SlideShare a Scribd company logo
1 of 26
New ways to share and visualizemarine geophysical data 4th GEBCO Science Day BREST 29th, September 2009 – Philippe ALAIN
Introduction A growing number of organizations, universities, port authorities, survey companies, etc. are looking for new tools to visualize and share marine geophysical data. While the interest of a final paper or digital report is still of great importance, the ability to compare and merge multiple data sources and dig into the data is now available to anyone. Most geophysical packages are use proprietary formats and dedicated viewers. It results in long conversion times to standard GIS formats. DELPH software is built on modern GIS standards, removing conversion bottlenecks and easing geophysical data sharing.
Side-Scan Sonar Data DELPH Sonar Acquisition DELPH SonarINterpretation
Side-Scan Sonar Data Flow Side-Scan sonars commonly deliver digital raw data that is stored in industry standard XTF format. Signal processing and mosaicking lead to backscatter maps – mosaics - for use in GIS applications.
Side-Scan Sonar Data – Interpretation results Profile annotation and feature contouring in DELPH save synthetic information to KML or ShapeFile Layers. Benefits: Synthetic and Lightweight interpretation results
Side-Scan Sonar Data – Interpretation results PDF Printing drivers can be used to create documents at a desired size (A4, A3, A0) and at a desired resolution (300, 600 dpi) to share sonar data at an optimal resolution. Benefits: Interpreted profiles with sonar imagery can be shared in a lightweight standard format.
Side-Scan Sonar Data – Targets Side-Scan Sonar targets are created in geoTIFF file format that can easily be used in any GIS or picture viewer HTML export can help to constitute a repository of contact information XML, CSV, ASCII reports help data integration in third party systems ASCII XML HTML CSV
Side-Scan Sonar Data – Mosaic ,[object Object]
Data tilingalso speeds the data access, allowing « level of details » optimisations in common GIS systems.
Using data tilesavoids the limit in file size regardless of the format.
Mosaicscanalsobesaved to a single geoTIFF file whenneeded
All tilescanbeexported to the KMZ format (reprojection to WGS84, conversion to PNG tileswith no-data masking) to beshared and displayed in GoogleOcean.,[object Object]
Side-Scan Sonar Data – Mosaic http://delph.ixsea.com
Side-Scan Sonar Data – Mosaic http://delph.ixsea.com
Magnetometer Data DELPH MAG LOCATOR
Magnetometer Data Flow
Magnetometer Data - Maps ,[object Object]
DELPH uses ESRI ArcGIS components to represent spatial data in a 3D environment including the magnetic map and the magnetic anomaly vector which one is a XYZ ShapeFile
Standard GIS formats can be used as background information (geoTIFF, ShapeFile, DXF).
Additional datasets can be added to the geographic view (sub-bottom interpretation, side-scan mosaics …),[object Object]
DELPH uses ESRI ArcGIS components to represent spatial data in a 3D environmentincluding the magneticmap and the magneticanomalyvectorwhich one is a XYZ ShapeFile
Standard GIS formats canbeused as background information (geoTIFF, ShapeFile, DXF).
Additionaldatasetscanbeadded to the geographicview (sub-bottominterpretation, side-scan mosaics …),[object Object]
Magnetometer Data - Maps http://delph.ixsea.com
Magnetometer Data - Maps http://delph.ixsea.com
Sub-Bottom Data DELPH SEISMIC Acquisition DELPH SEISMICINterpretation

More Related Content

What's hot

Implementation of a geographic information systems (GIS)-based system to eval...
Implementation of a geographic information systems (GIS)-based system to eval...Implementation of a geographic information systems (GIS)-based system to eval...
Implementation of a geographic information systems (GIS)-based system to eval...
Chad Cooper
 
Innova Presentation Gb01 02 10
Innova Presentation Gb01 02 10Innova Presentation Gb01 02 10
Innova Presentation Gb01 02 10
Andrea Di Pasquale
 
Mars multimode-airborne-radar-simulator
Mars multimode-airborne-radar-simulatorMars multimode-airborne-radar-simulator
Mars multimode-airborne-radar-simulator
Leonardo
 
Mm6 Vs Juno Wp En June 2009
Mm6 Vs Juno Wp En June 2009Mm6 Vs Juno Wp En June 2009
Mm6 Vs Juno Wp En June 2009
guesta2a0eba
 

What's hot (12)

Nov92GISworld
Nov92GISworldNov92GISworld
Nov92GISworld
 
Implementation of a geographic information systems (GIS)-based system to eval...
Implementation of a geographic information systems (GIS)-based system to eval...Implementation of a geographic information systems (GIS)-based system to eval...
Implementation of a geographic information systems (GIS)-based system to eval...
 
