Google scholar profile
https://scholar.google.com/citations?user=agUTTeIAAAAJ
ORCID profile
Dr Daniel Schürholz
Working Group Leader Data Science and Technology
Programme Area: Programme Area 1 – Coastal Resources
Working Group:
WG Data Science and Technology
Phone: +49 (0)421 23800 - 0
Email:
Office:
Fahrenheitstr. 8
28359 Bremen
28359 Bremen
Room:
3116 (1st floor)
ZMT Field data available in these locations
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Research interests
We are interested in the intersection of data science and technology and the monitoring of coastal ecosystems. We have but special effort in developing automated machine learning workflows and tools to map and monitor coastal habitats, such as mangrove forests, coral reefs and tropical rocky reefs. We apply deep learning techniques to different sensor data, with special emphasis on underwater and airborne imagery. We are interested in developing and applying technological advances of sensor platforms in new environments (e.g. underwater multi- and hyperspectral imagery; aerial and on-ground LiDAR for mangrove forest characterization). Future directions might also include other signal types — such as audio — and other technologies — such as IoT.