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Assessing Greenspace Cooling Efficiency Dynamics and Land-Use/Land-Cover in Central Plains Urban Agglomerations, China

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inferredcites →https://doi.org/10.1007/s10980-017-0561-4openalex-extracted
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inferredcites →https://doi.org/10.1007/s11069-015-1627-8openalex-extracted
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inferredcites →https://doi.org/10.1007/s11252-013-0325-0openalex-extracted
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inferredcites →https://doi.org/10.1016/j.buildenv.2011.04.034openalex-extracted
The cooling effect of green spaces as a contribution to the mitigation of urban heat: A case study in Lisbon
inferredcites →https://doi.org/10.1016/j.buildenv.2014.03.003openalex-extracted
The cooling effect of urban green spaces as a contribution to energy-saving and emission-reduction: A case study in Beijing, China
inferredcites →https://doi.org/10.1016/j.buildenv.2022.109441openalex-extracted
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Regional thermal environments (RTEs) and driving forces in six urban agglomerations of China and America
inferredcites →https://doi.org/10.1016/j.cities.2016.05.012openalex-extracted
Land use dynamics and policy implications in Central China: A case study of Zhengzhou
inferredcites →https://doi.org/10.1016/j.csda.2007.08.015openalex-extracted
Empirical characterization of random forest variable importance measures
inferredcites →https://doi.org/10.1016/j.ecolind.2014.05.002openalex-extracted
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inferredcites →https://doi.org/10.1016/j.eiar.2015.10.004openalex-extracted
An energy and mortality impact assessment of the urban heat island in the US
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Three decades of urban heat islands and mitigation technologies research
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Urban ecological land and natural-anthropogenic environment interactively drive surface urban heat island: An urban agglomeration-level study in China
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Exploring pathways linking greenspace to health: Theoretical and methodological guidance
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Significant effects of ecological context on urban trees’ cooling efficiency
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Promoting ecosystem and human health in urban areas using Green Infrastructure: A literature review
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Urban greening to cool towns and cities: A systematic review of the empirical evidence
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Does spatial configuration matter? Understanding the effects of land cover pattern on land surface temperature in urban landscapes
inferredcites →https://doi.org/10.1016/j.landurbplan.2013.02.005openalex-extracted
Relationship between land surface temperature and spatial pattern of greenspace: What are the effects of spatial resolution?
inferredcites →https://doi.org/10.1016/j.landurbplan.2014.10.018openalex-extracted
Planning for cooler cities: A framework to prioritise green infrastructure to mitigate high temperatures in urban landscapes
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Landscape metrics in assessing how the configuration of urban green spaces affects their cooling effect: A systematic review of empirical studies
inferredcites →https://doi.org/10.1016/j.landusepol.2017.10.010openalex-extracted
Farmland transition and its influences on grain production in China
inferredcites →https://doi.org/10.1016/j.rse.2011.07.008openalex-extracted
Impacts of landscape structure on surface urban heat islands: A case study of Shanghai, China
inferredcites →https://doi.org/10.1016/j.rse.2015.11.027openalex-extracted
Urban thermal environment dynamics and associated landscape pattern factors: A case study in the Beijing metropolitan region
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Influence of a large urban park on the local urban thermal environment
inferredcites →https://doi.org/10.1016/j.scitotenv.2018.04.105openalex-extracted
Spatial-temporal change of land surface temperature across 285 cities in China: An urban-rural contrast perspective
inferredcites →https://doi.org/10.1016/j.scitotenv.2020.138182openalex-extracted
Using green to cool the grey: Modelling the cooling effect of green spaces with a high spatial resolution
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Decoupling analysis between economic growth and resources environment in Central Plains Urban Agglomeration
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Impacts of the evolving urban development on intra-urban surface thermal environment: Evidence from 323 Chinese cities
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Scale dependence of urban green space cooling efficiency: A case study in Beijing metropolitan area
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Estimating the cooling potential of irrigating green spaces in 100 global cities with arid, temperate or continental climates
inferredcites →https://doi.org/10.1016/j.scs.2022.103710openalex-extracted
Influence of spatiotemporal changes of impervious surface on the urban thermal environment: A case of Huai'an central urban area
inferredcites →https://doi.org/10.1016/j.scs.2022.103977openalex-extracted
Carbon footprint and embodied carbon transfer at city level: A nested MRIO analysis of Central Plain urban agglomeration in China
inferredcites →https://doi.org/10.1016/j.scs.2023.104464openalex-extracted
Socioeconomic disparities in cooling and warming efficiencies of urban vegetation and impervious surfaces
inferredcites →https://doi.org/10.1016/j.uclim.2017.05.002openalex-extracted
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Critical review on the cooling effect of urban blue-green space: A threshold-size perspective
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A Prolonged Artificial Nighttime-light Dataset of China (1984-2020)
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The Effects of Extreme Heat on Human Mortality and Morbidity in Australia: Implications for Public Health
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MODIS/Terra Vegetation Indices Monthly L3 Global 1km SIN Grid V061
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