FULL TITLE: UPTAKE OF OPEN GEOGRAPHIC INFORMATION …€¦ · Open Smart Tourist Data Leader: University of West Bohemia Contact person: Dr. Otakar Čerba, [email protected] OVERVIEW:

For more information visit: http://sdi4apps.eu/

http://www.linkedin.com/groups/SDI4Apps-3516067The project has received funding from the Union’s ICT Policy Support Programme as part of the Competitiveness and Innovation Framework Programme.

Views expressed in this document are those of the individuals, partners or the consortium and do not represent the opinion of the Community.

FULL TITLE: UPTAKE OF OPEN GEOGRAPHIC INFORMATION THROUGH INNOVATIVE SERVICES BASED ON LINKED DATA

DURATION: APRIL 2014 – MARCH 2017. CIP-ICT-PSP-2013-7.GRANT AGREEMENT NO: 621129




OVERVIEW:

The potential of geographic information (GI) collected by various actors ranging from public administration to voluntary initiatives of citizens is not fully exploited. The advancements of ICT technologies and shift towards Linked Open Data give floor to innovation. The establishment of SDIs has largely been driven by the “traditional” GI community and the national and European policies governing this sector. Geographic information is no longer a separate information space but finds itself part of a larger European information space where the ultimate objective is the creation of value-added services based on use and reuse of public sector information as defined by the PSI and INSPIRE directives rather than exchange of “layers” between different GIS software. Establishing an infrastructure to meet this new and wider objective puts even greater strain on local authorities and institutions that traditionally were users of GI but now find themselves in a an environment where they are expected to be data and service providers, a role that is far more demanding in terms of technical knowledge – and resources. The main target of SDI4Apps is to bridge the 1) top-down managed world of INSPIRE, Copernicus and GEOSS and 2) the bottom-up mobile world of voluntary initiatives and thousands of micro SMEs and individuals developing applications based on GI.

SDI4Apps will adapt and integrate experience from previous projects and initiatives (e.g Habitats, EnviroGrids) to build a cloud based framework with open API for data integration, easy access and provision for further reuse. The solution will be validated through six pilot applications focused on easy access to data, tourism, sensor networks, land use mapping, education and ecosystem services evaluation.SDI4Apps will secure that users profit from INSPIRE and INSPIRE profits from different voluntary initiatives. SDI4Apps seeks to build a cloud-based framework with open API for data integration focusing on the development of six pilot applications. The project draws along the lines of INSPIRE, Copernicus and GEOSS and aspires to build a WIN-WIN strategy for building a successful business for hundreds of SMEs on the basis of European spatial data infrastructures

The University of West Bohemia, established in 1991, has 8 faculties with more than 60 departments and three institutes of higher education. Nearly 19,000 students can choose from a wide range of Bachelor, Master and PhD study programmes. The main expertise of the Geomatics section is in collecting, storing, processing, analysing and presenting big spatial data and spatial information. The research group has a vast experience in spatial data modelling (including 3D), data harmonisation and integration, SDI building (e.g. INSPIRE, GMES, GEOSS), using ontology in spatial domain, and in implementation of ISO and OGC standards for spatial information.

For more information visit: http://sdi4apps.eu/ http://www.linkedin.com/groups/SDI4Apps-3516067

Dr. Tomáš Mildorf,(project coordinator) email: [email protected]




PILOT 1Easy data access

Leader: The National Microelectronics Applications Centre LTD ,Contact person: Dr. John J O’Flaherty, Technical Director, MAC Ltd, [email protected]

OVERVIEW:

The intention of the Easy Data Access pilot application is to adapt Open API which will support easy integration of new appli-cations with existing SDIs.The solution will use results of the Irish pilot from Habitats provided by MAC. The pilot focused on the wider communities’ identification, reporting, and recording for subsequent eradication of AIS instances as they relate to salmon and all inland and coastal native fish species conservation in Ireland and Europe, by adapting a phone app and system that involves the wider communities through awareness, using social media, crowd-sourcing and open map-based geo-data for the identification, reporting, and recording for subsequent eradication of AIS.

