crossrefRemote Sensing2025-01-29Cited by 2
A Machine Learning Algorithm to Convert Geostationary Satellite LST to Air Temperature Using In Situ Measurements: A Case Study in Rome and High-Resolution Spatio-Temporal UHI Analysis
Andrea Cecilia, Giampietro Casasanta, Igor Petenko, Stefania Argentini
Air temperature (Ta) measurements are crucial for characterizing phenomena like the urban heat island (UHI), which can create critical conditions in cities during summer. This study aims to develop a machine learning-based model, namely gradient boosting, to estimate Ta from geos…