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SPACE-BORNE CLOUD-NATIVE SATELLITE-DERIVED BATHYMETRY (SDB) MODELS USING ICESat-2 and SENTINEL-2
  • +4
  • Nathan Marc Thomas,
  • Avi Putri Pertiwi,
  • Dimosthenis Traganos,
  • David Lagomasino,
  • Dimitris Poursanidis,
  • Shalimar Giovanna Moreno,
  • Temilola Fatoyinbo
Nathan Marc Thomas
Earth System Science Interdisciplinary Center/NASA Goddard Space Flight Center, Earth System Science Interdisciplinary Center/NASA Goddard Space Flight Center

Corresponding Author:[email protected]

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Avi Putri Pertiwi
German Aerospace Center (DLR), German Aerospace Center (DLR)
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Dimosthenis Traganos
Deutsches Zentrum für Luft und Raumfahrt DLR Standort Berlin, Deutsches Zentrum für Luft und Raumfahrt DLR Standort Berlin
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David Lagomasino
Coastal Studies Institute, Coastal Studies Institute
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Dimitris Poursanidis
University of the Aegea,Foundation for Research and Technology Hellas,terraSolutions marine environment research, University of the Aegea,Foundation for Research and Technology Hellas,terraSolutions marine environment research
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Shalimar Giovanna Moreno
Coastal Studies Institute, East Carolina University, Coastal Studies Institute, East Carolina University
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Temilola Fatoyinbo
NASA GSFC, NASA GSFC
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Abstract

Shallow nearshore coastal waters provide a wealth of societal, economic and ecosystem services, yet their topographic structure is poorly mapped due to a reliance upon expensive and time intensive methods. Space-borne bathymetric mapping has helped address these issues, but has remained dependent upon in situ measurements. Here we fuse ICESat-2 lidar data with Sentinel-2 optical imagery, within the Google Earth Engine geospatial cloud platform, to create wall-to-wall high-resolution bathymetric maps at regional-to-national scales in Florida, Crete and Bermuda. ICESat-2 bathymetric classified photons are used to train three Satellite Derived Bathymetry (SDB) methods, including Lyzenga, Stumpf and Support Vector Regression algorithms. For each study site the Lyzenga algorithm yielded the lowest RMSE (approx. 10-15%) when compared with in situ NOAA DEM data. We demonstrate a means of using ICESat-2 for both model calibration and validation, thus cementing a pathway for fully space-borne estimates of nearshore bathymetry in shallow, clear water environments.
28 Mar 2021Published in Geophysical Research Letters volume 48 issue 6. 10.1029/2020GL092170