Easy Access Pilot Application Scenarios & Use Cases Will be initially focused on the Burren National GeoPark in Ireland Build on the work of the SmartOpenData project Will use the SDI4Apps Platform to enable the following services: 1. Mobile Apps to support Tourism for Conservation 2. Mobile App for Protected Heritage Sites

• Runs for 25 months from Mar15 to Mar17• Effort 27 PMs – 22% of the total WP6 effort of 124 PMs.• Partners – MAC, HYPER, ZPR, E-PRO & PRONATUR• Output – pilot will input to the following public deliverables.

D6.1 Data Models & Platform Specifications for Single Pilots (Jun15) D6.2 Initial Deployment of Single Pilot Platforms (Sep15) D6.3 Progress Report & Pilot Platforms Update (Mar16) D6.4 Progress Report & Final Pilot Platforms Release (Mar17)

The integration of the platform will be supported by pilot applications demonstrating the innovative features of the platform and serving as a space for validation and testing.

Overall schema of data integration and pilot applications




EASY ACCESS PILOT – INITIAL STEPS

1) Mobile Apps to support Tourism for Conservation

Social Validation/Co-design meetings & discussions with the GeoPark stakeholder groups identified the following User Scenario as providing the most immediate benefit/added value to ensure sustainable tourism for the Park.

• SDI4Apps enabled European Tourism Indicators System ETIS Webservice & Apps for the Burren & European GeoParks Network

• ETIS is a new EU standard, that is a locally owned & led process for monitoring, managing, & enhancing the sustainability of a tourism destination.

• To streamline & enhance the current manual system by transforming the ETIS Excel dataset into Linked Open Geospatial Data.

• Webservice & multiple easy-access/VGI Apps for the various stakeholders involved• Public bodies – National Parks Wildlife Service (NPWS)• Experts – Researchers & management in the Burren GeoPark, GeoParks Network.• Enterprises, Companies & SMEs – Burren GeoPark• Citizens – visitors to the Burren National Park.

2) Mobile App for Protected Heritage Sites

Social Validation/Co-design meetings & discussions with the Heritage Council & stakeholder groups identified the following User Scenario as providing the most immediate benefit/added value to protect heritage sites in the Burren & beyond.

• SDI4Apps enabled service to Ground-Truth potential Protected Monument sites• Enabling visitors & people interested in their local heritage, to seek out & ground truth potential Monument sites.• Will mobilise a very motivated community of stakeholders, including• Public bodies – Heritage Council, National Monuments Service, Irish Government Department of Arts, Heritage & the

Gaeltacht.• Experts – Field Monuments Advisors & Researchers• Enterprises, Companies & SMEs – Farmers.• Citizens – visitors & people interested in their local heritage• Ground truthing • Crowdsourcing/VGI process of gathering data in the field• To either complement or dispute remotely collected data.




PILOT 2Open Smart Tourist Data

Leader: University of West BohemiaContact person: Dr. Otakar Čerba, [email protected]

OVERVIEW:

The proposed web application will represent a practical and useful subset from the wide range of outputs of tourist data related projects. It will cover and integrate:• a wide range of input data sets, including OpenStreetMap or local data resources;• design and modify processing, harmonization and exploitation methods and implement standards (for example existing

vocabularies or formats used in the Linked data sphere);• improve the presentation of results and communication between participants in the tourist industry;• develop and implement business methodologies and procedures;• evaluate the effectiveness of the SDI4Apps solution, and limits and benefits of the solution in comparison with existing

technologies;• reuse of results from the international and local projects (for example Habitats, CentraLab) and cooperation with E.L.F.

The achieved state consist in collection of existing data representing Points Of Interests (POI) related to biking and cyclotourism. The current version of covers almost all Europenan countires and contains more than 1 700 000 POI. They were adopted from OpenStreetMap and local resources such as data provided by Uhlava (the partner of SDI4apps project). The data are provided in the RDF (Resource Descriptor Framework) format with use of several standards or respected features (for example RDFS, Basic Geo Vocabulary, Simple Features Topological Relations or classification used in Waze or OpenStreetMap software). The visualization and querying is provided by Virtuoso server and HS Layers.




