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FE-KFormer: A keypoint-informed transformer model for quantifying the nonlinear cooling effects of urban green space | Synapse
March 3, 2026
FE-KFormer: A keypoint-informed transformer model for quantifying the nonlinear cooling effects of urban green space
YD
Yaxing Du
China Meteorological Administration
CZ
Changhao Zhou
JH
Jiajia Hua
China Meteorological Administration
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Key Points
Keypoint-informed transformer model quantifies the nonlinear cooling effects of urban green spaces.
Temperature reductions of up to 3.5°C were measured across a variety of urban settings to assess impact.
Assessment using the keypoint-informed transformer model enabled better understanding of urban heat mitigation.
Findings indicate a promising tool for climate adaptation strategies related to urban design and planning.
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Du et al. (Tue,) studied this question.
synapsesocial.com/papers/69a760b9c6e9836116a2dc10
https://doi.org/https://doi.org/10.1016/j.buildenv.2026.114323
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