Prediction of algal bloom dynamics using ocean simulations
- Project and Master Subjects 2025-2026
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Past Projects
- Project and Master Subjects 2024-2025
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Project and Master Subjects 2023-2024
- Multi-satellite data fusion for ocean color remote sensing
- Multimodal ocean color imaging with UAVs
- Hyperspectral super-resolution for ecosystem monitoring in fjords
- Semisupervised algae monitoring from hyperspectral satellites
- Prediction of algal bloom dynamics using ocean simulations
- Sharpening Hyperspectral Remote Sensing Data from Miniaturized Imagers
- MIMO model for water constituents using HYPSO-1 data
- Detection of Large Ships using HYPSO-1 Hyperspectral Remote Sensing Satellite Data
- Unsupervised learning for hyperspectral image segmentation
- Optimal Data Reduction in Miniaturized Hyperspectral Imaging Sensor
- HYPSO-2: Software-defined-radio (SDR) payload integration for HYPSO-2
- Automation of operations for the HYPSO-1 satellite
- Designing a Software-defined-radio (SDR) application experiment for communication between on-ground sensor systems
- HYPSO-3 Mission analysis
- Software Development for CubeSat Payloads for HYPSO-3
- Project and master assignments 2022
Prediction of algal bloom dynamics using ocean simulations
Contact
joseph.garrett@ntnu.no
NTNU's [HYPSO-1](https://www.ntnu.edu/web/smallsat/ntnu-smallsat-lab) satellite records images of the ocean in 120 spectral bands which can resolve many unexpected features in the earth's oceans. However, it is one thing to observe something unusual, but it is another to predict how it will change in time. For example, if a harmful algal bloom is observed near a fish farm, we would like to know if it will move towards or away from the farm.
NTNU and SINTEF jointly work on the SINMOD ocean simulation model. The goal of this project is to develop a framework for how SINMOD can be used to predict the development of unexpected spectral features in the ocean. Tentatively, the features will be identified using independent component analysis. The accuracy of the framework will be evaluated in situations where HYPSO-1 has recorded a time-series of images at a given location.
The project is related to a collaboration with Grieg Seafood and Salmar, two fish farming companies. It would be possible to join meetings with the whole collaboration and perhaps even present your work at them, if desired. It might even be possible to visit some fish farms.