INSPIRE IN POCKET

Is it possible to Integrate Smartphone’s and Tablets with INSPIRE infrastructure?

Help Service - Remote Sensing

Štěpán Kafka, Karel Charvát

From Habitats towards INSPIRE in Pocket

• The HABITATS project focused on the adoption of INSPIRE standards through a participatory process to design and validate environmental geo-spatial data, metadata, and service specifications with European citizens and businesses.

Habitats Data and Metadata Modeling

• Define data and metadata models for the following INSPIRE data themes: – 16. Sea regions

– 17. Bio-geographical regions

– 18. Habitats and Biotopes

– 19. Species distribution

• The results should be in compliance with INSPIRE directive and possible INSPIRE data models.

HABITATS benefits from participation in INSPIRE TWG

Habitats project conceptual data model was prepared short period before INSPIRE TWG was established

All HABITATS activities related to INSPIRE data themes after establishment of TWG was reported in TWG

Feedback from TWG decisions guaranteed complete harmonization of HABITATS conceptual data models with INSPIRE corresponding Annexes

Data usage use cases

• Regional data are used regionally

• Global data are used regionally

• Regional data are used cross-regionally (here works INSPIRE)

• Regional data are used globally (here works INSPIRE)

• Global data are used globally (here works INSPIRE)

Regional data used regionally

• There is not direct requirement for INSPIRE data models – Local data models could be wider

– Local data models reflect regional needs and also regional decision processes

– If data are not shared outside of region (but in many cases it is necessary), in principle global standards are not needed

– Standards are needed in case of more data suppliers, to guarantee data consistence

Global data used regionally

Global data are in some content something like de facto standards

In some cases it is necessary to be possible transform data into such models, which is required by regional decision processes

The global model has to cover regional decision needs (GMES case for example)

Open problems:

the transformation happens either on fly or as pretransformed data snapshot

Language problem in the case 'on fly'

Regional data used cross regionally

In the case of cross border regions data harmonization faces extreme challenges.

In many cases, for example tourism, we need to deal simultaneously with several INSPIRE related data themes. This is much more complex task than single data theme case.

In some applications data model could be broader than corresponding INSPIRE definition.

Open problem – how to manage multi lingual problems

Regional data used globally

• Probably most relevant case for INSPIRE data model

• The idea is to combine several local data sets into single standardized data set

• The regional data has to be transformed (in many cases simplified) into global data model

• Relevant cases are tourism, transport, education, research, environment protection, risk management, strategic decision

• Language problem

Global data used globally

• Global data are either standard or de facto standard.

• It is expected that in the case of public sector data INSPIRE compliance will be guaranteed.

• Concrete application areas may require specific transformation. Transformation could be based on Feature Encoding or Styled Layer Descriptor (SLD)

Basic transformations

Basic script for automated data merge of data maintained as multiple files

Basic data merge of data maintained in multiple file

structure using free and opensource desktop

application

Two solutions for data merging

Basic transformations

Basic SQL script for geometry extraction from multigeometry, further can be used as one setep in larger data transformation process

Basic geometry extraction from multigeometry using free and opensource desktop application

Two solutions for data extracting

Advanced transformations

Data Specifications 2.0

Habitats and biotopes

Harmonization

FMI Data

Advanced transformation – scheme (1)

Open SHP file and its scheme

Save final SHP file

Reclassification FMI → EUNIS

New data model

New data model (1) Existing FMI data model + referenceHabitatTypeId: CharacterString referenceHabitatTypeScheme: ReferenceHabitatTypeSchemeValue localSchemeURI: URI localNameValue: CharacterString

geometry: polygon referenceHabitatTypeId: eunis_value referenceHabitatTypeScheme: eunis localSchemeURI: link_to_FMI_classification localNameValue: FMI_classification_value

Data model mapping (1)

Taxonomy – reclassification (FMI → EUNIS) (1)

0 Pine → G3.42,"4","Middle European [Pinus sylvestris] forests"

1 Oak → G1.87,"4","Medio-European acidophilous [Quercus] forests"

2 Beech-oak → G1.82,"4","Atlantic acidophilous [Fagus] - [Quercus] forests"

3 Oak-beech → G1.82,"4","Atlantic acidophilous [Fagus] - [Quercus] forests"

4 Beech → G1.6,"3","[Fagus] woodland"

5 Fir-beech → G4.6,"3","Mixed [Abies] - [Picea] - [Fagus] woodland"

6 Spruce-beech → G4.6,"3","Mixed [Abies] - [Picea] - [Fagus] woodland"

7 Beech-spruce → G4.6,"3","Mixed [Abies] - [Picea] - [Fagus] woodland"

8 Spruce → G3.1D,"4","Hercynian subalpine [Picea] forests"

9 Dwarp pine → F2.45,"4","Hercynian [Pinus mugo] scrub"

Reclassification (1)

FMI Data

INSPIRE / Habitats Data

Advanced transformation (2)

CQL filter

Advanced transformation (3) Ontology

Description

Nomenclatures

Derived transformation

rules

Description in ontology (3)

Reference Laboratory

• The HABITATS Reference Laboratory is a central hub with the support of global data, but also supporting cross scenarios implementations, and the HABITATS pilot applications, as implementations of single HABITATS pilot cases, which will also be used for testing the sharing of local data and metadata.

Reference of RL to Pilots

RL Architecture

RL advanced principles

• RL include all basic Geoportal Functionality, but

– Support work with Maps not only with services

– Extending of INSPIRE services – usage of KML

– Include already possibilities for Open Linked Data

– Embeded functionality

RL approach

RL approach

RL Approach

WordPress GeoBlog

IDEAS

• INSPIRE is not commonly known • Heavy formats (GML) • For government …

• INSPIRE data may be widely used • Portal is not everything • Need to have bridge (apps) making it accessible • Social apps may contribute INSPIRE ! • Mobile technologies may help to disseminate

SOAP, CSW, WFS, GML …

JSON, KML, …

OFF-LINE / ON-LINE use

Special apps rather than „portal“

INSPIRE infrastructure

View services

Definujte vlastní zkratky!

CADASTER PARCELS

Definujte vlastní zkratky!

KML resources

FIELD Editing

Batch post

ADAPTOR

WMS / WFS /KML /

Thanks for attention

Karel Charvat

charvat@hsrs.cz