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Postdoctoral researcher in Earth Observation @ Charles University, Prague, Czechia | SAR | Time Series | 🌳🌲Forests | Machine Learning | 🎓 Capacity Building | 🚴🏼🏐
Daniel Plauba
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Our study was awarded the 2025 Outstanding Paper Award by the @bigearthdata1.bsky.social at @tandfresearch.bsky.social ! I am grateful for this recognition to the editorial board, reviewers and my co-athors! Read the full paper here: doi.org/10.1080/2096... @sciencecharles.bsky.social
📢Evaluation of ten #satellite-based and #reanalysis #precipitation datasets on a daily basis for #Czechia (2001–2021) by Daniel Paluba et al. @palubad.bsky.social 👉https://doi.org/10.1080/20964471.2025.2592444 💌 #ERA5 #timeseries #meteorology #remotesensing #earthobservation #GIS #opendata
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• GEM-Forest offers a high potential for straightforward reproducibility for other years of AEF embeddings (2017-2025) Explore the GEM-Forest in our GEE app: danielp-cuni.projects.earthengine.app/view/gem-forest
Some takeaways: • Traditional ML models (linear SVM, ridge and logistic regression and kNN) performed as well as, or better than, more complex models (Random Forest, XGBoost, neural networks - MLPs). • It suggests that the AEF embedding space already provides a well-structured representation.
Last Monday, during the @copernicusecmwf.bsky.social C3S User engagement workshop within the #CzechSpaceWeek, I got a chance to present our work on the evaluation of precipitation datasets in Czechia. The paper is currently under review, but the preprint is available here: doi.org/10.13140/RG....