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From the 1 of 4 linked papers with an AI index.

most citedFrom physical surfaces to human-centric heat stress: LST and UTCI heat mapping reveals nonlinear effects of urban morphology

1 citations · 1 across the 1 of their papers we have counts for

collaborators

4 papers

cs.LG20261 cited

From physical surfaces to human-centric heat stress: LST and UTCI heat mapping reveals nonlinear effects of urban morphology

Yuan Wang, Shengao Yi, Xiaojiang Li +4

The paper compares land surface temperature (LST) with the universal thermal climate index (UTCI) to assess human heat stress in Singapore, using high‑resolution satellite data and…

physics.soc-ph2025

Airborne assessment uncovers socioeconomic stratification of urban nature in England

Andrés Camilo Zúñiga-González, Anil Madhavapeddy, Ronita Bardhan

Nature access is increasingly recognised as a public health and equity imperative, yet cities lack standardised ways to measure who benefits from green infrastructure. We present t…

cs.LG2025

Heatwave increases nighttime light intensity in hyperdense cities of the Global South: A double machine learning study

Ramit Debnath, Taran Chandel, Fengyuan Han +1

Heatwaves, intensified by climate change and rapid urbanisation, pose significant threats to urban systems, particularly in the Global South, where adaptive capacity is constrained…

cs.CY2025

NEBULA: A National Scale Dataset for Neighbourhood-Level Urban Building Energy Modelling for England and Wales

Grace Colverd, Ronita Bardhan, Jonathan Cullen

Buildings are significant contributors to global greenhouse gas emissions, accounting for 26% of global energy sector emissions in 2022. Meeting net zero goals requires a rapid red…