Date: June 6th
Hour: 9.30 a.m. to 12.45 p.m.
Venue: Room I5, Mining Engineering Building, Alameda campus
More information: Registration I Email: elisapirescosta@tecnico.ulisboa.pt I Abstracts I 2022 edition
«The Centro de Recursos Naturais e Ambiente (CERENA) is pleased to announce a seminar on Spatial Data Science, on June 6th, 2024.
The methods of spatial data science are now an essential part of the core business of major technology companies such as Google, Uber, and Amazon, or integrated into a wide range of businesses through SDS apps (Safety Data Sheets applications) – some examples include Meight Driver, Passworks, Hole19, GIRA.
Participation is free of charge, but prior registration is required.»
Programme
- 9.30 a.m.
Welcome Session - 9.40 a.m. – 10 a.m.
Large Language Models for Captioning and Retrieving Remote Sensing Images
João Daniel Silva (IST), João Magalhães (IST), Devis Tuia (IST), Bruno Martins (IST) - 10 a.m. – 10.20 a.m.
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 a.m. – 10.40 a.m.
Space-time characterization of fire-related air pollutants over Portugal
Rita Durão (IPMA), Célia Gouveia (IPMA), Madalena Simões (IPMA), André Brito (IPMA) and Ana Russo (FCUL) - 10.40 a.m. – 11 a.m.
Debate - 11 a.m. – 11.20 a.m.
Coffee Break - 11.20 a.m. -11.40 a.m.
Exploring the uncertainty of landslide susceptibility via a Probabilistic Neural Network
Helga Jordão (IST), Amilcar Soares (IST) - 11.40 a.m. – 12 p.m.
A Predictive Model of Drought Severity. A Case Study of Southern of Portugal
A. Miguel Gomes (IST), Cristina Meira (ISEP), A. Soares (IST) - 12 p.m. – 12.20 p.m.
Uncertainty Assessment by using a Multi-Solution approach in inverse problems
J.L. Alves (UFRGS), J.F. Costa (UFRGS), Amílcar Soares (IST) - 12.20 p.m. – 12.40 p.m.
Debate - 12.45 p.m.
Lunch