FME and the Chicago Region Environmental and Transportation Efficiency Program
FME and the Chicago Region Environmental and Transportation Efficiency ProgramFME and the Chicago Region Environmental and Transportation Efficiency Program
FME and the Chicago Region Environmental and Transportation Efficiency Program
 
Innova Presentation Gb01 02 10
Innova Presentation Gb01 02 10Innova Presentation Gb01 02 10
Innova Presentation Gb01 02 10
 
Spatial OLAP for environmental data: solved and unresolved problems Sandro Bi...
Spatial OLAP for environmental data: solved and unresolved problems Sandro Bi...Spatial OLAP for environmental data: solved and unresolved problems Sandro Bi...
Spatial OLAP for environmental data: solved and unresolved problems Sandro Bi...
 
The GIS for Emergency and Security of Catalonia
The GIS for Emergency and Security of CataloniaThe GIS for Emergency and Security of Catalonia
The GIS for Emergency and Security of Catalonia
 
MPEG 3D graphics compression offer
MPEG 3D graphics compression offerMPEG 3D graphics compression offer
MPEG 3D graphics compression offer
 
Making Good Things Happen at the 2012 Esri DevSummit
Making Good Things Happen at the 2012 Esri DevSummitMaking Good Things Happen at the 2012 Esri DevSummit
Making Good Things Happen at the 2012 Esri DevSummit
 
Mars multimode-airborne-radar-simulator
Mars multimode-airborne-radar-simulatorMars multimode-airborne-radar-simulator
Mars multimode-airborne-radar-simulator
 
TomTom Geospatial for Oracle
TomTom Geospatial for OracleTomTom Geospatial for Oracle
TomTom Geospatial for Oracle
 
Mm6 Vs Juno Wp En June 2009
Mm6 Vs Juno Wp En June 2009Mm6 Vs Juno Wp En June 2009
Mm6 Vs Juno Wp En June 2009
 
Creating HOLOGRAPHIC PHOTOMAPS from SATELLITE IMAGES
Creating HOLOGRAPHIC PHOTOMAPS   from  SATELLITE IMAGESCreating HOLOGRAPHIC PHOTOMAPS   from  SATELLITE IMAGES
Creating HOLOGRAPHIC PHOTOMAPS from SATELLITE IMAGES
 

Similar to GEBCO 09 - DELPH

Web technologies for accessible cartography
Web technologies for accessible cartographyWeb technologies for accessible cartography
Web technologies for accessible cartography
liddy
 
GRASS and OSGeo: a framework for archeology
GRASS and OSGeo: a framework for archeologyGRASS and OSGeo: a framework for archeology
GRASS and OSGeo: a framework for archeology
Markus Neteler
 
Cogent3 d master slides (12 april 2009)
Cogent3 d master slides (12 april 2009)Cogent3 d master slides (12 april 2009)
Cogent3 d master slides (12 april 2009)
Danny Bronson
 
Maps4 finland 28.8.2012, jari reini
Maps4 finland 28.8.2012, jari reiniMaps4 finland 28.8.2012, jari reini
Maps4 finland 28.8.2012, jari reini
Olli Rinne
 
Big data analytics K.Kiruthika II-M.Sc.,Computer Science Bonsecours college f...
Big data analytics K.Kiruthika II-M.Sc.,Computer Science Bonsecours college f...Big data analytics K.Kiruthika II-M.Sc.,Computer Science Bonsecours college f...
Big data analytics K.Kiruthika II-M.Sc.,Computer Science Bonsecours college f...
Kiruthikak14
 
Flood Map Desktop for ArcGIS
Flood Map Desktop for ArcGISFlood Map Desktop for ArcGIS
Flood Map Desktop for ArcGIS
EmilySzajna
 

Similar to GEBCO 09 - DELPH (20)

