The analysis of the spatio-temporal changes and prediction of built-up lands and urban heat islands using multi-temporal satellite imagery

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 103, P. 105231 - 105231

Published: Jan. 24, 2024

Language: Английский

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Spatiotemporal analysis of urban expansion, land use dynamics, and thermal characteristics in a rapidly growing megacity using remote sensing and machine learning techniques

Theoretical and Applied Climatology, Journal Year: 2025, Volume and Issue: 156(2)

Published: Jan. 10, 2025

Language: Английский

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How does 2D and 3D of urban morphology affect the seasonal land surface temperature in Island City? A block-scale perspective

Ecological Indicators, Journal Year: 2023, Volume and Issue: 150, P. 110221 - 110221

Published: April 8, 2023

The global climate warming caused by urbanization has significantly affected the urban environment. Whilst land surface temperature (LST) is an important factor reflecting temperature, previous research on LST mostly focused two-dimensional (2D) factors and rarely mentioned about role of three-dimensional (3D) factors, particularly variation characteristics island cities. Therefore, this study examined seasonal analyzing impact 2D 3D morphology different block types in Xiamen Island. main results are as follows. First, compact low layer (CL), a type with higher density low-rise buildings, any season. Under same (BD), average height (BH), lower LST. Second, among normalized difference vegetation index (NDVI) was for cities to reduce LST, especially summer, while built-up (NDBI) opposite. Different from cities, we found positive correlation between modified water body (MNDWI) autumn winter. Third, sky view (SVF) positively correlated building fluctuation (BF) negatively correlated. SVF, worse radiation shielding effect buildings. On contrary, BF, undulation, better shielding. These findings should provide some quantitative insights future construction planning which can be used improve thermal environment support sustainable development

Language: Английский

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Assessing the Cooling Effect of Blue-Green Spaces: Implications for Urban Heat Island Mitigation

Water, Journal Year: 2023, Volume and Issue: 15(16), P. 2983 - 2983

Published: Aug. 18, 2023

The Urban Heat Island (UHI) effect is a significant concern in today’s rapidly urbanising cities, with exacerbating heatwaves’ impact, urban livelihood, and environmental well-being. This study aims to assess the cooling of blue-green spaces Bhubaneswar, India, explore their implications for mitigating UHI effects. Satellite images were processed Google Earth Engine (GEE) produce information on spaces’ land surface temperatures (LST). Normalised Difference Vegetation Index (NDVI) Modified Water (MNDWI) employed quantify presence characteristics these spaces. findings revealed spatial variations LST, higher observed bare built-up areas lower proximity In addition, correlation analysis indicated strong influence index (NDBI) emphasising impact urbanisation local climate dynamics. demonstrated potential reducing Based results, strategic interventions proposed, such as increasing coverage green spaces, optimising access water bodies, integrating water-sensitive design principles into planning enhance effects foster more sustainable resilient environment. highlighted importance leveraging remote sensing GEE analyses. It provides valuable insights policymakers planners prioritise nature-based solutions heat mitigation Bhubaneswar other similar cities. Future research could delve deeper quantitative assessment benefits specific infrastructure socio-economic impacts communities.

Language: Английский

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Temporal Variations in Land Surface Temperature within an Urban Ecosystem: A Comprehensive Assessment of Land Use and Land Cover Change in Kharkiv, Ukraine

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(9), P. 1637 - 1637

Published: May 3, 2024

Remote sensing technologies are critical for analyzing the escalating impacts of global climate change and increasing urbanization, providing vital insights into land surface temperature (LST), use cover (LULC) changes, identification urban heat island (UHI) (SUHI) phenomena. This research focuses on nexus between LULC alterations variations in LST air (Tair), with a specific emphasis intensified SUHI effect Kharkiv, Ukraine. Employing an integrated approach, this study analyzes time-series data from Landsat MODIS satellites, alongside Tair records, utilizing machine learning techniques linear regression analysis. Key findings indicate statistically significant upward trend during summer months 1984 to 2023, notable positive correlation across both datasets. exhibit stronger (R2 = 0.879) compared 0.663). The application supervised classification through Random Forest algorithms vegetation indices reveals alterations: 70.3% increase decrement vegetative comprising 15.5% reduction dense 62.9% decrease sparse vegetation. Change detection analysis elucidates 24.6% conversion land, underscoring pronounced trajectory towards urbanization. Temporal seasonal different classes were analyzed using kernel density estimation (KDE) boxplot Urban areas had smallest average fluctuations, at 2.09 °C 2.16 °C, respectively, but recorded most extreme values. Water exhibited slightly larger fluctuations 2.30 2.24 bare class showing highest fluctuation 2.46 fewer extremes. Quantitative Kolmogorov-Smirnov tests various substantiated normality distributions p > 0.05 monthly annual Conversely, Shapiro-Wilk test validated normal distribution hypothesis exclusively data, indicating deviations data. Thresholded classifies lands as warmest 39.51 38.20 water 35.96 35.52 37.71 coldest, which is that consistent annually monthly. effects demonstrates UHI intensity, statistical trends growth values over time. comprehensive underscores role remote understanding addressing urbanization local climates, emphasizing need sustainable planning green infrastructure mitigate effects.

Language: Английский

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A comprehensive review of navigating urbanization induced climate change complexities for sustainable groundwater resources management in the Indian subcontinent

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 25, P. 101115 - 101115

Published: Feb. 11, 2024

Language: Английский

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Land use Transition and Ecological Consequences: A Spatiotemporal Analysis in South-Eastern Bangladesh

Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Language: Английский

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“Investigating and mapping day-night urban heat island and its driving factors using Sentinel/MODIS data and Google Earth Engine. Case study: Greater Cairo, Egypt”

Urban Climate, Journal Year: 2023, Volume and Issue: 52, P. 101729 - 101729

Published: Oct. 27, 2023

Language: Английский

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Leveraging Machine Learning for Analyzing the Nexus Between Land Use and Land Cover Change, Land Surface Temperature And Biophysical Indices in an Eco-Sensitive Region of Brahmani-Dwarka Interfluve

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 102854 - 102854

Published: Sept. 1, 2024

Language: Английский

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Modeling the impact of urban land cover features and changes on the land surface temperature (LST): The case of Jordan

Ain Shams Engineering Journal, Journal Year: 2023, Volume and Issue: 15(2), P. 102359 - 102359

Published: July 18, 2023

Higher land surface temperature (LST) in cities than their surrounding areas presents a major sustainability challenge for cities. Decision-makers and planners use the LST measurements to monitor urban environment reduce climate's main challenges. Therefore, there is an urgent need examine impacts of features changes on LST. This study focused relationship between impact these during different periods. Although set studies explored landscape LST, several aspects still further discussion. Here, aims explore influence cover patterns two (Amman Zarqa) Jordan, identify which (vegetation cover, built-up population density) has most effective values. this paper first about its relations with Jordan. used mixed method approach using quantitative (GIS) qualitative (comparative case studies). revealed that important affecting values were: (1) Population density; (2) Built-up; (3) Vegetation, descending order from strongest least effective. It also concluded city density high, effect as high possible positive more medium low density. As low, vegetation greater, can be contributes improving planners' policymakers' suitable future decisions making sustainable

Language: Английский

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