The event was a joint effort of four #COSTActions: #3DForEcoTech (groud-based LiDAR), #PANGEOS (remote sensing), #CLEANFOREST (tree ecophysiology and ecology) and #ARiF - Augmented Reality In Forestry.

Huge thanks to #PANGEOS for supporting my participation!

#ConnectedByTrees

💡@markuseichhorn.bsky.social's keynote on interdisciplinarity reinforced my postdoc goal to step beyond Earth Observation and collaborate across disciplines: to learn more by knowing less.

I also briefly showed my peers how SAR time series can support forest monitoring during the PANGEOS section.

In my poster, I also shared new improvements where I incorporated temporal features, applied snow masking and extended the training dataset timeline to five years, which significantly boosted the accuracy of our #MachineLearning models!

👉 My poster is available here: github.com/palubad/SAR-...

‼️ The deadline for applications has been extended to 1st July 2025!

Don't miss out the ESA Land training focusing on EO in Agriculture in Thessaloniki, Greece!

Register here: landtraining2025.esa.int

#EOTrainingAcademy #GISchat #EOchat #GeoSky #EarthObservation #RemoteSensing #Agriculture

I have developed a user-friendly interface for using the MMTS-GEE. It is available here: code.earthengine.google.com/64a4db31218a... (you need a GEE account).
You can find it also on GitHub: github.com/palubad/MMTS...

The full-quality poster is available here: storage.mlcdn.com/account_imag...

@tandfresearch.bsky.social

Best-performing models available on Hugging Face: huggingface.co/palubad/SAR-...
Demo-code for running the models on GitHub: github.com/palubad/SAR-...
MMTS-GEE to generate multi-modal time series data: github.com/palubad/MMTS... , developed in our previous work: karolinum.cz/data/clanek/...

✅ Achieved temp. resolution of up to 240 measurements/year using SAR-based VIs with 2 S1 satellites in 2021 [soon to be restored with Sentinel-1C]
✅ Early disturbance detection: within 4 days vs 35 days with optical indices
✅ Fine-tuned #XGBoost and #RandomForest regressors outperformed #AutoML

👉 Temporally and spatially aligned SAR, DEM-based & meteo. features trained to estimate time series of #NDVI, #EVI, #LAI & #FAPAR
👉 Trained and tested in Czechia for healthy deciduous and coniferous forests, as well as disturbed areas ⏩ transferability tested for the whole Central Europe

Great to see it in action. Looks cool!
It reminded me that for larger countries, I should add a selection for smaller administrative units. I will try to implement it soon.

👉 Sign up for our newsletter here: eo4landscape.natur.cuni.cz/newsletter-2/

The Copernicus Academy CZ newsletter is prepared by the EO4Landscape research team at @sciencecharles.bsky.social Department of Applied Geoinformatics and Cartography, with support from the FPCUP project.

🌍 @copernicusland.bsky.social LMS General Assembly 2025 – registration & abstracts open for Krakow (May 20–22)
🚨 Copernicus Emergency Monitoring Service Conference – insights into flood monitoring (April 2–3)
🥦 Zero Hunger Online Course series by @EO College – explore EO’s role in food security

💨 WEkEO Workshop on Atmospheric Monitoring – live demos and user experiences (March 24 & 26)
📡 @esa.int ESA Earth Observation Workshop 2025 – hands-on training at ESA Academy in Belgium (July 14–18)
🛰️ DLR/ESA Open PolInSAR Course – deep dive into Polarimetric InSAR techniques (March 28 deadline)

What’s inside?
🚀 Advanced Use of Copernicus Browser – an interactive webinar on exploring Copernicus data by the Copernicus Data Space Ecosystem (April 8)
🌲 Remote Sensing of Forests Summer School – UAV, SAR and LiDAR applications at the Czech University of Life Sciences Prague (June 2–6)