Contribution of urban functional zones to the spatial distribution of urban thermal environment

Building and Environment, Год журнала: 2022, Номер 216, С. 109000 - 109000

Опубликована: Март 21, 2022

Язык: Английский

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Assessing the impacts of vegetation cover loss on surface temperature, urban heat island and carbon emission in Penang city, Malaysia

Building and Environment, Год журнала: 2022, Номер 222, С. 109335 - 109335

Опубликована: Июль 14, 2022

Язык: Английский

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Predicting the impacts of land use/land cover changes on seasonal urban thermal characteristics using machine learning algorithms

Building and Environment, Год журнала: 2022, Номер 217, С. 109066 - 109066

Опубликована: Апрель 7, 2022

Язык: Английский

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Low-carbon city and its future research trends: A bibliometric analysis and systematic review

Sustainable Cities and Society, Год журнала: 2022, Номер 90, С. 104381 - 104381

Опубликована: Дек. 29, 2022

Язык: Английский

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Comparison of accuracy and reliability of random forest, support vector machine, artificial neural network and maximum likelihood method in land use/cover classification of urban setting

Environmental Challenges, Год журнала: 2023, Номер 14, С. 100800 - 100800

Опубликована: Ноя. 27, 2023

Язык: Английский

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Modelling the impacts of land use/land cover changing pattern on urban thermal characteristics in Kuwait

Sustainable Cities and Society, Год журнала: 2022, Номер 86, С. 104107 - 104107

Опубликована: Авг. 5, 2022

Язык: Английский

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A cold island connectivity and network perspective to mitigate the urban heat island effect

Sustainable Cities and Society, Год журнала: 2023, Номер 94, С. 104525 - 104525

Опубликована: Март 25, 2023

Язык: Английский

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Coupling Remote Sensing Insights With Vegetation Dynamics and to Analyze NO₂ Concentrations: A Google Earth Engine-Driven Investigation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Год журнала: 2024, Номер 17, С. 9858 - 9875

Опубликована: Янв. 1, 2024

Rapid urbanization and industrialization in Lahore Faisalabad have intensified air pollution issues, influencing nitrogen dioxide (NO2) concentrations, land surface temperature (LST), vegetation. The study aims to comprehensively assess changes NO2, LST, vegetation induced by industrialization, focusing on seasonal variations from 2019-2022. evaluates NO2 concentrations health using indices Normalized Difference Vegetation Index (NDVI), Enhanced (EVI), Atmospherically Resistant (ARVI), LST variations. analysis reveals a notable increase during both summer winter, with approximately 0.021 (×103 mol/m2) 0.03 rises observed Lahore. In comparison, experienced more modest increases of around 0.0034 0.007 the respective seasons. Simultaneously, decline cities, indicating substantial deterioration. Moreover, upward trend occurred, experiencing an 1.59 ℃ 0.92°C winter. also showed 1.64 0.54 corresponding Pearson correlation highlights robust negative between indices, underlining impact declining quality. A positive indicates interconnected nature rising temperatures pollution. findings emphasize need for environmental regulations Faisalabad. Addressing levels is critical policymakers urban planners. These insights contribute Sustainable Development Goal (SDG-11), fostering strategies sustainable cities communities combat pressing challenges these areas.

Язык: Английский

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Assessment of urbanization impacts on vegetation cover in major cities of Pakistan: evidence from remotely sensed data

GeoJournal, Год журнала: 2024, Номер 89(4)

Опубликована: Авг. 2, 2024

Язык: 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, Год журнала: 2025, Номер 156(2)

Опубликована: Янв. 10, 2025

Язык: Английский

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