Webinar No. 3: Essential Biodiversity Variables and their metadata

Learn about the Essential Biodiversity Variables and their metadata. You’ll meet CKAN based data hub expert Wolfgang Ksoll, Biodiversity experts Stephan Hennekens and Elnaz Neinavaz, Marie-Francoise Voidrot from OGC and expert on standards, and Karel Charvat & Bente Lilja Bye from Plan4All and a number of H2020 projects!

TEAM 8: Exposing GUF Metadata as DUV in the GeoDCAT-ap Output of GeoNetwork

TEAM LEADER: Paul van Genuchten

TEAM MEMBERS: Looking for organisations that have GUF metadata (or other User Feedback on datasets)

PROJECT IDEA: In the scope of ‘ELISE tools’ the GUF (http://www.opengeospatial.org/standards/guf) schema has recently been added to GeoNetwork (https://github.com/metadata101/guf10). GUF allows to store User Feedback linked to datasets. W3C has released a DUV schema (https://www.w3.org/TR/vocab-duv) for User Feedback that links into DCAT. Goal of this project is to develop a DUV export of GUF as part of the GeoDCAT-ap export capability of GeoNetwork. And if feasible also create a schema.org/review output as part of the schema.org/Dataset annotations in the metadata HTML visualisation.

TEAM 7: Light Weighted INSPIRE Harmonization Using Metadata in GeoNetwork

TEAM LEADER: Paul van Genuchten

TEAM MEMBERS: Antonio Cerciello, … I’m looking for organisations that have non-harmonised datasets that are eligible for INSPIRE and are willing to go through a process of harmonisation using this light weighted approach.

PROJECT IDEA: These days many data providers implement INSPIRE data harmonization at the end of the data pipeline. The harmonized data is not used by the organisation itself. This approach has a big risk. In the harmonization process data may get lost or be placed out of context. In this experiment I want to experiment with a light weight harmonization approach based on linked data principles.

The idea is to extend the iso19110 feature catalog metadata of INSPIRE source datasets with references to relevant INSPIRE ontologies (https://github.com/inspire-eu-rdf/inspire-rdf-vocabularies) in such a way that any client software would be able to take the source dataset (as-is) combined with the extended iso19110 metadata to create basic INSPIRE GML.

This work builds on this project https://github.com/geonetwork/core-geonetwork/wiki/Use-iso19110-in-GetFeatureinfo-response-visualisation

Webinar No. 1: ORLÉANS/OGC INSPIRE HACKATHON 2018

Plan4all in cooperation with OGC and several EU projects cordially invite you to the first webinar dedicated to the ORLÉANS/OGC INSPIRE Hackathon 2018.

Date: Friday, February 23rd

Time: 3pm CET

For more information and registration to the webinar, please visit the following page:

https://nextgeoss.lpages.co/introduction-to-orleans-ogc-inspire-hackathon/

TEAM 1: Easy-to-Use Satellite Images Discovery in a Map Viewer

TEAM LEADER: Tomáš ŘEZNÍK (Masaryk University/Lesprojekt/Wirelessinfo/HSRS)

TEAM MEMBERS: Šimon LEITGEB (Masaryk University/Lesprojekt/Wirelessinfo), Štěpán KAFKA (HSRS), Karel CHARVÁT (Plan4All/Lesprojekt/Wirelessinfo/HSRS), other participants are warmly welcomed

PROJECT IDEA: Discoverability of geospatial data and services (aka resources) has been considerably improved during the last decade as several catalogues have been developed, fulfilled with metadata and being in daily use for many users. Nevertheless, it means that a user typically works with her/his GIS system and opens a catalogue as a specialized application. Such paradigm may suit to geospatial experts.

On the contrary, a laymen expects one simple tool for maps viewing. (S)he does not like to bother with another application to discover which other geospatial resources are available for a currently zoomed area.

The aim of this team is therefore to develop an easy-to-use satellite images discovery integrated directly in a map viewer. We intentionally do not use the term ‘catalogue’ as (1) we would like to erase borders between data and metadata in our application and (2) we would like to retain catalogues in a way they are.

Relevant resources to a currently zoomed area will appear through links to satellite programmes’ APIs, such as Copernicus’ Open Access Hub. The developed application will be based on OpenLayers 4-based framework called HSLayers NG (see https://github.com/hslayers/hslayers-ng).

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/.

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 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.

TEAM 4: REST API from Traffic Modelling

TEAM LEADER: František Kolovský/University of West Bohemia

PROJECT IDEA: The goal of the project is developing REST API for the traffic modeling. The traffic modeling will be provided as a service via API. The backend of the API will be based on Python programing language using Flask framework. The final API should be ensured complete data, account and modelling management for transport modelling for a city area. The API will be used by Javascript frontend application.

The computing of the traffic will be ensured by using Apache Spark with JobServer (REST API for Apache). PostgreSQL with PostGIS extension will be used for data storage. OpenTransportMap is a suitable data source for creating road network for modelling.