Day and night: Impact of 2D/3D urban features on land surface temperature and their spatiotemporal non-stationary relationships in urban building spaces

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 108, P. 105507 - 105507

Published: May 6, 2024

Language: Английский

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Geo-spatial analysis of urbanization and environmental changes with deep neural networks: Insights from a three-decade study in Kerch peninsula

Ecological Informatics, Journal Year: 2024, Volume and Issue: 80, P. 102513 - 102513

Published: Feb. 7, 2024

This study presents a comprehensive analysis of land use and cover (LULC) changes on the Kerch Peninsula over last thirty years, utilizing advanced satellite data spatial modeling techniques. The research used Landsat 5, 7 8 images to capture intricate dynamics LULC from 1990 2020. A quantitative approach was adopted, involving convolutional neural networks (CNN) for enhanced classification accuracy. methodology allowed detailed precise identification various classes, revealing significant trends transformations in region's landscape. incorporated this exploration both large-scale patterns localized changes, providing insights into drivers consequences dynamics. statistical revealed notable increase urbanized areas, coupled with decline natural ecosystems such as forests wetlands. These reflect impact sustained urban growth agricultural expansion, underscoring need informed management conservation strategies. findings contribute understanding urbanization processes their ecological implications, valuable guidance sustainable regional planning environmental protection.

Language: Английский

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Study on the contributions of 2D and 3D urban morphologies to the thermal environment under local climate zones

Building and Environment, Journal Year: 2024, Volume and Issue: 263, P. 111883 - 111883

Published: July 25, 2024

Language: Английский

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Human-perceived temperature changes linked to local climate zones under extreme hot and cold weathers: A study in the North China Plain

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106201 - 106201

Published: Feb. 1, 2025

Language: Английский

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Global patterns and determinants of year-to-year variations in surface urban heat islands

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2025, Volume and Issue: 223, P. 399 - 412

Published: March 29, 2025

Language: Английский

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Identification of Key Drivers of Land Surface Temperature Within the Local Climate Zone Framework

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 771 - 771

Published: April 3, 2025

The surface urban heat island (SUHI) effect, driven by human activities and land cover changes, leads to elevated temperatures in areas, posing challenges sustainability, public health, environmental quality. While SUHI drivers at large scales are well-studied, finer-scale thermal variations remain underexplored. This study employed the Local Climate Zones (LCZs) framework analyze temperature (LST) dynamics Zhengzhou, China. Using 2022 mean LST data derived from a single-channel algorithm, combined with field surveys remote sensing techniques, we examined 30 potential driving factors spanning natural anthropogenic conditions. Results show that built-type LCZs had higher average LSTs (31.10 °C) compared non-built (28.91 °C), showing greater variability (10.48 °C vs. 6.76 °C). Among five major factor categories, landscape pattern indices dominated LCZs, accounting for 44.5% of variation, while Tasseled Cap Transformation indices, particularly brightness, drove 42.8% variation non-built-type LCZs. Partial dependence analysis revealed wetness fragmentation reduce whereas GDP, imperviousness, cohesion increase it. In population density, connectivity, brightness raise LST, atmospheric dryness provide cooling effects. These findings highlight need LCZ-specific mitigation strategies. Built-type require form optimization, enhanced expanded green infrastructure accumulation. Non-built benefit maintaining soil moisture, addressing dryness, optimizing vegetation configurations. provides actionable insights sustainable environment management resilience.

Language: Английский

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Seasonal Spatiotemporal Dynamics and Gradients of the Urban Heat Island Effect in Subtropical Furnace Megacity

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 3238 - 3238

Published: April 5, 2025

Urban heat island (UHI) effect significantly influences the urban sustainability and health of cities varies seasonally. However, spring autumn have received less attention. Furthermore, research on long-term seasonal UHI changes impacts is insufficient. This study examines spatiotemporal dynamics gradient characteristics in spring, summer, autumn, winter Changsha, a typical subtropical “furnace city” from 2006 to 2022. (1) Spatiotemporal dynamics: The high-temperature (relatively zone zone) range expands most least autumn. Additionally, migrates northward within area, proximity core results multiple effects. (2) Gradient characteristics: proportion decreases varying degrees 5 km central point, but increases 6–8 11–13 gradients, especially 8 aggregation index (AI), contagion (CONTAG), largest patch (LPI) decreased, with patches more affected by these metrics Overall, this offers new insights into effects development UHI, which are crucial for addressing climate change, promoting sustainability, improving human well-being.

Language: Английский

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Evaluating urban–rural gradients and urban forms in metropolitan areas: a local climate zone approach with future spatial simulation

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 112, P. 105636 - 105636

Published: July 2, 2024

Language: Английский

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Seasonal variation in vegetation cooling effect and its driving factors in a subtropical megacity

Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112065 - 112065

Published: Sept. 1, 2024

Language: Английский

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A holistic exploration local climate zoning through land use and land cover values: Tehran’s urban climate tapestry

Theoretical and Applied Climatology, Journal Year: 2024, Volume and Issue: 155(12), P. 9783 - 9797

Published: Oct. 25, 2024

Language: Английский

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