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Nadia Hasen Rassas on Muck Rack

Nadia Hasen Rassas

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Articles

A transferable machine learning framework integrating multi-dimensional vegetation thresholds to predict green infrastructure cooling efficacy in arid urban areas

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By Abdulrahman Abdulaziz Majrashi, Faizah Mohammed Bashir, Mohammed Alzahrani, Zahra Andleeb, Matusal Lamaro Lagebo, Yohannes Mehari Andiye, Nadia Hasen Rassas
| Nature Verified
Abstract Urban overheating, which affects more than two billion people, is a growing problem for cities in arid and semi-arid regions. The majority of current research relies on two-dimensional satellite indices like Normalized Difference Vegetation Index (NDVI), which do not capture the vertical vegetation structures that shape thermal comfort at street level, despite the fact that urban greening has demonstrated promise as a cooling strategy.
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