CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010

GFZ Representative Report

Bernd Ritschel, GFZ ISDC* Manager

rit@gfz-potsdam.de

The ElectronicGeophysical Year

*Information System and Data Center

CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010

CHAMP Satellite Project

• Partners: GFZ, DLR, NASA, CNES• Lifetime: 04/2000 – 09/2010• Main objectives:

– Global Earth gravity field (models)– Global Earth magnetic field (models)– Atmospheric/Ionospheric sounding (GPS occultations) – Monitoring surface heights (GPS altimetry experiment)

Double difference geometry of GPSlimb sounding with CHAMP

Combination Gravity Field ModelEIGEN-CG01C (CHAMP-GRACE-TERR.) Magnitude of non-dipolar field

CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010

GRACE Satellite Project

• Partners: GFZ, DLR, NASA, CSR

• Lifetime: 03/2004 – 2014• Main objectives:

– Global Earth gravity field (constant/time variable)

– Occultation atmosphere/ionosphere

– Deep oceancurrentchanges

GRACE Gravity Field Model Earth mass distributions

CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010

TerraSAR-X Satellite Project

• Partners: GFZ, DLR, Industry• Lifetime: 07/2007 – 2012• Main objective:

– X-band radar based SAR(Synthetic Aperture Radar)interferometry images

Source: ESA

TerraSAR-x StripMap product, 30 x 55 kilometres, as an example of EEC projection. It shows the Upsala Glacier in Patagonia.

The three SAR (Synthetic Aperture Radar) modes:Spotlight, Stripmap and ScanSAR.

CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010

Tandem-X Satellite Project

• Partners: GFZ, DLR, Industry• Lifetime: 06/2010 – 2015• Main objectives

– X-band radar based SAR(Synthetic Aperture Radar)interferometry images

– Digital Earth elevation model(high accurate 12 x 12 x 2m)

– Velocity measurements

This elevation model shows different accuracies: 1 kilometre, 90 metres, 30 metres and 12 metres (TanDEM-X).

Source: ESA

TanDEM-X and TerraSAR-X in formation flight

CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010

SWARM Satellit Project

• Partners: GFZ, ESA, DLR• Status: Phase D• Lifetime: 2012 – 2016• Main objectives:

– Global Earth magnetic field (model)– 3D Earth crust conductivity– Electric currents in ionosphere

Dynamics of the Earth generating the Gravity and Magnetic Field

Swarm constellation of three satellites

The Earth's magnetic fieldis mainly produced by aself-sustaining dynamoin the fluid outer-core

CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010

MicroGEM Satellite Project

• Partner: GFZ, TU Berlin, Industry• Status: Phase A• Lifetime: ?• Main objectives:

– Occultation atmosphere/ionosphere ([Space] Weather)– Topside ionosphere tomography– Reflectometry ocean/ice

with GALILEO/GPS– POD with VLBI (for the first time)

SLR and GNSS

CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010

Planned Satellite Projects

• GRACE “Filler” Mission– Partners: DLR, GFZ, ...– Status: Phase 0– Lifetime: 2015 – 2020– Main Objective: Gravity field monitoring

• GRACE Follow-on– Partners: NASE, CSR Texas, GFZ– Status: Concept– Lifetime: 2020 – – Main Objective: Gravity field/water storage monitoring

Global Geodetic Project (GGP)

IAG Inter-Commission Project IC-P3.1 Joint with Commission 2 - The Gravity Field, &

Commission 3 - Earth Rotation and Geodynamics

Research areas:• Gravity field variations• Environmental

influences• local/global Hydrology

GGP SG* Station Network

*Superconducting Gravimeter• 30 SG stations around the globe• Basis for WDCC for Earth Tides

The 2007 International Geohazards Week, Frascati, Italy, 5-9 November 2007

GFZ ISDC* Portal Homepage: http://isdc.gfz-potsdam.de

*Information System and Data Center

GGP Superconducting Gravimeter Station Network

CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010

ISDC Data and Users

• 289 product types from different geoscience domains– 113 product types for public use– 4 product types with

grants for science teams– 180 internal product types

• 14,38 Terra Byte of data• 23,65 Million products• 5.000 files/day data flow

• < 2390 national and international users and user groups

• 19 data provider (scientific groups) GFZ+Unis+JPL+UCAR

Georesearch Challenges and Semantic Relations

1http://www.emc.com/collateral/analyst-reports/diverse-exploding-digital-universe.pdf2http://www.geosc.psu.edu/~dbice/DaveSTELLA/climate/climate%20system.png

2

Culture of scientific work

Complex Systems

exponential growing volume

of data and information

Research object producing

1

Technical drivenconcepts & metadata

Science domainrelated concepts

Workflows & vocabularies Semantic relationsSemantic relations

Geoscience Objectivesand Semantic Web Idea

• Modeling the world of geoscience knowledge generation

• Integration of multi-domain data and information for the research of complex geo-systems

• Discovery, retrieval, reuse and share of data, information and knowledge

• Combining and aligning of data and information using controlled vocabularies and inference based rules

• Putting the content of data and information in to the appropriate inner and outer context, incl. literature (DOI)

• Integration of user generated context information and knowledge using Web 2.0 technology

• Visualization of knowledge concepts and semantic relations

Requirements for Modeling andDetecting of Semantic Coherence

• Describe the content and context of data in the right way => (standardized) metadata

• Design the metadata in the right structure => concept map/RDF-triples/ontology model

