water buffers
  • Do a pilot study on smaller area (such as one country) as a proof of concept

TEAM 7: Lora and SigFox Connectors for SensLog

TEAM LEADER: Mara Musil

PROJECT IDEA:  Our vision is to build Senslog as universal web server, which will be able to integrated observation from different sensors, different platforms, different standards. The SensLog is expect to be in future some type of observation broaked with focus on localised data. From this reason, we would like integrate connectors for currently two most important “industrial” standards. Are you working with Lora or SigFox,  if yes join our team to cooperate on integration of this protocol and testing of connectivity among different platforms.

TEAM 6: Cloud Version of SensLog

TEAM LEADER: Ondřej Kaas

PROJECT IDEA: New version of SensLog was implemented during last months. This new version is more oriented on SensLog deployment in the cloud environment. New SensLog version is based on modern frameworks and with emphasize on real time processing.  The project is focused on testing of deployment of new SensLog and testing of API.