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Novel estimation of shallow water bathymetry using ICESat-2 laser altimetry, signal processing and machine learning and Sentinel-2 optical data in a highly automated approach

Thu, 07/28/2022 - 18:01
Start Date: 
2020
Programme: 
Discovery
End Date: 
2022
Programme Reference: 
ETD 2020-02-c
Country: 
Denmark
Contractor: 
DHI Gras
Status: 
Closed
Description: 

The project “Novel estimation of shallow water bathymetry using ICESat-2 laser altimetry, signal processing and machine learning and Sentinel-2 optical data in a highly automated approach” was funded under the European Space Agencies’ Open Space Innovation Platform (OSIP). The overall objective was to build a self-calibrating and efficient bathymetry mapping system by leveraging accurate and consistent ICESat-2 laser altimeter data as a calibration source for high-resolution Copernicus Sentinel-2 based water depth retrievals. The combination of these two free and open satellite data sources with advanced machine learning and Bayesian optimisation enables a more accurate and efficient mapping of the world’s shallow waters.

Application Domain: 
Earth Observation
Technology Domain: 
16 - Optics
6 - RF Subsystems, Payloads and Technologies
Competence Domain: 
5-Radiofrequency & Optical Systems and Products
Keywords: 
sentinel 2
bathymetry
ICESat-2
laser altimeter
machine learning
Executive summary: 
Final presentation: