Research graph
References from Budgeting urban tree canopy expansion for cooling-benefit equality: A graph neural network-based multi-objective framework. Local targets link to admitted publications; unresolved targets remain external evidence.
Spatial configuration and time of day impact the magnitude of urban tree canopy cooling
10.1088/1748-9326/ac12f2 · 2021 · External reference
Where to plant urban trees? A spatially explicit methodology to explore ecosystem service tradeoffs
10.1016/j.landurbplan.2016.08.016 · 2017 · External 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 · 2024 · External reference
Long-term impacts of heatwaves on accelerated ageing
10.1038/s41558-025-02407-w · 2025 · External 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 · 2024 · External reference
Neighboring matters: Quantifying internal morphology and external spatial interactions on land surface temperature among urban functional zones
10.1016/j.scs.2025.106689 · 2025 · External reference
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LCZ generator: A web application to create local climate zone maps
10.3389/fenvs.2021.637455 · 2021 · External reference
Neighborhood-scale reductions in heatwave burden projected under a 30% minimum tree cover scenario
10.1038/s42949-025-00219-7 · 2025 · External reference
Quantifying the impact of urban trees on land surface temperature in global cities
10.1016/j.isprsjprs.2024.03.007 · 2024 · External reference
Disproportionate exposure to urban heat island intensity across major US cities
10.1038/s41467-021-22799-5 · 2021 · External reference
Urban tree cover provides consistent mitigation of extreme heat in arid but not humid cities
10.1016/j.scs.2024.105677 · 2024 · External reference
Cooling cities through urban green infrastructure: A health impact assessment of European cities
10.1016/s0140-6736(22)02585-5 · 2023 · External reference
Evidence-based guidelines for greener, healthier, more resilient neighbourhoods: introducing the 3–30–300 rule
10.1007/s11676-022-01523-z · 2023 · External reference
World map of the Köppen-Geiger climate classification updated
10.1127/0941-2948/2006/0130 · 2006 · External 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 · 2024 · External reference
Interannual variability and spatial diversification of global urban tree cooling effects
10.1016/j.envint.2024.109044 · 2024 · External reference
Cooling efficacy of trees across cities is determined by background climate, urban morphology, and tree trait
10.1038/s43247-024-01908-4 · 2024 · External reference
Mapping global urban boundaries from the global artificial impervious area (GAIA) data
10.1088/1748-9326/ab9be3 · 2020 · External reference
Green spaces provide substantial but unequal urban cooling globally
10.1038/s41467-024-51355-0 · 2024 · External 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 · 2025 · External reference
Satellite mapping of every building’s function in urban China reveals deep built environment disparities
2026 · External reference
Towards human-centric digital twins: Leveraging computer vision and graph models to predict outdoor comfort
10.1016/j.scs.2023.104480 · 2023 · External 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 · 2025 · External reference
Residential housing segregation and urban tree canopy in 37 US cities
10.1038/s42949-021-00022-0 · 2021 · External reference
Machine learning application in investigating cooling effect of Urban Blue–Green infrastructure: A systematic review
10.3390/technologies14020105 · 2026 · External reference
Distributional inequities in tree density, size, and species diversity in 32 Canadian cities
10.1038/s42949-025-00210-2 · 2025 · External reference
Current inequality and future potential of US urban tree cover for reducing heat-related health impacts
10.1038/s42949-024-00150-3 · 2024 · External reference
Trees halve urban heat island effect globally but unequal benefits only modestly mitigate climate-change warming
10.1038/s41467-026-71825-x · 2026 · External reference
Unresolved reference
2022 · External reference
A multi-objective decision support framework to prioritize tree planting locations in urban areas
10.1016/j.landurbplan.2021.104172 · 2021 · External 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 · 2025 · External reference
Local climate zones for urban temperature studies
10.1175/bams-d-11-00019.1 · 2012 · External reference
How are cities planning for heat? Analysis of United States municipal plans
10.1088/1748-9326/ac73a9 · 2022 · External reference
Unresolved reference
2021 · External reference
Mitigation of urban heat island in China (2000−2020) through vegetation-induced cooling
10.1016/j.scs.2024.105599 · 2024 · External reference
Revealing the impact of urban land use patterns on land surface temperature through graph attention networks
10.1016/j.scs.2025.106369 · 2025 · External reference
Estimating near-surface air temperature in urban functional zones in China using spatial-temporal attention
10.1016/j.buildenv.2025.112860 · 2025 · External reference
Towards multi-scale and context-specific heat health risk assessment—A systematic review
10.1016/j.scs.2024.106102 · 2025 · External reference
Street-level temperature estimation using graph neural networks: Performance, feature embedding and interpretability
10.1016/j.uclim.2024.102003 · 2024 · External 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 · 2023 · External reference
Community-level education percentile rank estimation in China using multi-source big data and machine learning
10.1038/s41597-026-06664-y · 2026 · External reference
Satellite-based evidence highlights a considerable increase of urban tree cooling benefits from 2000 to 2015
10.1111/gcb.16667 · 2023 · External reference
Who are marginalized? Unequal distribution of urban street shading in Shanghai
10.1016/j.buildenv.2025.113361 · 2025 · External reference
Evaluating neighbouring environmental impacts on land surface thermal dynamics across urban–rural local climate zones