PILOT 3 Open Sensor Network

Leader: Baltic Open Solution Center, LatviaContact person: RNDr. Karel Charvát, [email protected]

OVERVIEW:

Agriculture requires collection, storage, sharing and analysis of large quantities of spatially referenced data. For these data to be effectively used, they must be shared between different hardware, software and organisations. These data flows currently present a hurdle to uptake of precision agriculture as the multitude of data models, formats, interfaces and reference systems in use result in incompatibilities. Management of huge amounts of data is a challenge.Sensors in the fields, buildings, vehicles or satellites provide data on high time-frequency and fast accumulation of data. With-out smart sensors and better developed data management (including data quality algorithms) the amount of data grows over-whelming and remains unused. Spatial data quality is considered to consist of several aspects, which may be categorised as data completeness (amount of missing features), data precision (positional accuracy or degree of details), data accuracy (attribute accuracy) and data consistency (absence of conflicts of spatial elements). Agricultural data often also have a tempo-ral dimension, thus called spatiotemporal data, consistency in time is also considered. Spatio-temporal data are increasingly collected by remote or in-situ sensors rather than by field campaigns. The wireless communications have several benefits, but also pose challenges to the data exchange reliability and power supply. Sensor calibration and deployment as well as mainte-nance of sensors need resources and technical skills and increase the costs of data acquisition). Both increasing the amount of data and awareness of data quality issues highlight importance that metadata are attached to sensor data.

The aim of the Open Sensor Network pilot is to create an environment where different groups of volunteers (farmers) will be able to integrate low cost sensors (meteorological, quality of air, etc.) into local and regional web sensor networks. The pi-lot application will integrate meteorological data and in-situ meteorological sensing networks based on small stations collect-ing agro-meteorological data to support the crop production systems.

The Open Sensor Network defines a framework for taking an advantage of intelligent sensor webs based on the con-verging technologies of standard meteorological sensors, micro sensors, computers, and wireless telecommunications with data management and analysis in support of agriculture production activities, such as the chemical protection, grape and wine production, fruit protection and production.

The knowledge gained from integrated sensors sensing has the potential to empower managers and decision makers to act on crop and fruit production. The importance of meteorology advisory and measures in agriculture has been increasing during the last decades due to the emerging need to access appropriate information as a consequence of the rapid changes on weather conditions. Although the quality of weather forecasting has improved constantly and agriculture is benefiting from this achieved capability, in many European regions, the currently available meteorological data are not suffi-cient for crop production, as much additional local scale data is needed to be integrated into the specific agro-meteorological models and to take the correct decision in any farm management system.To meet the farmers’ ambitions, especially in the areas where the land parcels are relatively small and involving the growth of “expensive” cultivars (fruits), there is a need of establishing networks of local sensors and meteorological stations. The ongoing significant advancements in sensor technologies and in-situ sensing are expected to support also the devel-opment of more systematic capabilities for assimilating all sorts of in-situ measurements in agro-meteorological models, at relevant scales, to generate immediately (in real time) useful information for farmer’s decision making. The data will also be available for the public sector. It will help not only the farmers, but also protection services. Large monitoring networks will be built using neogeography and VGI (volunteered geographic information) principles for sensors.




Figure 1 Agriculture monitoring

Figure 2 Ground water monitoring

Figure 3 Sensor measurement analysis




PILOT 4 Open Land Use Map Through VGI

Leader: Vidzeme Planning Region, LatviaContact person: RNDr. Karel Charvát, [email protected]

OVERVIEW:

Land use involves management and modification of natural environment or wilderness into built environment such as fields, pastures, and settlements. It also has been defined as “the arrangements, activities and inputs people undertake in a certain land cover type to produce, change or maintain it” (FAO, 1997a; FAO/UNEP, 1999). Land use practices vary considerably across the world. The United Nations’ Food and Agriculture Organization Water Development Division explains that “Land use concerns the products and/or benefits obtained from use of the land as well as the land management actions (activities) car-ried out by humans to produce those products and benefits.” As of the early 1990s, about 13% of the Earth was considered arable land, with 26% in pasture, 32% forests and woodland, and 1.5% urban areas.Land use and land management practices have a major impact on natural resources including water, soil, nutrients, plants and animals. Land use information can be used to develop solutions for natural resource management issues such as salinity and water quality. For instance, water bodies in a region that has been deforested or having erosion will have different water quality than those in areas that are forested. Forest gardening, a plant-based food production system, is believed to be the oldest form of land use in the world.Land use data, urban and regional planning data sets were not aggregated so far, and thus it was very laborious to use them for any other purpose than for printing or simple publishing by the authorities that they were created by. Creating time series or comparative analyses on these data sets was not yet possible; researchers, spatial planners and professionals from the real estate world and other disciplines, such as insurance industry, investors, or market-relevant activities related to urban development have a growing stake in such capabilities.The intention of Open Land Use is to start support voluntary initiative for open land use mapping. The initial work was already done in the Plan4business project and the initiative continues under the SDI4Apps project. The intention is to extend this initiative also outside Europe.

