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Found 3 papers, 1 papers with code
Using Multi-Temporal Sentinel-1 and Sentinel-2 data for water bodies mapping
Climate change is intensifying extreme weather events, causing both water scarcity and severe rainfall unpredictability, and posing threats to sustainable development, biodiversity, and access to water and sanitation.
Estimation of Ground NO2 Measurements from Sentinel-5P Tropospheric Data through Categorical Boosting
This study aims to analyse the Nitrogen Dioxide (NO2) pollution in the Emilia Romagna Region (Northern Italy) during 2019, with the help of satellite retrievals from the Sentinel-5P mission of the European Copernicus Programme and ground-based measurements, obtained from the ARPA site (Regional Agency for the Protection of the Environment).
Learning for Online Mixed-Integer Model Predictive Control with Parametric Optimality Certificates
We propose a supervised learning framework for computing solutions of multi-parametric Mixed Integer Linear Programs (MILPs) that arise in Model Predictive Control.
