In 2024, members of the AI4EO project participated with results dissemination at several IEEE conferences: IGARSS, ATOMS, and MetroSea.
At IGARSS, our paper focused on developing a multimodal (optical & radar) dataset (following the methodological principles established by the BigEarthNet-MM dataset) for the study of natural disasters. The new proposed dataset includes additional classes, such as "Flooded Area," "Burned Area," and "Volcanic Landscape," to provide a more nuanced and efficient assessment of the performance of artificial intelligence models in natural disaster scenarios.
Three papers at ATOMS highlighted the use of advanced Earth observation technologies for new ecological and public health challenges under climate change: assessing drought risks, temporal changes in the Danube Delta, and the impact on vector-borne diseases.
Not least, the MetroSea study focused on sea current evolution under wind gusts and possible forecasting, public safety, and monitoring purposes based on Sentinel-1 SAR data. An incident from August 2023 on the Romanian shore served as case study and underscored the urgency of understanding such dynamics.
Multimodal-Ready Sentinel Dataset for Natural Hazards Supervised Learning @ IGARSS24
Harmonizing One Health and Earth Observation to Unravel Climate Change Impact on Vector-Borne Transmitted Disease @ ATOMS24
Several conference publications under AI4DTE:
- I. Grujdin and M. Datcu, "Multimodal-Ready Sentinel Dataset for Natural Hazards Supervised Learning," IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 738-742, doi: 10.1109/IGARSS53475.2024.10642069
- D. Faur, C. Vaduva, M. Datcu, C. Damian, M. Coca and L. Miron, "Harmonizing One Health and Earth Observation to Unravel Climate Change Impact on Vector-Borne Transmitted Disease," 2024 Advanced Topics on Measurement and Simulation (ATOMS), Constanta, Romania, 2024, pp. 38-41, doi: 10.1109/ATOMS60779.2024.10921529
- M. Catalin-Andrei and M. Datcu, "Causal drought risk assessment fusing meteo data and satellite image time series: case study of Nuntasi lake," 2024 Advanced Topics on Measurement and Simulation (ATOMS), Constanta, Romania, 2024, pp. 31-33, doi: 10.1109/ATOMS60779.2024.10921575
- M. Keymasi and M. Datcu, "Analyzing Temporal Changes in the Danube Delta: A Time Series Study with Co-registered Sentinel-1 and Sentinel-2 Data," 2024 Advanced Topics on Measurement and Simulation (ATOMS), Constanta, Romania, 2024, pp. 34-37, doi: 10.1109/ATOMS60779.2024.10921541
- M. A. Iqbal, A. Anghel and M. Datcu, "Validation of Reported Strong Currents in Mamaia Bay (Black Sea) Using Sentinel-1 SAR Data," 2024 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea), Portorose, Slovenia, 2024, pp. 448-453, doi: 10.1109/MetroSea62823.2024.10765749
These publications reflect the project’s commitment to advancing digital technologies and Earth Observation solutions that support environmental intelligence and interdisciplinary research for climate adaptation.
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