Sivert Bakken
Papers
1
Total Citations
9
H-Index
1
About
Sivert Bakken is a researcher at the forefront of oceanographic remote sensing, specializing in hyperspectral imaging, onboard data processing, and small satellite systems. His work centers on developing intelligent, real-time image processing pipelines that enable autonomous ocean observation—a critical capability for monitoring marine ecosystems and environmental changes. Bakken’s most cited paper, “Hyperspectral Image Processing Pipelines on Multiple Platforms for Coordinated Oceanographic Observation” (2021, 9 citations), addresses the computational challenges of handling large hyperspectral datasets, proposing efficient architectures that allow remote agents to interpret data in near real-time. This work is integral to the Norwegian University of Science and Technology’s HYPSO-1 mission, a pioneering small satellite project designed to demonstrate coordinated ocean color monitoring from space. Bakken’s contributions bridge the gap between hardware constraints and algorithmic efficiency, advancing the practical deployment of hyperspectral sensors in dynamic marine environments. His research has significant implications for climate science, fisheries management, and pollution tracking, making him a rising figure in the intersection of space technology and oceanography.
Research Focus
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Top Papers
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