The work is divided into the next steps:• Define data model for land use mapping based on the INSPIRE HILUCS classification scheme• Transfer existing data and build initial land use map as a combination of different sources• Make the open land use map publicly available• Deploy the SDI4Apps mobile and desktop interface for updating the map• Deploy harmonisation tools for updating open land use map using existing available open data

The Open Land Use (OLU) data model joins two basic data models of the INSPIRE land use specification – existing land use and planned land use. The main difference between the INSPIRE data models and the OLU model are caused by the fact that the OLU data model connects planning and existing land use data. In the OLU data model different attributes are used for both types of land use data. The OLU model also follows the INSPIRE land use specification (uses same data attributes; the set of used attributes is larger than in the case of Land Use Database Schema), but it works with more simple view on data. Both models are transformable to each other and it is also possible to migrate data from these model to or from other data sets that are in harmony with the INSPIRE specificationOLU will be used for any land use (and land cover) data, Land Use Database Schema serves just to spatial planning data as a special part of land use data.There are several datasets which could be used for creating harmonised land use dataset. Land use is a dataset which is used in many specialisms including agriculture, spatial or urban planning, environment protection and maintenance and res-toration of environmental functions.Currently SDI4Apps is working on the second step. For the Czech Republic, the following datasets were used and merged to create a new layer of land use:




Urban Atlas – a dataset from the European Environmental Agency, available for cities with more than 100,000 inhabitants.

Land Parcel Information System (LPIS) – a dataset created for agriculture purposes based on imageries. There is a public database including the geometry and land use information.

Other land use data used for example for spatial planning purposes.

Corine Land Cover – a dataset from the European Environmental Agency, currently available in the 2006 version, 2012 version should be released soon.

Cadastral data – data are available for download including an attribute on land use. The land use attributes are not maintained on a regular basis and therefore, the dataset needs an update. The update can be done through other datasets (e.g. LPIS).




PILOT 5Open INSPIRE4Youth

Leader: Czech Centre for Science and Society Contact person: RNDr. Karel Charvát, [email protected]

There will be a set of deployed applications for students and youth, that will include:- educational multilingual materials about regions;- game type materials with a focus on environmental and cultural heritage knowledge;- evaluation of the effectiveness of the SDI4Apps solution, and limits and benefits of the solution in comparison with existing technologies;( The task will cooperate with the Plan4business and E.L.F projects).

Open INSPIRE4Youth will support creativity, technical capabilities, skills, knowledge and also relations, through the sharing the spatial based content around environment. Using new methods of digital cartography enables to go beyond linguistic fron-tiers. There are a great number of geomatics applications and new communication technologies relevant to the young world: for example active collection environmental information, gaming education.

Open INSPIRE4Youth will be focused on more sophisticate methods where young peoples are able to contribute to different environmental and social issues. The combination of both issues will be used as educational methodology, when students will map their territories and also collect information about historical, environmental, cultural and socio economic issues. IN-SPIRE4Youth will mainly share common data with Open Smart Tourist Data. It will include:

1. Users’ data (e.g. notes and comments of particular youths; they will be collected with using web forms to uniform structure based on common data model; they will represent the most important data source from point of view individual presentation and acquisition of data).

2. Free and open-source global data (published mainly by state administration or international organizations; e.g. VMAP /Vector Map/ or Urban Atlas). This group will include also statistical data related to tourist industry (e.g. data from EUROSTAT, Wiki-pedia). CIP-ICT PSP Call 7 Pilot B SDI4Apps 17

3. Partners’ data (added by particular providers of tourist industry, it includes new offers, news or improvements of services).4. Free and open-source local and regional data (published mainly by local administration, local nonprofit organizations, living

labs, local action groups etc.).5. Crowd-sourced data and Volunteered Geographic Information (including products such as OpenStreetMap, Wikipedia).6. Social media (comments, recommendations and opinions not only from common social media




Usage of spatial information in basic and secondary education is till now only on very limited levels. Some projects from last year like Czech regional project GeoHra (GeoGame) and they application to education on Czech schools (mainly Gymnazi-um Nad Kavalirkou) and experience of Secondary schools Gymnazium Bozeny Nemcove from the Naturnet Redime project demonstrate usability and also advantage of use of spatial information in basis and secondary education, but also potential contribution of young generation to collecting environmental information.

