BIG NEWS! 😁 I'm happy to announce that cubo v2024.1.0 can create cubes from Google Earth Engine in addition to STAC catalogues! gh: github.com/ESDS-Leipzig... Check the tutorial here: cubo.readthedocs.io/en/latest/tu...

Big news from #Lexcube! 🌍 We have released Lexcube for Jupyter, an open-source Jupyter notebook extension that allows everyone to visualize their own 3D data as interactive data cubes, right in their notebooks! And the best part: it is as easy as plotting a 2D figure! github.com/msoechting/l...

The Planetary Boundary concept is based on a strong visualisation. However, we argue that (1) the PB figure exaggerate via quadratic scaling of effect sizes, (2) colour gradations are highly non-linear, and (1)+(2) amplifies the perception of high-risk areas: egusphere.copernicus.org/preprints/20...

Researchers often use interpretable machine learning tools like feature importances to identify drivers, but cross-validation strategy used can affect these results: Our open access study in AIES doi.org/10.1175/AIES... (with co-authors Jakob Zscheischler, Christoph Müller, Mohit Anand)

My amazing PhD student Maximilan Söchting published his first paper on a fully interactive viewer for very large Earth data: www.lexcube.org Please try it out! Paper published in IEEE Computer Graphics and Applications ieeexplore.ieee.org/document/102...

Happy for PhD cand Francesco Martinuzzi for having is paper in discussion comparing various RNNs in modelling vegetation responses ... there are still arguments for #ESNs, but all models struggled to capture impact of extremes. More research needed! 🌱🌍 🔗https://doi.org/10.5194/egusphere-2023-2368