National Canopy Height and Biomass Maps for Serbia Published Under the ForestCO2 Project
The ForestCO2 project has published a comprehensive open-access dataset featuring annual Canopy Height Maps (CHM) and Above-Ground Biomass (AGB) estimates for Serbia, covering the period from 2020 to 2024. The canopy height maps were generated using a cutting-edge deep learning model (Zhou et al., 2023, Nature Ecology & Evolution) applied to Sentinel-2 imagery with the […]
ForestCO2 Project Publishes Afforestation Potential Maps for Serbia
As part of the ForestCO2 project, a new open-access dataset has been published, presenting the afforestation potential areas across Serbia based on ecological and land suitability criteria derived from scientific literature. The analysis covers several tree species relevant to forest ecosystems in Serbia. The following species were included in the study: Methodology: Each site was […]
ForestCO2 Project Releases In-Situ Dataset from Goč Mountain
The first open-access dataset from the ForestCO2 project has been published on the Zenodo platform. It contains results from in-situ measurements conducted at the Faculty of Forestry’s experimental site on Goč Mountain. This dataset is essential for developing and validating methodologies for forest biomass estimation and carbon credit verification using a combination of satellite and […]
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.”
Paper presented at Conference on Adaptation and Mitigation to Climate Change in the Azores in Portugal
Our team member professor Vladan Ivetić presented the “PAN-EUROPEAN NETWORK FOR CLIMATE ADAPTIVE FOREST RESTORATION AND REFORESTATION.” paper at the Conference on Adaptation and Mitigation to Climate Change in the Azores, which was held on October 25th and 26th 2023. in Ponta Delgada, Azores, Portugal.
Paper presented at Forest restoration and afforestation as pathways for addressing climate change challenge round table in North Macedonia
Professor Vladan Ivetić presented a paper titled “Reforestation challenges in Serbia” at Forest restoration and afforestation as pathways for addressing climate change challenge round table in Skopje, North Macedonia on 6.10.2023.
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