User Friendly and Non-Disturbing Metadata Integration

TEAM LEADER: Tomáš Řezník

TEAM MEMBERS: Dmitrij Kožuch, Karel Charvat, Štěpán Kafka, Marek Šplíchal

PROJECT IDEA: Earth Observation data (Sentinel-1) as well as the Open Land Use ( dataset are both described by INSPIRE metadata as requested by legislation. Such metadata are online converted into the GeoDCAT format in order to support tasks related to semantisation. Moreover, Lesprojekt developed a convertor allowing to transform on-line GeoDCAT into KML and/or GeoJSON. Metadata may then be visualized through Google Earth and/or any GIS platform respecting KML/GeoJSON.

We would like to present through this demo the ideas of opening INSPIRE to IT as well as “wipe off” the border between metadata and data.The secondary goal is to test different implementations of GeoDCAT AP which could be a basis for implementation of INSPIRE and GEOSS solutions and for sharing metadata between different projects (DataBio, NextGEOSS, etc).

Improving Security Issues for Spatial Analyses Visualization

TEAM LEADER: Marek Šplíchal

TEAM MEMBERS: Michal Kepka, Jan Sháněl, Šimon Leitgeb

PROJECT IDEA: the idea of the project is to improve security questions of visualization portlets in the Liferay portal. The Liferay portal is the main front-end environment for visualization of spatial data and spatial analyses results. These issues will improve security of receiving data from mobile devices and middleware of the visualization chain.

Mobile App for Open Land Use

TEAM LEADER: Michal Kepka

TEAM MEMBERS: Šimon Leitgeb, Dmitrij Kožuch

PROJECT IDEA: the aim of the project is to improve mobile application using the Open Land Use (OLU) data set. The mobile application will visualize OLU layer and current mobile position and it allow users to rectify the content of the OLU at the level of attributes. On the other hand in regions where OLU is not available yet, it will allow users to collect data to contribute to the OLU data set. The application will collect both attributes and geometries of spatial features. The solution combines Cordova framework for mobile application, SensLog application for data collection and publishing and GeoServer for OLU data publication.

The project is following the project starting in the INSPIRE Hack. Where most of the design work was done and development and testing will be done during Open Data Hackathon.

Semantic Data in 3D

TEAM LEADERS: Karel Jedlička + Raul Palma

TEAM MEMBERS: Raitis Berzins, Dmitrii Kozhukh, Jan Sháněl, Vojta Lukas, Raul Palma, Otakar Čerba

PROJECT IDEA: integration of  3D Open Land Use and Linked Data Generation INSPIRE Hack Teams.

From the technical point of view, the project consists of a 3D web based application. The 3D visualization serves here as a natural access point for the integrated data exploration. Large geographical dataset Open Land Use visualized on top of the EU-DEM terrain gives an initial view on any area of interest inside EU. An RDF dataset of Smart Points of Interest (SPOI) then gives a user the opportunity to deeply explore all the descriptive data linked to a particular place (e.g.: DBPedia, WikiMedia, Linked OSM).

From the point of view visualizing large geographical data it was necessary to:

  • Use an existing tiling service for visualizing the terrain itself.
  • Take the observer position and line of sight into account to visualize a proper region of Open Land Use dataset.

Talking about linked data, there is one service defining an area of interest each time the user change it (by moving, zooming, panning). Then a Sparql query is triggered to acquire related SPOI’s. The requested data are then on-the-fly transformed into a geographic data format and visualized on top of a terrain. After, the user can interact with both the geographic and descriptive context of the data.

Such an application can be then used by both customers (e.g. find your farm producer) and farmers working on precision farming (when the linked data are somehow related do agriculture – e.g. different IOT field sensors, etc)

COMMENTS: This is an integration of INSPIRE Hack 2017 teams (Linked data generation, 3D Open Land Use, Find your farm producer, …)

For now, the solution is not fully integrated, but we know, that we can integrate SPOI RDF into HSLayers:;Land%20use%20parcels

What we need is to add it “on top of a terrain” in the Cesium plugin

Open Land Use 4 Africa

Team leader: Dmitri Kozuch (Lesprojekt, Czech Republic)

The team working on Open Land Use 4 Africa project will integrate newly identified data sources into the map.

One of the sources is the Africover project which has done land cover mapping of particular African countries. The data is available for download for 10 African countries.

Also it was found GHSL (Global Human Settlement Layer) dataset – from which areas of residential land use has been identified. It is also available for the download.

Moreover, it is possible to use other tags from OSM to identify land use except the ‘landuse’ tag. For example, ‘natural’, ‘amenity’, ‘leisure’ tags etc.

All in all in the list of priorities according to the data spatial resolution will be 1) features from OSM 2) features from Africover 3) features from GHSL

The current state of the map can be seen here: