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 canopy height data for Serbia produced for 2020. based on the
NEW DATASET ALERT! Do you need a 1-meter resolution global map of
Today, Meta and World Resources Institute are launching a global map of
Aleksandar Sekulić, Milan Kilibarda, and Petar Bursać presented the MeteoEurope1km dataset at
At the 50th International Symposium on Operational Research (Mount Tara, Serbia), which
On December 11, 2023, the Science Fund of the Republic of Serbia
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