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National Environmental Research Institute, University of Aarhus, Denmark
GIS Guidance for WISE
Update of the existing WFD guidance document no. 9 "Implementing the Geographical Information System Elements (GIS) of the Water Framework Directive"
National Environmental Research Institute, University of Aarhus, Denmark
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Outline
• Since last meeting• Time plan • Overview of chapters – gaps– questions / issues
National Environmental Research Institute, University of Aarhus, Denmark
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Since Madrid
• Included comments from MS and WISE TG• Overall review identifying gaps and
weaknesses in current status
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Time plan
• 12 Sept all chapters ready and compiled into 1 document
• 19 Sept – 17 Oct review by WG D• 24 Oct – 14 Nov updated document circulated
to SCG review (SCG meeting 5-6 Nov 2008)• 28 Nov final draft to Water Directors
National Environmental Research Institute, University of Aarhus, Denmark
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Time plan
12 Sept a challenge requiring:• fast agreements on drafting• Input from a wider group than consortium • Contributions and review of Guidance by
WISE TG most welcome / needed !
National Environmental Research Institute, University of Aarhus, Denmark
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Table of Contents 1/4
1- Introduction– Purpose of guidance– development of WISE via implementing WFD and other EU
water sector legislation– Terminology and abbreviations
CONCEPTUAL2 - GIS in WISE: developing common understanding
– Scope of GIS guidance and purpose of GIS in WISE– GIS requirements under WISE for:
• WFD and other EU water policy legislation (UWWTD, BWD, NiD, DWD, floods, priority substances, marine, etc)
• SoE• other
National Environmental Research Institute, University of Aarhus, Denmark
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Table of Contents 2/4
3 - Definition of derived products (maps)– Types of WISE GIS datasets– Background visualisation for WISE viewer– Policy implementation visualisation– Compliance assessments visualisation– State of the Environment visualisation
4 - Principles of WISE compatibility and WISE interoperability– What is WISE-compatible?– Update of existing datasets– Creation of new datasets– Management of identifiers and codes
National Environmental Research Institute, University of Aarhus, Denmark
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Table of Contents 3/4
5 - Technical descriptions– General approach for definition of datasets– Overview of GIS layers and their relationship– Data model definition– Hydrological Feature coding– Metadata implementation– Standards for data exchange– Web services
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Table of Contents 4/4
6 - Harmonisation– Validation and harmonisation of geometry, data
definitions, data models, naming– Production of WISE reference GIS dataset.– Reference units for visualisation: rules,
definition, process
7 - Co-ordination and organisation– Involved organisations– Working procedures
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Appendices
• Appendix 1 Elements of the WFD relevant to GIS• Appendix 2 Technical specification of the update process• Appendix 3 WISE spatial data policy• Appendix 4 New data sets – 3rd party products and compilation of data from 3rd party products
• Appendix 5 Table of GIS datasets and layers in WISE• Appendix 6 Data dictionary• Appendix 7 Proposal for a European coding system for hydrological features• Appendix 8 Implementation of the hydrological feature coding by MS• Appendix 9 Vertical linkage of hydrological features (CCM2 – MS)• Appendix 10 Transfer of CCM2 Pfaffstetter Codes to hydrological features (a model)
• Appendix 11 Code-lists• Appendix 12 Detailed specifications for metadata• Appendix 13 Details of GML specification and recommendations on the application• Appendix 14 Detailed specification of validation and harmonisation procedures• Appendix 15 Technical specifications of WISE reference GIS datasets• (New) Appendix 16 Common metadata elements for WISE specifications• (New) Appendix 17 Template or example of short GIS guidance to a specific reporting• (New) Appendix 18 Explanations end examples regarding ID management
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Priority chapters
3.1 Reference datasets (maps)4.1 What is WISE compatible?4.2 Update of existing datasets4.3 Creation of new datasets5.1 General approach for definition of datasets5.2 Overview of GIS layers and their relationships5.3 Data model definition5.4 Feature coding5.4.1 General principles5.4.2 Implementation of coding of surface waters5.5 Metadata implementation
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Challenges
• INSPIRE IR and Best practice is not yet ready– Technical specification details are missing – Technical tools have not yet been developed
• Previously developed specifications do not necessarily comply with INSPIRE recommendations
• Specifications are continuously being added and adjusted
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Gaps – Ch 2.3 GIS requirements under WISE
• Is level of detail correct:– Policy area, e.g. WFD– Product type, e.g. Management units– Data product name, e.g. River Basin Districts– Geometry type, e.g. polygon– Reported by MS, e.g. 2006
• Acceptable with overlap to chp 5.2 ?• Should layers beyond MS reported data be
mentioned?
