Geo-Sensing-Based Analysis of Urban Heat Island in the Metropolitan Area of Merida, Mexico

Sensors, Год журнала: 2024, Номер 24(19), С. 6289 - 6289

Опубликована: Сен. 28, 2024

Urban Heat Islands are a major environmental and public health concern, causing temperature increase in urban areas. This study used satellite imagery machine learning to analyze the spatial temporal patterns of land surface distribution Metropolitan Area Merida (MAM), Mexico, from 2001 2021. The results show that has increased MAM over period, while footprint expanded. also found high correlation (r> 0.8) between changes cover classes (urbanization/deforestation). If current urbanization trend continues, difference its surroundings is expected reach 3.12 °C ± 1.11 by year 2030. Hence, findings this suggest Island effect growing problem highlight importance for monitoring developing mitigation strategies.

Язык: Английский

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Ventilation potential simulation based on multiple scenarios of land-use changes catering for urban planning goals in the metropolitan area

Journal of Cleaner Production, Год журнала: 2024, Номер unknown, С. 144301 - 144301

Опубликована: Ноя. 1, 2024

Язык: Английский

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Characteristics of the Moscow Heat Island and Quality of Its Simulation with the COSMO-Ru1-MSK Model Based on the Mosecomonitoring Observations

Russian Meteorology and Hydrology, Год журнала: 2024, Номер 49(9), С. 795 - 810

Опубликована: Сен. 1, 2024

Язык: Английский

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Approximation of Spatial and Temporal Variability of the Urban Heat Island in Moscow Using Machine Learning

Moscow University Physics Bulletin, Год журнала: 2024, Номер 79(S2), С. S784 - S797

Опубликована: Дек. 1, 2024

Язык: Английский

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An Overview of Machine Learning and Deep Learning Applications in Earth Sciences in 2024: Achievements and Perspectives

Moscow University Physics Bulletin, Год журнала: 2024, Номер 79(S2), С. S739 - S749

Опубликована: Дек. 1, 2024

Язык: Английский

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