The remote sensing course in the Global Change Ecology MSc program started again with the new students. It is again very interesting how spatial data, spectral information and its corresponding techniques are perceived. Highly challenging to teach remote sensing and GIS to our new MSc students but also lots of fun to see how the… Read More
Powered by WPeMatico
you may also like:
On Monday, 28.09.26, at 12 p.m., Henning Riecken will present his MSc thesis on “Mapping and Structural Assessment of Woody Vegetation in Bavaria Using Digital Elevation Models and Multisource Geodata” in in seminar room 3, John-Skilton-Str. 4a. From the abstract:...
Last week, Antonio José Castañeda-Gómez, PhD student at the EORC, showed his research at the joint NSO-GfÖ 2026 ecology conference, presenting on the use of multi-sensor UAV data to characterise forest structural complexity along silvicultural treatment gradients in...
Last week, EORC PhD student Elio Rauth presented research on the effect of UAV-derived snow depth on the spatial distribution of vegetation types on Svalbard at the joint NSO-GfÖ 2026 ecology. The study is part of Elio's PhD research as part of which he has been...
The Stadtfest Würzburg took over the city this weekend, and any many organisations, local initiatives, like DLRG and all other kinds of groups had booths, and we joined in with our own little corner on Earth observation beside various other University tents by...
Yesterday, at the joint NSO-GfÖ 2026 conference in Odense, Denmark, EORC postdoc Dr. Jakob Schwalb-Willmann presented research on the use of UAV and satellite remote sensing data of winter and summer surface conditions to model winter foraging selection of Svalbard...
At the joint NSO-GfÖ 2026 conference in Odense, Denmark, EORC postdoc and EO4cam researcher Dr. Julia Rieder gave an interesting talk on the use of airborne laser scanning (ALS) data and orthophoto time series data from airplane campaigns to detect change in canopy...
bzgl. Art. 50 Verordnung (EU) 2024/1689 (AI Act):
Überwiegend werden eigene originäre Texte und Bilder des EORC genutzt, jedoch sind einige Inhalte von blog post Texten teilweise mit Hilfe von KI überarbeitet worden und einige Bilder sind ganz mit KI erstellt, die jedoch deutlich keine photorealistische Darstellungen abbilden. Aussnahmen sind KI generierte fernerkundliche Datensätze, die explizit für Forschungszwecke mit KI erstellt wurden, hier wird aber durch den assoziierten Text der wissenschaftliche Grund der KI generierten Bilder erläutert.
