Spatial Data Science Seminar

The Spatial Data Science Seminar is back. This seminar, organised jointly by IST's Department on Mineral and Energy Resources Engineering and CERENA, showcases recent advances on data science methods applied to spatial problems. 

9:30 Welcome section

9:40-10:00 - Large Language Models for Captioning and Retrieving Remote Sensing Images. João Daniel Silva (IST), João Magalhães (IST), Devis Tuia (IST), Bruno Martins (IST).

10:00 - 10:20 - An empirical linear mixed-effects model approach to compare TROPOMI/Sentinel 5 Precursor NO2 observations with ground-based measurement in the Iberian Peninsula. Rita Cunha (CoLab +ATLANTIC), Ana Oliveira (CoLab+ATLANTIC), Inês Girão (CoLab +ATLANTIC).

10:20 - 10:40 - Space-time characterization of fire-related air pollutants over Portugal. Rita Durão (IPMA), Célia Gouveia (IPMA), Madalena Simões(IPMA), André Brito(IPMA) e Ana Russo (FCUL).

10:40-11:00 - Discussion

11:00-11:20 Coffee Break

11:20-11:40 - Exploring the uncertainty of landslide susceptibility via a Probabilistic Neural Network. Helga Jordão (IST), Amilcar Soares (IST). 

11:40 - 12:00 - A predictive model of drought Severity. A case study of Southern Portugal. A. Miguel Gomes (IST), Cristina Meira (ISEP), A. Soares (IST).

12:00 - 12:20 - Uncertainty assessment by using multi-solution approach in inverse problems. J.L. Alves (UFRGS), J.F. Costa (UFRGS), A. Soares (IST).

12:20 - 12:40 - Discussion

12:45 Lunch