The canopy height data for Serbia produced for 2020. based on the paper by Lang et al. (2022). “Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles.” combines GEDI LIDAR data and Sentinel-2 imagery using advanced deep learning techniques.
This data is a key predictor for biomass estimation and captured CO2 in biomass, essential for project methodology based on EO and ML is currently being developed by the ForestCO2 project.
The Faculty of Civil Engineering actively participated in the 17th Regional Science
Our team members Ognjen Antonijević and Branislav Bajat attended the Geospatial and
Our team member professor Vladan Ivetić presented the “PAN-EUROPEAN NETWORK FOR CLIMATE
Professor Vladan Ivetić presented a paper titled “Reforestation challenges in Serbia” at
Our team members Aleksandar Sekulić and Milan Kilibarda presented the paper “MeteoEurope1km
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