• Find/use the right terms for addressing the properties of data/metadata => controlled vocabulary

• Open/adopt the ontology for the chance of data and metadata interoperability => merging/alignment of domain-centered ontologies

Visualization of Semantic Relations

• Tool for modeling and representation of concepts/ontolgies– Detect entities and features– Find relations between entities– Estimate properties of relations

• Support for interactive retrieval applications– User guidance => navigation and exploration– Interactive presentation of content and context related

features and relations• Tool for representation of retrieval/reasoning results

(knowledge)– Presentation of highly complex correlations– Reduction of information overload– Supply of visual links to related extended information

DIF Metadata Classes

• Data Product Type = „Parent DIF Document“, Version 9.x

=> FGDC/OGC/ISO 19115 compliant (incomplete)• Instrument (Sensor) = Instrument DIF => OGC SWE• Platform (Source) = Platform DIF => OGC SWE• Project (Campaign, Mission) = Project DIF• Data Center = Data Center DIF

• Institution*

*in addition to GCMD

c

ISDC Ontology Class Model

Project

Platform Instrument Science Domain

Product Type

Controlled Vocabulary* Free Vocabulary

*http://gcmd.gsfc.nasa.gov/Resources/valids/archives/keyword_list.html

Institution

ISDC Concept MapMetadata Class Ontology

*Concept Map

http://de.eyeplorer.com/show/me/climate

eyePlorer Concept

• Central concept Search term(s)• Associates eyeSpots• Associate Ranking Diameter of eyeSpots• Relations Lines between eyeSpots• Categories (Domain) Coloured circle segments

• Facts (from CMS) Text, Pictures, …

• Sources Repository Selection

Primary results

Secondary results

eyePlorer Architecture for Primary Results

Picture taken from VIONTO presentation

eyePlorer Architecture for Secundary Results (Facts)

Picture taken from VIONTO presentation

ISDC/eyePlorerCategories Relationships

ISDC/eyePlorer[Wiki]Definition Relationships

ISDC/eyePlorer[Wiki]Keywords and Relations Relationships

ISDC eyePlorermock-up: Climate

Conclusions and Further Tasks

• Visualization of ontologies is a suitable approach for knowledge representation and management

• We have a preliminary ISDC ontology model• There are detailed ideas/use cases for semantic- based

ISDC retrieval application similar to eyePlorer

• Finishing the ISDC ontology modelling process• Finding/filling the semantic gaps, both features/ properties

and appropriate values • Ontology alignment/merching (very difficult cognitive task),

e.g. DC, FOAF, SWEET, …• Transforming XML metadata files and rules into OWL and

SWRL files according to the ontology model

CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010

Challenges (from WGISS 24)

• Sustainable funding of human, technology and technical resources for operational data and information services

• Developing/Using of a philosophy for sustainable data and information management at the GFZ

• Providing a high available (long-term) archive and services for data, information and knowledge

• Education campaign for scientists related to ESSI1

• ESSI1 must become important research domain within German geoscience work, like in many EU countries, Japan and U.S.

1 Earth and Space Science Informatics

Einsteinturm (1921)

Thank you, Questions?

CEOS Working Group on Information Systems and Services, WGISS-24, Oberpfaffenhofen, Oct. 15 - 19, 2007

CEOS Working Group on Information Systems and Services, WGISS-24, Oberpfaffenhofen, Oct. 15 - 19, 2007

http://www.gitews.org

Semantic-basedUse Cases for GGP

- Fuzzy Logic is Focus of Use Cases-

• Show all SG stations which are in operation and delivering calibrated gravity data and additional trustful environmental data in a certain time and space frame

• Give all earthquake SG data for stations which also have collocated or nearby located permanent GPS observations

• Show all geoscientific projects which use GGP data and information for the validation of global gravity field models as well as other global geophysical models

• Connect GGP gravity data with relevant and free available Web information (Web pages, literature, catalogs …)

• Network and visualize user generated context (tagging, blogs, mashups, social navigation data) with GGP data

Usage and Benefit of Semantic Relations

• Integration of different domain-related data and information to answer domain-specific questions

• Re-usage and combination of (tailored) domain-specific data and information for inter-domain complex questions

• Considering and benefit from different cultures and workflows of research approaches

• Connection of data and related science publications• Combination of knowledge of data providers (concept and

controlled vocabularies) and data users (folksonomies)• Bridge from hardcore science results to open societal

knowledge

CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010

ISDC and GFZ

• ISDC is even smaller group now, only 2 persons with support from System and DB administrator

• New head of the Geodesy and Remote Sensing department (coming from university)

• New director of the GFZ (coming from a technical university)– Interested in more transparency– Common data policy within the GFZ– New mechanism for funding of IT infrastructure– Improvement of long-term archive facilities– … but new requirements are coming from everybody

MicroGEM (Phase A)

Initial scientific satellite based use of Galileo for Earth observation

POD:GNSSTopside IonosphereTomograhy

OccultationAtmosphere/Ionosphere

ReflectometryOcean/Ice

with Galileowith GPS

POD: VLBI

POD: SLR

Combinationwith ground GNSS

CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010

Projects related to WGISS

• remote– CHAMP (multi-domain mission)– GRACE (multi-domain mission)– GPS-PDR (geodesy)– GASP (GPS) (atmosphere/ionosphere)– TerraSAR-X (multi-domain mission)– GGSP (Galileo?)

• in-situ– GGP (gravity data)