This document describes a mobile app project for open land use mapping. The app will visualize open land use datasets on mobile devices and allow users to edit features and attributes or add notes to propose improvements. It will integrate with SensLog, an open source sensor data management system, to collect volunteered geographic information. The app will be built with HSLayers-NG, an open source mobile-responsive web mapping framework, redesigned with a simple interface following material design standards. The goal is to make land use data more accessible and allow local improvements to inform decision makers. Further development and testing will continue at an upcoming hack event.

1. TEAM 6: Mobile App for Open Land Use
INSPIRE Conference, Kehl, 5th Sept 2017

2. TEAM MEMBERS
INSPIRE Conference, Kehl, 5th Sept 2017
Michal Kepka
geomatician,
developer of Web GIS,
spatial data modelling,
SensLog - sensor data
manager,
University of West Bohemia
Šimon Leitgeb
Lesprojekt,
Masaryk University in Brno,
front-end developer
(HS-Layers NG)
Dmitrij Kozhukh
Lesprojekt,
Open Transport Net
developer,

3. SUPPORTING PROJECTS
•Plan4all association – aims to provide open
datasets in transport, spatial and city planning,
environment and tourism that are easy to reuse
and access – http://www.plan4all.eu/
•DataBio – Data-Driven Bioeconomy – Horizon 2020
project oriented on usage of Big data in
bioeconomy. Pilots are focused on agriculture,
forestry and fishery domain – http://databio.eu/
INSPIRE Conference, Kehl, 5th Sept 2017

4. INPUT DATA
•Open Land-Use dataset
• detailed land-use maps of various regions based on
certain pan-Europen datasets such as CORINE
Landcover, UrbanAtlas enriched by available regional
data
• Open, harmonized and seamless database
• Open and flexible data model
• Combination of global and local data
• http://sdi4apps.eu/open_land_use/
INSPIRE Conference, Kehl, 5th Sept 2017

5. USED SOFTWARE/TOOLS
•SensLog
• web-based sensor data management system.
• solution suitable for static in-situ monitoring devices as
well as for mobile devices with live tracking ability
• module for collecting VGI
• http://www.senslog.org/
• BSD licence
•HSLayers-NG + Cordova
• hybrid mobile and responsive web application
INSPIRE Conference, Kehl, 5th Sept 2017

6. PROJECT IDEA AND RESULTS
•Visualize OLU in mobile app as a editable base map
•Enable to create map features with corresponding
attributes
•Enable to insert notes or proposals for
improvement of the base map (OLU)
•Data model of SensLog VGI module is designed
independently on the target spatial data set
INSPIRE Conference, Kehl, 5th Sept 2017

7. Structure of the solution
INSPIRE Conference, Kehl, 5th Sept 2017
SensLog
core
Database
SensLog
VGI module
HS Collector
for OLU
mobile version
HS Collector
for OLU
web version
OLU

8. Mapping OLU to SensLog VGI
INSPIRE Conference, Kehl, 5th Sept 2017
General VGIObservation
object
Example of OLU feature
as VGIObservation

9. HSLayers-NG redesign
INSPIRE Conference, Kehl, 5th Sept 2017
•conforming to Material design
•goals:
• simple and intuitive UI
• responsive layout
• visual integrity

10. HSLayers-NG redesign
INSPIRE Conference, Kehl, 5th Sept 2017
Geolocation retrieval Layer management Feature list Information collection
+ media

11. HSLayers-NG redesign
INSPIRE Conference, Kehl, 5th Sept 2017
Actions under FAB Menu with componentsSimple UI
with main action button

12. INSPIRE/GEOSS/COPERNICUS/
RELEVANCE
•Mobile App provides functionality to collect
observations to create or update features from the
Open Land Use dataset
•Collecting and mapping functionality suitable for
similar spatial data sets
INSPIRE Conference, Kehl, 5th Sept 2017

13. ENVIRONMENTAL, SOCIETAL AND
ECONOMICAL CHALLENGES
•Mobile App makes OLU data available in the field
•Provides availability of volunteered contribution to
improve data sources
•Locally improvement of thematic data sources as
base data for decision makers
INSPIRE Conference, Kehl, 5th Sept 2017

14. FOLLOW-UP
•Further improvement and testing of the Mobile
App will continue during Pilsen Hack in October
•More functionality will be implemented especially
in the field of data integration to the master
dataset
INSPIRE Conference, Kehl, 5th Sept 2017