Open Source GIS Workshop
Open Source GIS WorkshopOpen Source GIS Workshop
Open Source GIS Workshop
 
Field Data Collecting, Processing and Sharing: Using web Service Technologies
Field Data Collecting, Processing and Sharing: Using web Service TechnologiesField Data Collecting, Processing and Sharing: Using web Service Technologies
Field Data Collecting, Processing and Sharing: Using web Service Technologies
 
Intro GIS.pptx
Intro GIS.pptxIntro GIS.pptx
Intro GIS.pptx
 
Web technologies for accessible cartography
Web technologies for accessible cartographyWeb technologies for accessible cartography
Web technologies for accessible cartography
 
FME User Stories from Around the World
FME User Stories from Around the WorldFME User Stories from Around the World
FME User Stories from Around the World
 
GRASS and OSGeo: a framework for archeology
GRASS and OSGeo: a framework for archeologyGRASS and OSGeo: a framework for archeology
GRASS and OSGeo: a framework for archeology
 
SAGA GIS 2.0.7
SAGA GIS 2.0.7SAGA GIS 2.0.7
SAGA GIS 2.0.7
 
Mapping toolbox
Mapping toolboxMapping toolbox
Mapping toolbox
 
Geohosting
GeohostingGeohosting
Geohosting
 
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
 
Super map gis 8c
Super map gis 8cSuper map gis 8c
Super map gis 8c
 
Cogent3 d master slides (12 april 2009)
Cogent3 d master slides (12 april 2009)Cogent3 d master slides (12 april 2009)
Cogent3 d master slides (12 april 2009)
 
Internet-enabled GIS for Planners
Internet-enabled GIS for PlannersInternet-enabled GIS for Planners
Internet-enabled GIS for Planners
 
Conversion of Existing Data
Conversion of Existing DataConversion of Existing Data
Conversion of Existing Data
 
MapStore Create, save and share maps and mashups @ GRASS-GFOSS 2013
MapStore Create, save and share maps and mashups @ GRASS-GFOSS 2013MapStore Create, save and share maps and mashups @ GRASS-GFOSS 2013
MapStore Create, save and share maps and mashups @ GRASS-GFOSS 2013
 
Maps4Finland 28.8.2012, Jari Reini
Maps4Finland 28.8.2012, Jari ReiniMaps4Finland 28.8.2012, Jari Reini
Maps4Finland 28.8.2012, Jari Reini
 
Maps4 finland 28.8.2012, jari reini
Maps4 finland 28.8.2012, jari reiniMaps4 finland 28.8.2012, jari reini
Maps4 finland 28.8.2012, jari reini
 
Concepts and Methods of Embedding Statistical Data into Maps
Concepts and Methods of Embedding Statistical Data into MapsConcepts and Methods of Embedding Statistical Data into Maps
Concepts and Methods of Embedding Statistical Data into Maps
 
Big data analytics K.Kiruthika II-M.Sc.,Computer Science Bonsecours college f...
Big data analytics K.Kiruthika II-M.Sc.,Computer Science Bonsecours college f...Big data analytics K.Kiruthika II-M.Sc.,Computer Science Bonsecours college f...
Big data analytics K.Kiruthika II-M.Sc.,Computer Science Bonsecours college f...
 
Flood Map Desktop for ArcGIS
Flood Map Desktop for ArcGISFlood Map Desktop for ArcGIS
Flood Map Desktop for ArcGIS
 

