This content is not published
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