Inno lab and MSc idea presentation

On Friday 8th of April from 9am onwards we will have the following EAGLE presentations:

“Assessment of open-source street-level imagery for building classification in Lima, Peru” by Larissa Gorzawski (Inno lab supervised by Hannes Taubenböck and Christian Geiß)

“Classification of seismic building types in Lima (Peru) with street-level imagery and deep transfert learning methods” by Larissa Gorzawski (MSc. thesis idea supervised by Hannes Taubenböck and Christian Geiß)

“Low cost UAV data acquisition in Biosphärenreservat Rhön” by Helena Wehner (inno lab supervised by Martin Wegmann)

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Our EAGLE Clara is doing her internship in the Arctic

Our EAGLE Clara is doing her internship in the Arctic

by | Sep 13, 2024 |

Clara, an 8th gen EAGLE, is currently doing her internship in the Arctic. She spends 2 months in Longyearbyen on Svalbard where she works with colleagues from UNIS who are already collaborating with our EORC scientists, namely Dr. Bevanda. Clara works at the Arctic...

Master Defense: Comparing the suitability of remote sensing and wildlife camera time series for deriving phenological metrics of understory vegetation in temperate forests of Upper Franconia, Bavaria

Master Defense: Comparing the suitability of remote sensing and wildlife camera time series for deriving phenological metrics of understory vegetation in temperate forests of Upper Franconia, Bavaria

by | Sep 12, 2024 |

On September 18, Sarah Schneider will present her master thesis "Comparing the suitability of remote sensing and wildlife camera time series for deriving phenological metrics of understory vegetation in temperate forests of Upper Franconia, Bavaria" at 14:00 in...

Cooperation with Namib desert Research Institute Gobabeb

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by | Sep 2, 2024 |

The Namib desert research station Gobabeb (www.gobabeb.org) is involved in diverse research projects and is hosting various students and researchers from a wide range of backgrounds and nationalities. They are also already involved in remote sensing and very...