Satellite derived bathymetry and seafloor mapping of the coastal zone 2016-11-09 EOMAP GmbH & Co.KG Germany Australia USA www.eomap.com info@eomap.de
About EOMAP Filling data gaps o Founded in 2006 with HQ close to Munich, DE o Since 2013 offices in USA and Australia. o Successful projects delivered to users in 20 countries within the last two years o Core services are mapping and monitoring of coastal and marine environments o Strong R&D section to constantly improve state of the art Integrated Solution Partner Copernicus award winner 2011 and 2013 Information Program Partner
About EOMAP Filling data gaps US office AU office project location
What it s about?
Hidden geoinformation platforms Surface obstructions
EOMAP s physics based method Schema of the light signal measured by optical satellites EOMAP s mathematical translation of the system pixel = f(atm., adjacency, water surface, aborbers and backscatterers of the water column, seafloor, water depth, seastate, sun and sensor geometry, SNR ratio) Image courtesy of the Centre for Spatial Environmental Research, University of Queensland)
EOMAP s physics based method Satellite Subsurface water atmosphere bathymetry adjacency sunglint radiance column reflectance image habitats
Example: Correction modul sunglitter and atmosphere Flight line 1 Flight line 2
Output of the sunglitter and atmospheric correction modul
18m Satellite Derived Bathymetry Mtwarba region, Tanzania
18m Seafloor reflectance drapped over Satellite Derived Bathymetry
Seafloor habitat classification drapped over Satellite Derived Bathymetry seagrass sediment corals Coral rubble macroalgal
Accuracies
Vertical uncertainties Kompsat-3, 0.7m Red Sea Validated against MBES WorldView-2, 2m West-Australia Validated against Lidar WorldView-2, 2m Caribbean Sea Validated against Lidar 2 Uncertainties = f(atm., adjacency, water surface, aborbers and backscatterers of the water column, seafloor, water depth, seastate, sun and sensor geometry, SNR ratio)
Understanding uncertainties Uncertainties = f(atm., adjacency, water surface, aborbers and backscatterers of the water column, seafloor, water depth, seastate, sun and sensor geometry, SNR ratio)
Applications / use cases
UKHO British Admiraltiy Chart BA 2066 Southern Antigua integration of EOMAP s Satellite Derived Bathymetric data Updating charts, integrated approach EOMAPs SDB product competed against three other methods from other service providers and was used in the BA2066 chart, the first UKHO chart which includes SDB data. See also the UKHO session at the shallow water conference 2015: http://www.shallowsurvey2015.org/presentations/ss2015_session05_talk1_ukho.pdf
Demonstration: Updating ENCs Edition 5, Update 2, Issues Date 20160310 ENC Indonesia, Pulau L.
Demonstration: Updating ENCs ENC creation: ChartPlotter, 7Cs Satellite Derived Bathymetry: 10m grid Rapid, cheap solution to update ENCs
Shallow water bathymetry Syria Derived from most recent satellite image data Rapid mapping on Inaccessible areas Bathymetry (Chart Datum)
South China Sea: Thitu Reef Using Very High resolution Satellite Images for Den Haag court case Historical mapping Data have been used for current Den Haag court case: China vs. Philippines, South China Sea
Seafloor Habitat Mapping Abu Dhabi Environmental Agency Provision of Abu Dhabi Baseline map for benthic habitats using high resolution image data Validated (85% overall classification accuracy) and embedded into day-to-day work of the Abu Dhabi Environmental Agency (EAD) EAD database: http://enviroportal.ead.ae/mapviewer
Summary Shallow water depth from optical satellite sensors can be derived up to the light extinction depth (approx. 1x Secchi Disk Depth) Shallow water bathymetry data can be provided in different grid spacing from 1.3, 10 to 15m. Data follow OGC standards, thus be integrated standard software. Typical turn-around time for 500 sq km ranges from 3 days to 3 weeks depending on grid spacing. Understanding physics is mandatory to handle uncertainties and perform independent data processing Further layers include seafloor habitats, obstructions and water column properties.
Thank you! Visit our booth www.eomap.com hartmann@eomap.de KSA, Jeddah area, Sentinel-2 image
Shallow water bathymetry and seafloor mapping for high latitude
Subi Reef, South China Sea 2014-01-08 2015-08-01