Budgeting urban tree canopy expansion for cooling-benefit equality: A graph neural network-based multi-objective framework

Urban tree canopy has greater cooling effects in socially vulnerable communities in the US

10.1016/j.oneear.2021.11.010 · doi-reference

Evaluating neighbouring environmental impacts on land surface thermal dynamics across urban–rural local climate zones

10.1016/j.buildenv.2025.113994 · doi-reference

Who are marginalized? Unequal distribution of urban street shading in Shanghai

10.1016/j.buildenv.2025.113361 · doi-reference

Satellite-based evidence highlights a considerable increase of urban tree cooling benefits from 2000 to 2015

10.1111/gcb.16667 · doi-reference

Community-level education percentile rank estimation in China using multi-source big data and machine learning

10.1038/s41597-026-06664-y · doi-reference

The 2023 China report of the Lancet Countdown on health and climate change: Taking stock for a thriving future

10.1016/s2468-2667(23)00245-1 · doi-reference

Street-level temperature estimation using graph neural networks: Performance, feature embedding and interpretability

10.1016/j.uclim.2024.102003 · doi-reference

Towards multi-scale and context-specific heat health risk assessment—A systematic review

10.1016/j.scs.2024.106102 · doi-reference

Estimating near-surface air temperature in urban functional zones in China using spatial-temporal attention

10.1016/j.buildenv.2025.112860 · doi-reference

Revealing the impact of urban land use patterns on land surface temperature through graph attention networks

10.1016/j.scs.2025.106369 · doi-reference

Mitigation of urban heat island in China (2000−2020) through vegetation-induced cooling

10.1016/j.scs.2024.105599 · doi-reference

How are cities planning for heat? Analysis of United States municipal plans

10.1088/1748-9326/ac73a9 · doi-reference

Local climate zones for urban temperature studies

10.1175/bams-d-11-00019.1 · doi-reference

Spatially-optimized greenspace for more effective urban heat mitigation: Insights from regional cooling heterogeneity via explainable machine learning

10.1016/j.landurbplan.2025.105296 · doi-reference

A multi-objective decision support framework to prioritize tree planting locations in urban areas

10.1016/j.landurbplan.2021.104172 · doi-reference

Trees halve urban heat island effect globally but unequal benefits only modestly mitigate climate-change warming

10.1038/s41467-026-71825-x · doi-reference

Current inequality and future potential of US urban tree cover for reducing heat-related health impacts

10.1038/s42949-024-00150-3 · doi-reference

Distributional inequities in tree density, size, and species diversity in 32 Canadian cities

10.1038/s42949-025-00210-2 · doi-reference

Machine learning application in investigating cooling effect of Urban Blue–Green infrastructure: A systematic review

10.3390/technologies14020105 · doi-reference

Residential housing segregation and urban tree canopy in 37 US cities

10.1038/s42949-021-00022-0 · doi-reference

Exploring the effects of street canyon morphology on LST within different street types using causal inference and machine learning

10.1016/j.scs.2025.106814 · doi-reference

Towards human-centric digital twins: Leveraging computer vision and graph models to predict outdoor comfort

10.1016/j.scs.2023.104480 · doi-reference

Enhanced mapping of essential urban land use categories in China (EULUC-China 2.0): Integrating multimodal deep learning with multisource geospatial data

10.1016/j.scib.2025.07.006 · doi-reference

Green spaces provide substantial but unequal urban cooling globally

10.1038/s41467-024-51355-0 · doi-reference

Mapping global urban boundaries from the global artificial impervious area (GAIA) data

10.1088/1748-9326/ab9be3 · doi-reference

Cooling efficacy of trees across cities is determined by background climate, urban morphology, and tree trait

10.1038/s43247-024-01908-4 · doi-reference

Interannual variability and spatial diversification of global urban tree cooling effects

10.1016/j.envint.2024.109044 · doi-reference

Monitoring the climatic effects of street tree plantation in different urban patterns by synthetic image based BPNN simulations

10.1016/j.buildenv.2024.111173 · doi-reference

World map of the Köppen-Geiger climate classification updated

10.1127/0941-2948/2006/0130 · doi-reference

Evidence-based guidelines for greener, healthier, more resilient neighbourhoods: introducing the 3–30–300 rule

10.1007/s11676-022-01523-z · doi-reference

Cooling cities through urban green infrastructure: A health impact assessment of European cities

10.1016/s0140-6736(22)02585-5 · doi-reference

Urban tree cover provides consistent mitigation of extreme heat in arid but not humid cities

10.1016/j.scs.2024.105677 · doi-reference

Disproportionate exposure to urban heat island intensity across major US cities

10.1038/s41467-021-22799-5 · doi-reference

Quantifying the impact of urban trees on land surface temperature in global cities

10.1016/j.isprsjprs.2024.03.007 · doi-reference

Neighborhood-scale reductions in heatwave burden projected under a 30% minimum tree cover scenario

10.1038/s42949-025-00219-7 · doi-reference

LCZ generator: A web application to create local climate zone maps

10.3389/fenvs.2021.637455 · doi-reference

Neighboring matters: Quantifying internal morphology and external spatial interactions on land surface temperature among urban functional zones

10.1016/j.scs.2025.106689 · doi-reference

A 100 m gridded population dataset of China’s seventh census using ensemble learning and big geospatial data

10.5194/essd-16-3705-2024 · doi-reference

Long-term impacts of heatwaves on accelerated ageing

10.1038/s41558-025-02407-w · doi-reference

Unveiling spatiotemporal tree cover patterns in China: The first 30 m annual tree cover mapping from 1985 to 2023

10.1016/j.isprsjprs.2024.08.001 · doi-reference