A comprehensive systematic review: Impact of Land Use/ Land Cover (LULC) on Land Surface Temperatures (LST) and outdoor thermal comfort

Building and Environment, Journal Year: 2023, Volume and Issue: 249, P. 111130 - 111130

Published: Dec. 21, 2023

Language: Английский

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Spatial and seasonal differences between near surface air temperature and land surface temperature for Urban Heat Island effect assessment

Urban Climate, Journal Year: 2023, Volume and Issue: 52, P. 101745 - 101745

Published: Oct. 30, 2023

Language: Английский

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Urban heat island effect and its drivers in large cities of Pakistan

Theoretical and Applied Climatology, Journal Year: 2024, Volume and Issue: 155(6), P. 5433 - 5452

Published: April 8, 2024

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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Prediction of land surface temperature using spectral indices, air pollutants, and urbanization parameters for Hyderabad city of India using six machine learning approaches

Remote Sensing Applications Society and Environment, Journal Year: 2024, Volume and Issue: 35, P. 101265 - 101265

Published: June 2, 2024

Language: Английский

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How vulnerable are the nesting sites of loggerhead turtles in Cabo Verde?

Regional Environmental Change, Journal Year: 2025, Volume and Issue: 25(1)

Published: Feb. 28, 2025

Language: Английский

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Effectiveness of potential strategies to mitigate surface urban heat island: A comprehensive investigation using high-resolution thermal observations from an unmanned aerial vehicle

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105716 - 105716

Published: July 29, 2024

Language: Английский

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Urban growth’s implications on land surface temperature in a medium-sized European city based on LCZ classification

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 9, 2024

The study determined the influence of changes in land use and cover (LULC) on surface temperature (LST) over a 33-year period based medium-sized European city (Poznań, Poland). LST was estimated from Landsat 5, 8 Terra (MOD11A2v6) satellites. local estimation climate patterns Local Climate Zones (LCZ) classification utilised with methodology proposed by World Urban Database Access Portal Tools (WUDAPT). Moreover, Copernicus' imperviousness density product (IMD) used. Between 2006 2018 area IMD 41-100% increased 6.95 km

Language: Английский

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Unveiling the thermal impact of land cover transformations in Khuzestan province through MODIS satellite remote sensing products

Paddy and Water Environment, Journal Year: 2024, Volume and Issue: 22(4), P. 503 - 520

Published: June 5, 2024

Language: Английский

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Assessing Long-Term Thermal Environment Change with Landsat Time-Series Data in a Rapidly Urbanizing City in China

Land, Journal Year: 2024, Volume and Issue: 13(2), P. 177 - 177

Published: Feb. 2, 2024

The studies of urban heat islands or thermal environments have attracted extensive attention, although there is still a lack research focused on the analysis long-term environment change with fine spatial resolution and actual exposure residents. Taking rapidly urbanizing city Nanjing, China as an example, this study utilizes Landsat-derived daytime time-series land surface temperature data to comprehensively assess city’s (30-year) change. results showed that: (1) overall island intensity noticeable trend first increasing then decreasing from 1990 2020. (2) It exhibited detailed distribution heat/cold within center boundary. percentage was 77.01% in 1990, it increased 85.79% 2010 decreased 80.53% (3) More than 65% residents lived areas greater 3.0 °C, which also methods findings can provide reference for other changes sustainable development.

Language: Английский

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