Tag: deep learning
New Publication: Automated Extraction of Annual Er...
Posted by EORhub | Aug 1, 2022 | News, publication | 0 |
New Publication: A Circum-Arctic Monitoring Framework for Quantifying Annual Erosion Rates of Permafrost Coasts
by EORhub | Feb 9, 2023 | News, publication | 0 |
I’m happy to share my newest publication on quantifying circum-Arctic erosion rates at high...
Read MoreNew Publication: Automated Extraction of Annual Erosion Rates for Arctic Permafrost Coasts Using Sentinel-1, Deep Learning, and Change Vector Analysis
by EORhub | Aug 1, 2022 | News, publication | 0 |
I’m happy to share my newest publication on combining Sentinel-1 SAR data with deep learning...
Read Morenew M.Sc. thesis “animal movement prediction using environmental data”
by Martin Wegmann | Apr 27, 2018 | Biodiversity, Conservation, MSc thesis, News | 0 |
Jakob Schwalb-Willmann just started his M.Sc. thesis titled “A deep learning movement prediction...
Read Morenews blog by
the Earth Observation Research cluster
EORC
at the University of Würzburg
Institute of Geography and Geology
John Skilton Str 4a
97074 Würzburg