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Predicting Air Temperature Patterns in Milan Using Crowdsourced Measurements and Earth Observation Data

High-resolution air temperature (AT) data is essential for understanding urban heat dynamics, particularly in urban areas characterised by complex microclimates. However, AT is rarely available in such detail, emphasising the need for its modelling. This study employs a Random Forest regression fram...

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Principais autores: Matej Žgela, Alberto Vavassori, Maria Antonia Brovelli
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-10-01
coleção:Remote Sensing
Assuntos:
air temperature
crowdsourcing
Earth Observation
interpolation
machine learning
hyperspectral
Acesso em linha:https://www.mdpi.com/2072-4292/17/21/3520
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