The Electronic
Geophysical Year
GFZ Representative Report
Bernd Ritschel, GFZ ISDC* Manager
rit@gfz-potsdam.de
*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:
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Global Earth gravity field (models)
Global Earth magnetic field (models)
Atmospheric/Ionospheric sounding (GPS occultations)
Monitoring surface heights (GPS altimetry experiment)
Combination Gravity Field Model
EIGEN-CG01C (CHAMP-GRACE-TERR.)
Magnitude of non-dipolar field
Double difference geometry of GPS
limb sounding with CHAMP
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 ocean
current
changes
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
The three SAR (Synthetic Aperture Radar) modes:
Spotlight, Stripmap and ScanSAR.
TerraSAR-x StripMap
product, 30 x 55
kilometres, as an
example of EEC
projection.
It shows the Upsala
Glacier in Patagonia.
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
TanDEM-X and TerraSAR-X in formation flight
Source: ESA
This elevation model shows different accuracies:
1 kilometre, 90 metres, 30 metres and 12 metres (TanDEM-X).
CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010
SWARM Satellit Project
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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
The Earth's magnetic field
is mainly produced by a
self-sustaining dynamo
in the fluid outer-core
Swarm constellation of three satellites
Dynamics of the Earth generating
the Gravity and Magnetic Field
CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010
MicroGEM Satellite Project
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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
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Partners: DLR, GFZ, ...
Status: Phase 0
Lifetime: 2015 – 2020
Main Objective: Gravity field monitoring
• GRACE Follow-on
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Partners: NASE, CSR Texas, GFZ
Status: Concept
Lifetime: 2020 –
Main Objective: Gravity field/water storage monitoring
CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010
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
• 30 SG stations around the globe
• Basis for WDCC for Earth Tides
*Superconducting Gravimeter
GFZ ISDC* Portal Homepage: http://isdc.gfz-potsdam.de
GGP Superconducting Gravimeter Station Network
*Information System and Data Center
The 2007 International Geohazards Week, Frascati, Italy, 5-9 November 2007
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
CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010
Georesearch Challenges and Semantic Relations
Semantic relations
Science domain
related concepts
Workflows & vocabularies
Semantic relations
Culture of scientific work
Technical driven
concepts & metadata
producing
Research object
exponential
growing volume
of data and information
Complex Systems
2
1http://www.emc.com/collateral/analyst-reports/diverse-exploding-digital-universe.pdf
2http://www.geosc.psu.edu/~dbice/DaveSTELLA/climate/climate%20system.png
1
Geoscience Objectives
and 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 and
Detecting 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
ISDC Ontology Class Model
Controlled Vocabulary*
Free Vocabulary
Project
Platform
Institution
Instrument
c
Science Domain
Product Type
*http://gcmd.gsfc.nasa.gov/Resources/valids/archives/keyword_list.html
ISDC Concept Map
Metadata Class Ontology
*Concept Map
http://de.eyeplorer.com/show/me/climate
eyePlorer Concept
Primary results
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Central concept
Associates
Associate Ranking
Relations
Categories (Domain)
Search term(s)
eyeSpots
Diameter of eyeSpots
Lines between eyeSpots
Coloured circle segments
• Facts (from CMS) Text, Pictures, …
Secondary results
• Sources
Repository Selection
eyePlorer Architecture for Primary Results
Picture taken from VIONTO presentation
eyePlorer Architecture for Secundary Results
(Facts)
Picture taken from VIONTO presentation
ISDC/eyePlorer
Categories Relationships
ISDC/eyePlorer[Wiki]
Definition Relationships
ISDC/eyePlorer[Wiki]
Keywords and Relations Relationships
ISDC eyePlorer
mock-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
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
CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010
Einsteinturm (1921)
Thank you, Questions?
CEOS Working Group on Information Systems and Services, WGISS-24, Oberpfaffenhofen, Oct. 15 - 19, 2007
http://www.gitews.org
CEOS Working Group on Information Systems and Services, WGISS-24, Oberpfaffenhofen, Oct. 15 - 19, 2007
Semantic-based
Use 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
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)
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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
CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010
POD:GNSS
Topside Ionosphere
Tomograhy
Initial scientific satellite based
use of Galileo for
Earth observation
MicroGEM (Phase A)
POD: SLR
POD: VLBI
Occultation
Atmosphere/Ionosphere
Reflectometry
Ocean/Ice
with Galileo
with GPS
Combination
with ground GNSS
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)
CEOS Working Group on Information Systems and Services, WGISS-29, Bonn, May 17 - 21, 2010