Understanding the role of urban features in land surface temperature at the block scale: A diurnal cycle perspective

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 111, P. 105588 - 105588

Published: June 12, 2024

Language: Английский

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Unveiling nonlinear effects of built environment attributes on urban heat resilience using interpretable machine learning

Urban Climate, Journal Year: 2024, Volume and Issue: 56, P. 102046 - 102046

Published: June 28, 2024

Language: Английский

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Quantifying the cooling effect and benefits of urban parks: A case study of Hangzhou, China

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105706 - 105706

Published: July 26, 2024

Language: Английский

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Reconstructing daytime and nighttime MODIS land surface temperature in desert areas using multi-channel singular spectrum analysis

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102830 - 102830

Published: Sept. 1, 2024

Language: Английский

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Patterns and drivers of surface cooling effect of urban trees across global cities

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 967, P. 178811 - 178811

Published: Feb. 12, 2025

Language: Английский

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Exploring key characteristics of performance indicators for green infrastructure assessment

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 969, P. 178819 - 178819

Published: Feb. 27, 2025

Language: Английский

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Decoding the cooling potential of urban green spaces: A cross-city investigation of driving factors in 311 Chinese cities under varying climate zones

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106410 - 106410

Published: April 1, 2025

Language: Английский

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Assessment of vertical cooling performance of trees over different surface covers

Journal of Thermal Biology, Journal Year: 2023, Volume and Issue: 119, P. 103779 - 103779

Published: Dec. 25, 2023

Language: Английский

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Mapping the Influence of Olympic Games’ Urban Planning on the Land Surface Temperatures: an Estimation Using Landsat Series and Google Earth Engine

Published: July 27, 2024

The Olympic Games are a sporting event and catalyst for urban development in the host city. In this study, we utilized remote sensing GIS techniques to examine impact of infrastructure on surface temperature areas. Using Landsat Series Collection 2 Tier 1 Level data, cloud computing, Google Earth Engine (GEE) methods, study examines effects various facility planning different historical moments location typologies: monocentric, polycentric, peripheric clustered ring. GEE code applies from Paris’24 Munich’72. However, paper focuses specifically representative cases Paris’24, Tokyo’20, Rio’16, Beijing’08, Sydney’00, Barcelona’92, Seoul’88, Montreal’76. is not only concerned with obtaining absolute Land Surface Temperatures (LST), but rather relative influence mega-event infrastructures mitigating or increasing heat. As such, locally Normalized Temperature (NLST) was purpose. some cities (Paris, Tokyo, Beijing, Barcelona), it identified that has resulted green spaces, creating "green spots" contribute lower-than-average temperatures. should be noted there significant variation within intensely built-up areas, such as villages surrounding areas stadium, which can become “hotspots”. Therefore, important acknowledge typologies have varying impacts city heat islands, polycentric ring displaying effect. This research contributes computing method updated future adapted other mega-events utilizes widely available data source specific context.

Language: Английский

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Unveiling Nonlinear Effects of Built Environment Attributes on Urban Heat Resilience Using Interpretable Machine Learning

Published: Jan. 1, 2024

Language: Английский

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