Enhancing Urban Heat Island Analysis Through Multisensor Data Fusion and GRU-Based Deep Learning Approaches for Climate Modeling

Enhancing Urban Heat Island Analysis Through Multisensor Data Fusion and GRU-Based Deep Learning Approaches for Climate Modeling

Rapid urbanization and land-use changes have exacerbated the urban heat island (UHI) effect, threatening urban sustainability and climate resilience. This study uses a novel gated recurrent unit (GRU)-based deep learning model in addition to the Mann–Kendall trend, Pearson correlation, an...

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Bibliographic Details
Main Authors: Ning Tang, Muhammad Farhan, Pir Mohammad, M. Abdullah-Al-Wadud, Saddam Hussain, Umair Hamza, Rana Muhammad Zulqarnain, Nazih Yacer Rebouh
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning
gated recurrent unit (GRU)-based modeling
normalized difference vegetation index (NDVI)
urban heat island (UHI)
wavelet coherence
Online Access:https://ieeexplore.ieee.org/document/10938603/
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https://ieeexplore.ieee.org/document/10938603/

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