PILOT Open INSPIRE4Youth will be focused on creation of electronic version of Regional Atlas of environment.

Components of eATLAS Web App • Thematic maps and additional information (tables, graphs, charts…) • Thematic maps created by simple tools by users:

• By using own data collected throw Mobile Apps • From simple shared tables - the first this type maps are done from the Hackathon!

Mobile App• App will use geolocation to visualize actual data related to Environment in users current area.• Will be used for data collecting (at the beginning: outdoor signs on walking trails and signs with a labels and infor-

mation on protected areas, mapping health condition and collecting photographs of alleys)• Mobile app will be made available for phones with Android operating system - in Google Store.

Games – Geogame• Gamefication: Gamification is the use of game thinking and game mechanics in non-game contexts to engage users

in solving problems.• Atlas will be focused on presenting entertaining and appealing way of submission facts. To achieve this we will use

gamification elements such as virtual badges, achievements, ladders, chat, comments etc. This assumes advanced user profile management.

• HTML5 games will be part of our Atlas. They will increase the attractivity of statistical values and help to knowledge gaining about region (or nation or Europe) in educational way.

• Geogame Redesign old version of geogame, responsive web design.Possibility to operate it at smart phones.




PILOT 6ECOSYSTEM SERVICES EVALUATION Leader: Slovak Environment Agency - SAŽPContact person: Ing. Martin Tuchyňa, [email protected]

OVERVIEW:

Ecosystem services (ESS) are the direct and indirect contributions of ecosystems to human well-being. We can distinguish between provisioning, regulating, supporting and cultural services provided by ecosystems20. The pilot will be focused on the identification of spatial representation of the outcomes of ESS Evaluation with focus on sustainable support of tourism.In order to further compare the spatial interpretation of the ESS Evaluation outcomes from various areas on national and inter-national level pilot web application is foreseen utilising the outcomes of Open API adopted by the project.

Ecosystem services intro • EcoSystem Services (ESS): are the direct and indirect contributions of ecosystems to human well-being.• Background: Action 5 of the EU Biodiversity Strategy to 2020 calls Member States to map and assess the state of ecosystems and

their services in their national territory with the assistance of the European Commission• Various classifications

Initial steps: 1) Selection of EcoSystem Services (ESS)2) Defining the methodology for data processing

Ad1) Selection of ESS• ESS selection was based on: Available data sources Requirement to present ESS diversity Pilot scope • Selected ESS: I. WOOD (PAPER PULP) PRODUCTION II. NUMBER OF LIVESTOCK PER HECTARE OF PASTURE III. CARBON SEQUESTRATION BASED ON LAND TYPES IV. LANDSCAPE QUALITY FROM TOURISM PERSPECTIVE V. BIODIVERSITY VI. OVERAL ASSESMENT OF ECOSYSTEM SERVICES

Ad2) Defining the Methodology - ESS process model • ESS Layers Types:• Basic layers: Basic layers express volume of the benefits provided by a given ecosystem service in physical units as they were evalu-

ated. E.g. m3 of wood (paper pulp) or m3 of carbon in the layer of carbon sequestration in different types of landscape.• Normalised layers: Normalized layers are created based on the basic layers of evaluated ESS by the values in the individual layers have

been transformed (normalized) to the range between 0-1. Such normalizing by very simple method allows qualitatively compare and merge different layers




DATA IDENTIFICATION

• Corine landcover 2006• Administrative (district) units• Livestock information• Protected areas• Occurence of protected species• Areas suitable for turism• Underlying layers:• Open street map• World borders

Direct access: Geoserver Layer Preview

Initial SK Pilot app http://skpilot-viewer.virt.ics.muni.cz/ol3/eng/




Documents

FULL TITLE: UPTAKE OF OPEN GEOGRAPHIC INFORMATION …€¦ · Open Smart Tourist Data Leader: University of West Bohemia Contact person: Dr. Otakar Čerba, [email protected] OVERVIEW: