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Volume 24
Issue 19
10.3390/s24196289
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

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

by
Francisco A. Sánchez-Sánchez
1,
Marisela Vega-De-Lille
1,
Alejandro A. Castillo-Atoche
1,
José T. López-Maldonado
2,3,
Mayra Cruz-Fernandez
2,3,
Enrique Camacho-Pérez
1,3,* and
Juvenal Rodríguez-Reséndiz
4,*
1
Facultad de Ingeniería, Universidad Autónoma de Yucatán, Mérida 97000, Mexico
2
División de Tecnologías Industriales, Universidad Politécnica de Querétaro, El Marques 76240, Mexico
3
Red de Investigación OAC Optimización, Automatización y Control, El Marqués 76240, Mexico
4
Facultad de Ingeniera, Universidad Autónoma de Queretaro, Querétaro 76010, Mexico
*
Authors to whom correspondence should be addressed.
Sensors 2024, 24(19), 6289; https://doi.org/10.3390/s24196289 (registering DOI)
Submission received: 30 August 2024 / Revised: 21 September 2024 / Accepted: 26 September 2024 / Published: 28 September 2024
(This article belongs to the Special Issue Application of Satellite Remote Sensing in Geospatial Monitoring)
Versions Notes

Abstract

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

Share and Cite

MDPI and ACS Style

Sánchez-Sánchez, F.A.; Vega-De-Lille, M.; Castillo-Atoche, A.A.; López-Maldonado, J.T.; Cruz-Fernandez, M.; Camacho-Pérez, E.; Rodríguez-Reséndiz, J. Geo-Sensing-Based Analysis of Urban Heat Island in the Metropolitan Area of Merida, Mexico. Sensors 2024, 24, 6289. https://doi.org/10.3390/s24196289

AMA Style

Sánchez-Sánchez FA, Vega-De-Lille M, Castillo-Atoche AA, López-Maldonado JT, Cruz-Fernandez M, Camacho-Pérez E, Rodríguez-Reséndiz J. Geo-Sensing-Based Analysis of Urban Heat Island in the Metropolitan Area of Merida, Mexico. Sensors. 2024; 24(19):6289. https://doi.org/10.3390/s24196289

Chicago/Turabian Style

Sánchez-Sánchez, Francisco A., Marisela Vega-De-Lille, Alejandro A. Castillo-Atoche, José T. López-Maldonado, Mayra Cruz-Fernandez, Enrique Camacho-Pérez, and Juvenal Rodríguez-Reséndiz. 2024. "Geo-Sensing-Based Analysis of Urban Heat Island in the Metropolitan Area of Merida, Mexico" Sensors 24, no. 19: 6289. https://doi.org/10.3390/s24196289

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