GEBCO 09 - DELPH

  • 1. New ways to share and visualizemarine geophysical data 4th GEBCO Science Day BREST 29th, September 2009 – Philippe ALAIN
  • 2. Introduction A growing number of organizations, universities, port authorities, survey companies, etc. are looking for new tools to visualize and share marine geophysical data. While the interest of a final paper or digital report is still of great importance, the ability to compare and merge multiple data sources and dig into the data is now available to anyone. Most geophysical packages are use proprietary formats and dedicated viewers. It results in long conversion times to standard GIS formats. DELPH software is built on modern GIS standards, removing conversion bottlenecks and easing geophysical data sharing.
  • 3. Side-Scan Sonar Data DELPH Sonar Acquisition DELPH SonarINterpretation
  • 4. Side-Scan Sonar Data Flow Side-Scan sonars commonly deliver digital raw data that is stored in industry standard XTF format. Signal processing and mosaicking lead to backscatter maps – mosaics - for use in GIS applications.
  • 5. Side-Scan Sonar Data – Interpretation results Profile annotation and feature contouring in DELPH save synthetic information to KML or ShapeFile Layers. Benefits: Synthetic and Lightweight interpretation results
  • 6. Side-Scan Sonar Data – Interpretation results PDF Printing drivers can be used to create documents at a desired size (A4, A3, A0) and at a desired resolution (300, 600 dpi) to share sonar data at an optimal resolution. Benefits: Interpreted profiles with sonar imagery can be shared in a lightweight standard format.
  • 7. Side-Scan Sonar Data – Targets Side-Scan Sonar targets are created in geoTIFF file format that can easily be used in any GIS or picture viewer HTML export can help to constitute a repository of contact information XML, CSV, ASCII reports help data integration in third party systems ASCII XML HTML CSV
  • 8.
  • 9. Data tilingalso speeds the data access, allowing « level of details » optimisations in common GIS systems.
  • 10. Using data tilesavoids the limit in file size regardless of the format.
  • 11. Mosaicscanalsobesaved to a single geoTIFF file whenneeded
  • 12.
  • 13. Side-Scan Sonar Data – Mosaic http://delph.ixsea.com
  • 14. Side-Scan Sonar Data – Mosaic http://delph.ixsea.com
  • 15. Magnetometer Data DELPH MAG LOCATOR
  • 17.
  • 18. DELPH uses ESRI ArcGIS components to represent spatial data in a 3D environment including the magnetic map and the magnetic anomaly vector which one is a XYZ ShapeFile
  • 19. Standard GIS formats can be used as background information (geoTIFF, ShapeFile, DXF).
  • 20.
  • 21. DELPH uses ESRI ArcGIS components to represent spatial data in a 3D environmentincluding the magneticmap and the magneticanomalyvectorwhich one is a XYZ ShapeFile
  • 22. Standard GIS formats canbeused as background information (geoTIFF, ShapeFile, DXF).
  • 23.
  • 24. Magnetometer Data - Maps http://delph.ixsea.com
  • 25. Magnetometer Data - Maps http://delph.ixsea.com
  • 26. Sub-Bottom Data DELPH SEISMIC Acquisition DELPH SEISMICINterpretation
  • 27. Sub-Bottom Data Flow Sub-Bottom data is commonly acquired and stored in industry standard SEGY format. Most interpretation reports include paper plots and formated text files of picked horizons.
  • 28. Sub-Bottom Data - Interpretation Interpretation on vertical planes is difficult to understand in space Acoustic reflectors picked on the seismic profiles lead to XYT shapefiles CSV formatted text files can be used in modelling software and GIS databases
  • 29. Sub-Bottom Data - Interpretation PDF Printing drivers can be used to create documents at a desired size (A4, A3, A0) and a desired resolution (300, 600 dpi) allowing to share interpreted seismic profiles at any resolution. Benefits:Interpreted profiles can be shared in a lightweight standard format.
  • 30. Sub-Bottom Data - Maps DELPH Seismic creates geo-referenced vertical view of the sub-bottom profiles and models the picked horizons to build geoTIFF maps that can be exported to KMZ layers
  • 31. To go further … Data Dissemination Surveying huge areas with multiple sensors increases the data volume a lot. Data-centers and dynamic access to data through web-based protocols will become a standard tool. Sample Integration: SHADOWS mapping sonarFactory developments and integration allow web-based access to large scale high resolution sonar maps Q.C. computer Processing computer GeoTIFF Map Local Network Storage computer Raw Data Gigabit dedicated Network User computer Sonar Control / CommandVisualisation User computer Processing / Interpretation
  • 32. Conclusion Native supporting standard fileformats not only optimizes thework-flow in geophysical mapping but also offers new tools toshare/distribute data: Digital products become new deliverables Data visualization benefits of recentdevelopments with the globe applications Integration of high resolution data (sonar, mag, etc.) with surface data (buildings, bridges, etc.) is now possible Information: delph@ixsea.com http://delph.ixsea.com
  • 33. For more information: http://delph.ixsea.com