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EMODnet Bathymetry

EMODnet Bathymetry. SBD Day, Herrsching. Schmitt Thierry (SHOM ) Knut Hartmann (EOMAP) Benoit Loubrieu ( Ifremer ) Vivi Drakopoulou ( HCMR) Sandra Aguilar, Martin Verlan ( Deltares ) Dick Schaap (MARIS) All the EMODnet HRSM consortium. A brief history of bathymetric DEM.

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EMODnet Bathymetry

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  1. EMODnetBathymetry SBD Day, Herrsching Schmitt Thierry (SHOM) Knut Hartmann (EOMAP) Benoit Loubrieu (Ifremer) ViviDrakopoulou (HCMR) Sandra Aguilar, Martin Verlan (Deltares) Dick Schaap (MARIS) All the EMODnet HRSM consortium

  2. A briefhistory of bathymetric DEM Gebco 2008 – EMODNET 2014

  3. 2008 2016 Sources identification

  4. EMODnetBathymetry Consortium

  5. Summary: Global workflow

  6. www.emodnet-bathymetry.eu

  7. Limitations in the coastal areas From Eakins et al. [2014] Modified after Cowell and Thom [1997].

  8. SDB data provided to EMODnet Bathymetry by EOMAP Spain Mediterranean Coast Aegean Sea and Peloponnes Lybia, Tobruk area

  9. Metadata Catalogue

  10. Spain MediterranenCoast 8 CPRD dataset for Spain Med. coast, including Ceuta and Melilla Average bathymetric data coverage down to 15m

  11. Aegean Sea and Peloponnes 9 CPRD dataset for GreeceAgeanSea and Peloponnes. Average bathymetric data coverage down to 18m

  12. Aegean Sea and Peloponnes 1 CPRD dataset for Lybia, Tobruk area. Average bathymetric data coverage down to 20m

  13. Western Mediterrannean Scatterplot of Satellite Derived Bathymetry vs. approx. 4 million acoustic survey point datasets and 0.4 million charting points for the Spanish Mediterranean coastline, showing a coherent fit with vertical uncertainties better than ZOC category C (2 + 5%waterdepth).

  14. Balearics Satellite Derived Batyhmetry High res. MBES This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 687323.

  15. Med east

  16. Island of Crete Satellite Derived Bathymetric Grid, Iraklion area, SDB (2018) EMODnet1/8 (2016)

  17. Channel Islands

  18. Coastline estimation Satellitewater occurrence detection 10% dry 90% dry 90% sea level High waterline MSL 10% sea level Low waterline High-res bathymetry Tidal information from Numerical Model

  19. 3. Relate satellite passage to water level 1. Gather satellite data 2. Detect Water bodies 4. Extrapolate water bodies limits to defined tidal levels

  20. DTM confidence estimation

  21. Visit us: www.emodnet-bathymetry.eu

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