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3.1 Types of WISE GIS datasets
• Modified title• Rename “Other GIS datasets” to “Other MS
reported GIS datasets”• Move sec. 3.1.3 > 6.2• Should “River Basins” be defined as WISE
Reference GIS dataset ?
National Environmental Research Institute, University of Aarhus, Denmark
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Ch. 3.2 – 3.5 Visualisations
Wishes for promoted examples:• Background visualisation EEA• Policy implementation – ENV• Compliance assessment – ENV• State of the Environment – EEA• Wise as a SEIS node
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5.1 General approach for definition of datasets
Gap:• Recommendation on handling of multilingual
aspects:– Character sets applied– Local names in local character set– Local names ASCII– English name
• Input from TW-Hydro; Miroslav
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5.2 Overview of GIS layers
• Update to INSPIRE terminology• Missing relationship overview, e.g. fig. in
5.3.5
National Environmental Research Institute, University of Aarhus, Denmark
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5.3 Data model
Gaps:• %description of relation to Application schema%• %Guidance on transfer from current data models to
INSPIRE application schemas%• Short intro to UML notation (subclass, associations,
class name, attributes, (constraints)• Description of difference btw. hydrological and non-
hydrological classes (Management units ?) • Reference to reporting XML schemas (in namespace
[wise.europa.eu]
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5.3 Data model
• Should WISE conceptual model :– Input on its establishment / maintenance
National Environmental Research Institute, University of Aarhus, Denmark
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5.5 Metadata
• Refocus stronger towards INSPIRE• Use-case related to update / interrelated data sets:
– An example from Member State A :– uploads at time M WFD art. 3 data on River Basin Districts– uploads at time N WFD art. 5 data on water bodys related to
River basin District from time M– WISE prepare a Reference version of RBD's and WB's– A revise and upload River Basin Structure at time O– uploads at time P WFD art. 8 data on Monitoring Stations
related to RBD's and WB's at time O
– How does the Member State in the metadata declare the relationship between art. 8 data and the updated versions of art. 3 and 5. ?
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5.5 Metadata
• Include in metadata profile option for specifying “Data product specification” e.g. by reference to a namespace [wise.europa.eu/schemas] with versions of application schemas
• Who and how are metadata maintained• Generating metadata to already delivered
data • Metadata for discovery, keywords - Glossary
National Environmental Research Institute, University of Aarhus, Denmark
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Metadata
• ? New appendix with proposals for preferred values for metadata elements to ensure consistent application
• ? New appendix with template for short GIS specifications, GW , BW etc.
National Environmental Research Institute, University of Aarhus, Denmark
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5.6 Standards for data exchange
Gaps:• Short overview of GML profile• Specific recommendations on GML profile,
see questions in current chapter text• ? Appendix 13 Details of GML specification
and recommendations on the application
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5.7 Web services
Gap:• Overview of which services are provided by
which actors• What will WISE portal implement• Tagging WSO with WSDL ?• Examples of service profiles• How to handle MS data services outside
primary WISE data specifications ?
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6.1 Validation and harmonisation
Gap:• Overview diagram of entire process:– MS harmonisation to WISE specs– Validation of MS submission– EU harmonisation of submitted data
• Adding attributes / values for management purposes• Additional geometric harmonisation• EU level codes if missing• Production / update of WISE reference GIS datasets
– Production of other generalised products
National Environmental Research Institute, University of Aarhus, Denmark
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6.1 Validation and harmonisation
• Are specific validations steps needed in relation to update of datasets ?
• Naming convention of files to include date?
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6.2 Production of WISE reference GIS datasets
• ? Current ch 3.1.3 sufficient• The dissemination of the reference datasets:– only electronic communication, (download and
web-services)
– Be clear on scale/accuracy of product according to the reporting sheets
National Environmental Research Institute, University of Aarhus, Denmark
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6.3 Reference units for harmonisation
• New primary author UBA
National Environmental Research Institute, University of Aarhus, Denmark
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Appendix 5 Table of GIS datasets and layers in WISE
• EEA - Should “Background layers” and “External data sets” be cut out of appendix ?
• Update / inclusion of dataspecs from other Water directives !
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Appendix 6 Data dictionary
Gaps:• WISE reference GIS dataset• Background layers• External datasets
Is an update necessary as an outcome of “4.2 update of datasets” and “4.4 Management of identifiers and codes” ?