Short description and objective of the project:
This MSc project investigates a machine‑learning approach to derive shallow‑water bathymetry by fusing Sentinel‑2 multispectral imagery with ICESat‑2 LiDAR depth points. The objective is to develop and evaluate a scalable, space‑borne Satellite‑Derived Bathymetry method suitable for engineering applications, reducing dependency on traditional in‑situ surveys.
Example Studies:
(PDF) Space-Borne Cloud-Native Satellite-Derived Bathymetry (SDB) Models Using ICESat-2 And Sentinel-2
Activities Platform - Activity: 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
Other relevant information:
The project combines scientific research with direct engineering applicability and is conducted in collaboration with Haskoning.
As our new graduation intern within Haskoning, you will become part of the team Coastal & River, Dynamics & Design, which falls under the Advisory Group Maritime and Renewables. Our team combines deep expertise in coastal and river processes with practical engineering design to deliver robust solutions for flood risk management, coastal protection, constructing marinas, ports, and nature‑based solutions for e.g. shoreline stability.
Our team mainly works from the Amersfoort, Utrecht, and Delft offices. To make your internship as enjoyable and enriching as possible, we highly recommend living as nearby as possible so you can join us in the office regularly. The more connected and engaged you are, the more rewarding your assignment will be!
