Machine Learning-Based Modeling of Air Temperature in the Complex Environment of Yerevan City, Armenia

Machine Learning-Based Modeling of Air Temperature in the Complex Environment of Yerevan City, Armenia

Machine learning (ML) was used to assess and predict urban air temperature (T<sub>air</sub>) considering the complexity of the terrain features in Yerevan (Armenia). The estimation was performed based on the Partial Least-Squares Regression (PLSR) model with a high number (30) of input v...

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Bibliographic Details
Main Authors: Garegin Tepanosyan, Shushanik Asmaryan, Vahagn Muradyan, Rima Avetisyan, Azatuhi Hovsepyan, Anahit Khlghatyan, Grigor Ayvazyan, Fabio Dell’Acqua
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Remote Sensing
Subjects:
urban air temperature
land surface temperature
multiple independent variables
urban heat
remote sensing data
machine learning (ML)
Online Access:https://www.mdpi.com/2072-4292/15/11/2795

Internet

https://www.mdpi.com/2072-4292/15/11/2795

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