10.1016/j.buildenv.2025.113994 · 2026 · External reference
Urban tree canopy has greater cooling effects in socially vulnerable communities in the US
10.1016/j.oneear.2021.11.010 · 2021 · External reference
Evidence-based guidelines for greener, healthier, more resilient neighbourhoods: introducing the 3–30–300 rule
10.1007/s11676-022-01523-z · ExternalCitation · 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 · ExternalCitation · doi-reference
Estimating near-surface air temperature in urban functional zones in China using spatial-temporal attention
10.1016/j.buildenv.2025.112860 · ExternalCitation · doi-reference
Who are marginalized? Unequal distribution of urban street shading in Shanghai
10.1016/j.buildenv.2025.113361 · ExternalCitation · doi-reference
Evaluating neighbouring environmental impacts on land surface thermal dynamics across urban–rural local climate zones
10.1016/j.buildenv.2025.113994 · ExternalCitation · doi-reference
Interannual variability and spatial diversification of global urban tree cooling effects
10.1016/j.envint.2024.109044 · ExternalCitation · doi-reference
Quantifying the impact of urban trees on land surface temperature in global cities
10.1016/j.isprsjprs.2024.03.007 · ExternalCitation · 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 · ExternalCitation · doi-reference
Where to plant urban trees? A spatially explicit methodology to explore ecosystem service tradeoffs
10.1016/j.landurbplan.2016.08.016 · ExternalCitation · doi-reference
A multi-objective decision support framework to prioritize tree planting locations in urban areas
10.1016/j.landurbplan.2021.104172 · ExternalCitation · 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 · ExternalCitation · doi-reference
Urban tree canopy has greater cooling effects in socially vulnerable communities in the US
10.1016/j.oneear.2021.11.010 · ExternalCitation · 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 · ExternalCitation · doi-reference
Towards human-centric digital twins: Leveraging computer vision and graph models to predict outdoor comfort
10.1016/j.scs.2023.104480 · ExternalCitation · doi-reference
Mitigation of urban heat island in China (2000−2020) through vegetation-induced cooling
10.1016/j.scs.2024.105599 · ExternalCitation · doi-reference
Urban tree cover provides consistent mitigation of extreme heat in arid but not humid cities
10.1016/j.scs.2024.105677 · ExternalCitation · doi-reference
Towards multi-scale and context-specific heat health risk assessment—A systematic review
10.1016/j.scs.2024.106102 · ExternalCitation · doi-reference
Revealing the impact of urban land use patterns on land surface temperature through graph attention networks
10.1016/j.scs.2025.106369 · ExternalCitation · 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 · ExternalCitation · 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 · ExternalCitation · doi-reference
Street-level temperature estimation using graph neural networks: Performance, feature embedding and interpretability
10.1016/j.uclim.2024.102003 · ExternalCitation · doi-reference
Cooling cities through urban green infrastructure: A health impact assessment of European cities
10.1016/s0140-6736(22)02585-5 · ExternalCitation · 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 · ExternalCitation · doi-reference
Disproportionate exposure to urban heat island intensity across major US cities
10.1038/s41467-021-22799-5 · ExternalCitation · doi-reference
Green spaces provide substantial but unequal urban cooling globally
10.1038/s41467-024-51355-0 · ExternalCitation · doi-reference
Trees halve urban heat island effect globally but unequal benefits only modestly mitigate climate-change warming
10.1038/s41467-026-71825-x · ExternalCitation · doi-reference
Long-term impacts of heatwaves on accelerated ageing
10.1038/s41558-025-02407-w · ExternalCitation · doi-reference
Community-level education percentile rank estimation in China using multi-source big data and machine learning
10.1038/s41597-026-06664-y · ExternalCitation · doi-reference
Residential housing segregation and urban tree canopy in 37 US cities
10.1038/s42949-021-00022-0 · ExternalCitation · doi-reference
Current inequality and future potential of US urban tree cover for reducing heat-related health impacts
10.1038/s42949-024-00150-3 · ExternalCitation · doi-reference
Distributional inequities in tree density, size, and species diversity in 32 Canadian cities
10.1038/s42949-025-00210-2 · ExternalCitation · doi-reference
Neighborhood-scale reductions in heatwave burden projected under a 30% minimum tree cover scenario
10.1038/s42949-025-00219-7 · ExternalCitation · doi-reference
Cooling efficacy of trees across cities is determined by background climate, urban morphology, and tree trait
10.1038/s43247-024-01908-4 · ExternalCitation · doi-reference
Mapping global urban boundaries from the global artificial impervious area (GAIA) data
10.1088/1748-9326/ab9be3 · ExternalCitation · doi-reference
Spatial configuration and time of day impact the magnitude of urban tree canopy cooling
10.1088/1748-9326/ac12f2 · ExternalCitation · doi-reference
How are cities planning for heat? Analysis of United States municipal plans
10.1088/1748-9326/ac73a9 · ExternalCitation · doi-reference
Satellite-based evidence highlights a considerable increase of urban tree cooling benefits from 2000 to 2015
10.1111/gcb.16667 · ExternalCitation · doi-reference
World map of the Köppen-Geiger climate classification updated
10.1127/0941-2948/2006/0130 · ExternalCitation · doi-reference
Local climate zones for urban temperature studies
10.1175/bams-d-11-00019.1 · ExternalCitation · doi-reference
LCZ generator: A web application to create local climate zone maps
10.3389/fenvs.2021.637455 · ExternalCitation · doi-reference
Machine learning application in investigating cooling effect of Urban Blue–Green infrastructure: A systematic review
10.3390/technologies14020105 · ExternalCitation · 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 · ExternalCitation · doi-reference
