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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Exploration of Influencing Factors of Land Surface Temperature in Cities Within the Beijing–Tianjin–Hebei Region Based on Local Climate Zone Scheme

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 9728 - 9744

Published: Jan. 1, 2024

Clarifying the factors that influence land surface temperature (LST) is crucial for proposing specific LST mitigation strategies. This study focuses on Beijing-Tianjin-Hebei (BTH) Region and investigates influencing of various local climate zone (LCZ) built types from perspectives urban morphology, cover, human activity. The results suggest areas LCZ vary across cities within BTH Region, attributed to differences in city size Gross Domestic Product (GDP). area Beijing Tianjin, with significantly high sizes GDP, exceeds 2000 km2. In contrast, Qinhuangdao, Zhangjiakou Chengde, which have relatively low this less than 500 However, main same type are highly consistent. Building coverage ratio (BCR), average building height (ABH) pervious fraction (PSF) three most important factors. correlation between BCR mainly concentrated compact high-rise open types, Pearson coefficient (r) ranging 0.2 0.44; ABH high-rise, mid-rise, mid-rise r -0.2 -0.52; PSF almost all -0.56. By integrating these findings features each strategies were further proposed. can help develop context Coordinated Development thereby promoting healthy sustainable development region.

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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Seasonal Environmental Cooling benefits of urban green and blue spaces in arid regions

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 105805 - 105805

Published: Sept. 1, 2024

Language: Английский

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Developing a Semi-Automated Technique of Surface Water Quality Analysis Using GEE And Machine Learning: A Case Study for Sundarbans

Heliyon, Journal Year: 2025, Volume and Issue: 11(3), P. e42404 - e42404

Published: Feb. 1, 2025

This study presents a semi-automated approach for assessing water quality in the Sundarbans, critical and vulnerable ecosystem, using machine learning (ML) models integrated with field remotely-sensed data. Key parameters-Sea Surface Temperature (SST), Total Suspended Solids (TSS), Turbidity, Salinity, pH-were predicted through ML algorithms interpolated Empirical Bayesian Kriging (EBK) model ArcGIS Pro. The predictive framework leverages Google Earth Engine (GEE) AutoML, utilizing deep libraries to create dynamic, adaptive that enhance prediction accuracy. Comparative analyses showed ML-based effectively captured spatial temporal variations, aligning closely measurements. integration provides more efficient alternative traditional methods, which are resource-intensive less practical large-scale, remote areas. Our findings demonstrate this technique is valuable tool continuous monitoring, particularly ecologically sensitive areas limited accessibility. also offers significant applications climate resilience policy-making, as it enables timely identification of deteriorating trends may impact biodiversity ecosystem health. However, acknowledges limitations, including variability data availability inherent uncertainties predictions dynamic systems. Overall, research contributes advancement monitoring techniques, supporting sustainable environmental management practices Sundarbans against emerging challenges.

Language: Английский

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Urban Morphology Influencing the Urban Heat Island in the High-Density City of Xi’an Based on the Local Climate Zone

Sustainability, Journal Year: 2024, Volume and Issue: 16(10), P. 3946 - 3946

Published: May 8, 2024

Urban form plays a critical role in enhancing urban climate resilience amidst the challenges of escalating global change and recurrent high-temperature heatwaves. Therefore, it is crucial to study correlation between spatial factors land surface temperature (LST). This utilized Landsat 8 remote sensing data estimate LST. Random forest nonlinear analysis was employed investigate interaction heat island (UHI) six morphological factors: building density (BD), floor area ratio (FAR), height (BH), fractional vegetation coverage (FVC), sky view factor (SVF), impervious fraction (ISF), within framework local zones (LCZs). Key findings revealed that Xi’an exhibited significant effect, with over 10% experiencing temperatures exceeding 40 °C. Notably, average LST building-class LCZs (1-6) 3.5 °C higher than cover-class (A-C). Specifically, compact (1-3) had an 3.02 open (4-6). FVC contributed most variation LST, while FAR least. ISF BD were found have positive impact on BH negative influence. Moreover, SVF observed positively influence classes (LCZ2-3) low-rise class (LCZ6). In mid-rise (LCZ5), showed U-shaped relationship. There inverted relationship inflection point occurring at 1.5. The results beneficial illustrating complex relationships its driving factors. study’s highlight effectiveness utilizing LCZ as detailed approach explore morphology islands. Recommendations for include strategies such increasing coverage, regulating heights, organizing buildings “L” or “I” shape, adopting “O” “C” configuration aid planners developing sustainable environments.

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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Spatiotemporal variation pattern and spatial coupling relationship between NDVI and LST in Mu Us Sandy Land

Open Geosciences, Journal Year: 2024, Volume and Issue: 16(1)

Published: Jan. 1, 2024

Abstract Normalized difference vegetation index (NDVI) and land surface temperature (LST) are important indicators of ecological changes, their spatial temporal variations coupling can provide a theoretical basis for the sustainable development environment. Based on MOD13A1 MOD11A2 datasets, distribution characteristics NDVI LST from 2000 to 2020 were analyzed, trend change slope method model used calculate significant changes. Finally, was degree between LST. The study shows that: (1) From 2020, annual value Mu Us Sandy Land 0.25 0.43, showing stable upward overall, with an increase rate 0.074/(10a). proportion improvement areas in area is 81.48%. (2) There differences Land, overall decreasing northwest southeast higher west than east. greatly affected by changes use types. spatiotemporal variation different gradual warming global climate change. main reason that human activities have changed types increased local coverage. (3) negative correlation R 2 0.5073 passing significance test at 0.01 level. This indicates engineering policies effectively reduce area, thereby achieving effect improving very high level, average 0.895 area. two mainly exhibit state mutual antagonism space, reflecting importance green regulating regional result joint influence change, dominated 2020.

Language: Английский

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Assessing spatiotemporal population density dynamics from 2000 to 2020 in megacities using urban and rural morphologies

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

Published: June 19, 2024

Abstract Rapid urbanization has resulted in the substantial population growth metropolitan areas. However, existing research on change of cities predominantly draws grid statistical data at administrative level, overlooking intra-urban variegation change. Particularly, there is a lack attention given to spatio-temporal across different urban forms and functions. This paper therefore fills lacuna by clarifying characteristics Guangdong-Hong Kong-Macao Greater Bay Area (GBA) from 2000 2020 through methods local climate zone (LCZ) scheme urban–rural gradients. The results showed that: (1) High density was observed compact high-rise (LCZ 1) areas, with noticeable decline along (2) city centers GBA experienced most significant growth, while certain fringes rural areas witnessed shrinkage. (3) rate tended slow down after 2010, but uneven development population-based also noticeable, as industrialization varied LCZ types GBA. contributes deeper understanding their contingences landscape level.

Language: Английский

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