Timm Schoening
Papers
3
Total Citations
90
H-Index
3
About
Timm Schoening is a leading figure in marine image analysis, whose work is central to the sustainable exploration of the deep sea. His research focuses on developing automated, data-driven methods to process the vast quantities of optical imagery captured by underwater robots and cameras. Schoening’s major contribution is the creation of robust algorithms for quantifying benthic resources, most notably his work on "Compact-Morphology-based poly-metallic Nodule Delineation" (2017, 58 citations). This method provides a critical tool for assessing polymetallic nodule abundance—a key step for both potential deep-sea mining operations and for monitoring the environmental impact of such activities. Beyond individual algorithms, he has also pioneered essential data management workflows for terabyte-scale marine image analysis (2018, 25 citations), ensuring that these massive datasets are not only collected but also curated and made reusable for the scientific community. Through his contributions to major research cruises like SO239 and SO242/1, Schoening has established the technical and methodological foundations that allow researchers to turn raw seafloor images into actionable, quantitative insights about our planet’s last frontier.
Research Focus
Key Achievements
Top Papers
- 1Compact-Morphology-based poly-metallic Nodule Delineation58 citations · 2017
- 2
- 3Seafloor images and raw context data along AUV tracks during SONNE cruises SO239 and SO242/17 citations · 2017