Paper presented at international conference in Novi Sad

Our team members Ognjen Antonijević and Branislav Bajat attended the Geospatial and Environmental Dynamics: Between Fundamental and Applied Scientific Research conference held in Novi Sad, Serbia  on 15th and 16th November 2024, where they presented the paper “Above ground forest biomass estimation based on remote sensing and in-situ data.”

Conference paper presented at MEDCLIVAR-SISC 2024

Our team members Aleksandar Sekulić and Milan Kilibarda presented the paper “MeteoEurope1km and ChatGPT integration: Chat with high-resolution historical meteorological data through advanced NLP” at the conference MEDCLIVAR-SISC 2024: Bridging multiple space and time scales in climate sciences held at Lecce, Italy between September 24th-27th, 2024.

Conference paper presented at SYMOPIS2024

Project team member Slobodan Jelić presented the paper “MILP for Integrated Berth Allocation and Crane Operations Scheduling in Container Terminals,” co-authored with Tatjana Davidović and Nataša Kovač, at the 51st International Symposium on Operational Research (SYMOPIS2024). The symposium was held from September 16–19, 2024, in Tara, Serbia.

Conference paper presented at ICME2024

Project team members Vesna Šešum-Čavić and Slobodan Jelić presented their position paper, “An Intelligent Method for Hyperparameter Optimization in Deep Learning Models for Soil Organic Carbon Estimation from Spectral Measurements” at the 2nd International Conference on Mathematical Modelling in Mechanics and Engineering (ICME2024). The conference took place from September 12–14, 2024, at the Mathematical Institute […]

Paper published in a prestigious scientific journal

Our team member Marko Kazimirović is one of the authors of the paper “Identifying drivers of non-stationary climate-growth relationships of European beech” published in the Science of the Total Environment journal, Volume 937, 10 August 2024, 173321. https://doi.org/10.1016/j.scitotenv.2024.173321

ForestCO2 at the International Fair of Techniques and Technical Achievements

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 […]