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Satellite Derived Bathymetry Dr. Thomas Heege EOMAP, Germany heege@eomap.de
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Motivation Extensive coverage, global scale Spatial and temporal continuity Attractive costs, rapid delivery Independent at remote/inaccessible locations ? Uncertainties quantifiable, standardized ? Which approach, which use cases ?
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Outline How does it work? Approach towards controlled SDB production What are the uncertainties and can they be quantified? What are the relevant applications? What happens next?
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Sentinel 2 Landsat 7/8 WorldView-2 WorldView-3 Spatial and temporal resolution of satellites IKONOS Kompsat 3 0.5m … 2m … 5m … 15m … 20m … 30m… Spatial resolution RapidEye Quick- bird Daily coverage 10 Mio 0.1 Mio
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Approach for optical satellite imagery Source: DigitalGlobe WorldView-2, acquisition date: 2011-10-30 Indicative / empirical methods: Relate brightness to water depth Photogrammetric / stereo approach: Find matching points on seafloor Multispectral, physics based approach: Resolve light-transfer and retrieve optical properties
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Approach for optical satellite imagery (Semi-) EmpiricalPhysical Setup & investmentEasySophisticated Location independent (In situ data not mandatory) NoYes Uncertainties traceable (independent on in-situ data) NoYes Production capabilityDependent on in situ data availability Large, highly automatable Methods Relating brightness or log-ratios to depth (e.g. Lyzenga et al., Stumpf, etc) Resolving the light transfer (e.g. CSIRO SAMBUCA, EOMAP MIP) Focus on the multi-spectral approach:
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Un-corrected imagery: view at sensor Heron Island, WorldView-2 Radiances (RGB: ch4, 3, 2) Source: DigitalGlobe WorldView-2, acquisition date: 2011-10-30
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Atmospheric effects removed: view at sea surface Heron Island, WorldView-2 Reflectance (RGB: ch4, 3, 2) Source: DigitalGlobe WorldView-2, acquisition date: 2011-10-30
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Water column removed: view at seafloor Heron Island, WorldView-2 seafloor reflectances (RGB: ch3, 2, 1) Source: DigitalGlobe WorldView-2, acquisition date: 2011-10-30
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Satellite Derived Bathymetry SDB Seafloor reflectance draped over bathymetry (Heron Island) Include copyrighted material of DigitalGlobe. WorldView-2
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Simulated Uncertainty of SDB: 10% CSIRO By courtesy of A. Dekker/CSIRO
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Uncertainty statistics: a realistic picture? Red Sea West-Australia Caribbean Sea Arabian Gulf Only applicable in optical shallow waters Experience: approx. 10% ± 0.5 m 0 … max 40m
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www.fugro.com Profile 2 Courtesy of Don Ventura, © FUGRO Torres Strait, Queensland Satellite Derived Bathymetry Airborne Lidar Bathymetry
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www.fugro.com Profile 5 Courtesy of Don Ventura, © FUGRO Torres Strait, Queensland Satellite Derived Bathymetry Airborne Lidar Bathymetry
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Uncertainties calculated for Lake Michigan Location: Lake Michigan 2 1
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SDB Uncertainty Estimation Lake Michigan 1 2
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SDB Uncertainty Estimation Lake Michigan... bottom albedo retrieval uncertainty Increase of uncertainties due to … … dark seafloor … increasing depth 1 2
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Use cases: Bathymetry for coastal planning / Shell © Qatar Shell Upstream doi:10.2523/17346-MS https://www.onepetro.org/ conference-paper/IPTC-17346-MS From: IPTC conference 2014 Shell/Siermann, OGEOzine article Q1 2014: ‘Supporting Qatar Shell with the execution of onshore and offshore seismic programs’ 740 sq km delivered rapidly 40cm vertical accuracy Significant cost savings > 1Mill $ HSSE risks mitigated Project schedule efficiently supported Key technology to aid the planning and preparation of seismic surveys.
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2m spatial resolution SDB Acquisition date: 3 rd Mar. 2013 15m spatial resolution SDB Acquisition date: 24 th Jan 2014 Nautical chart Scale: 1:35 000, Ed. 1980 Mulitple resolutions between 0.5m and 30m grid spacing Example: Sir Bani Yas island, Abu Dhabi Sir Bani Yas Island Sir Bani Yas Island
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Off-The-Shelf Bathymetry – BASEMAPS Improved transnational base maps for planning Off-the shelf catalogue Resolutions: 30m,.. 70 cm http://www.eomap.com/off-the-shelf-data > 1 Mill sqkm mapped in 2013/2014
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What happens next? Objective: Increase awareness and acceptance of satellite derived bathymetry Rapid availability also in remote areas, independent, Cost effective synthesis with hydrographic surveys Supporting initial planning or reconnaissance in hydrographic applications SDB standards development Operational uncertainty values: prove and define Definition of SDB product and qualification categories: Quantitative depth, indicative depth, minimum depth, map representation Seafloor, Obstructions, Environment Supporting Trans-national Base-maps and electronic data sets Large scale production of relevant SDB product categories Easy access: Integration into online portals and electronic charts Regular updates, change monitoring, multi-source integration
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heege@eomap.com We acknowledge contributions from: Don Ventura, Fugro Arnold Dekker, CSIRO Thank you! Questions?
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