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...
محفوظ في:
| المؤلفون الرئيسيون: | , , |
|---|---|
| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
MDPI AG
2025-10-01
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| سلاسل: | Remote Sensing |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.mdpi.com/2072-4292/17/21/3520 |
| الوسوم: |
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