📢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
đź’Ś #ERA5 #timeseries #meteorology #remotesensing #earthobservation #GIS #opendata
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.
• 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
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
‼️ Fully-funded #PhD #position on “Integration of Advanced Spectral and Thermal #RemoteSensing Methods and #ArtificialIntelligence for Assessing the State and Functioning of Ecosystems across Scales” at @sciencecharles.bsky.social 🇨🇿
đź”— Detailed info: shorturl.at/GKICI
🗓️ Deadline: December 15, 2025
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....
Now you can watch the recording of my presentation on estimating #NDVI, EVI, LAI and FAPAR using #SAR and ancillary data through #machinelearning approaches during the @pangeos-ca22136.bsky.social webinar, summarizing two studies: doi.org/10.14712/233... & doi.org/10.1080/2096...
#geosky #GEE #EO
Our new #OpenAccess paper in @bigearthdata1.bsky.social @tandfresearch.bsky.social on evaluation of 10 satellite-based and reanalysis #precipitation datasets on a daily basis for #Czechia
doi.org/10.1080/20964471.2025.2592444
Most accurate: GSMaP & ERA5-Land
Worst results: CHIRPS, GLDAS & PERSIANN
Introducing GEM-Forest, a 10m Global EMbedding-based #forest and tree crop map for 2020 that combines linear SVM and Google DeepMind's AEF satellite #embeddings.
Read the preprint: doi.org/10.5194/egus...
@valeriomarsocci.bsky.social @adamhastie.bsky.social #philab
#GISChat #GeoSky #EOChat