Thermal characterization of the university environment for green infrastructure planning

Authors

DOI:

https://doi.org/10.22320/07190700.2026.16.01.01

Keywords:

urban heat islands, vegetation, NGRDI, green infrastructure, planning

Abstract

The increase in urban temperatures, driven by climate change and the expansion of gray infrastructure, has intensified the urban heat island (UHI) phenomenon, affecting thermal comfort in outdoor spaces. This study characterized the campus thermal environment at the Autonomous University of Baja California in Mexicali, one of the world's hottest cities, to identify opportunities for green infrastructure (GI) planning. The methodology included generating a high-resolution orthomosaic using an unmanned aerial vehicle to calculate the NGRDI index, in situ measurements of land surface temperature (LST) using infrared thermometers, and geospatial analysis of both variables. The results showed higher temperatures on impervious surfaces such as concrete and asphalt, while tree-covered areas presented lower values. However, some green areas with low vegetation vigor showed limited cooling capacity, highlighting the need to strengthen GI strategies.

Downloads

Download data is not yet available.

Author Biographies

  • Walter Ávila-Ruiz, Autonomous University of Baja California, Mexicali, Mexico, Autonomous University of Baja California

    Master of Engineering. Ph.D. student in the School of Engineering.

  • Carlos Salazar-Briones, Autonomous University of Baja California, Autonomous University of Baja California, Mexicali, Mexico

    Ph.D. in Science. Research Professor in the School of Engineering.

  • José Ruiz-Gibert, Autonomous University of Baja California

    Ph.D. in Science. Research Professor in the School of Engineering.

  • Juan Saiz-Rodríguez, University of Sonora, Hermosillo, Mexico, University of Sonora

    Ph.D. in Science. Research Professor in the Department of Civil and Mining Engineering

  • Marcelo Lomelí-Banda, Autonomous University of Baja California, Mexicali, Mexico, Autonomous University of Baja California

    Ph.D. in Science. Research Professor, School of Engineering

References

ANAND, V., KAUR, S., RAJPUT, V. D., MINKINA, T., MANDZHIEVA, S., KUMAR, S., SHARMA, A., & KUMAR, S. (2025). Analyzing the spatial relationship between land surface temperature and normalized difference vegetation index using remote sensing and GIS. Discover Geoscience, 3(1), 65. https://doi.org/10.1007/s44288-025-00167-w

ARNFIELD, A. J. (2003). Two decades of urban climate research: A review of turbulence, exchanges of energy and water, and the urban heat island. International Journal of Climatology, 23(1), 1–26. https://doi.org/10.1002/joc.859

Ayuntamiento de Mexicali. (2005). Reglamento de áreas verdes para el municipio de Mexicali, Baja California. Gobierno Municipal de Mexicali. https://www.ordenjuridico.gob.mx/Estatal/BAJA%20CALIFORNIA/Municipios/Mexicali/REG01.pdf

Ayuntamiento de Mexicali. (2020). Guía de forestación para el municipio de Mexicali, baja California. Gobierno Municipal de Mexicali. https://www.scribd.com/document/610318541/2021-Guia-Municipal-de-Forestacion-para-el-Municipio-de-Mexicali-2021

Ayuntamiento de Mexicali. (2024). Atlas de Riesgos del Municipio de Mexicali, B.C. [Actualización 2023]. Universidad Autónoma de Baja California [UABC]. Unidad Municipal de Protección Civil. http://www.mexicali.gob.mx/transparencia/administracion/atlas/pdf/0.pdf

DASHTI, A., & KHAJAH, M. (2024). Urban green areas and their impact on land surface temperature in semi-arid environments: a case study in Kuwait. GeoJournal, 89, 86. https://doi.org/10.1007/s10708-024-11079-6

DECLET-BARRETO, J., BRAZEL, A. J., MARTIN, C. A., CHOW, W. T., & HARLAN, S. L. (2013). Creating the park cool island in an inner-city neighborhood: heat mitigation strategy for Phoenix, AZ. Urban Ecosystems, 16(3), 617-635. https://doi.org/10.1007/s11252-012-0278-8

DHEERAJ, V. P., RAI, A. K., YADAV, A. K., SONKAR, S., MAURYA, A., CHAUDHARY, A., & CHAUDHARY, P. (2025). Spatiotemporal analysis and correlation of surface temperature, vegetation cover, and water index using remote sensing and GIS techniques in Ambedkar Nagar, India. Discover Environment, 3(1), 232. https://doi.org/10.1007/s44274-025-00438-w

Duke University. (2002). STA102: Correlation and regression – The coefficient of determination. Department of Statistical Science, Duke University.

JANNOURA, R., BRINKMANN, K., UTEAU, D., BRUNS, C., & JOERGENSEN, R. G. (2015). Monitoring of crop biomass using true colour aerial photographs taken from a remote controlled hexacopter. Biosystems Engineering, 129, 341-351. https://doi.org/10.1016/j.biosystemseng.2014.11.007

FRANCO, E., GHISI, E., VAZ, I. C. M., & THIVES, L. P. (2025). Permeable Pavements: An Integrative Review of Technical and Environmental Contributions to Sustainable Cities. Water, 17(22), 3323. https://doi.org/10.3390/w17223323

GUTIÉRREZ BONEO, M. M. (10 de junio de 2025). El cuidado de áreas verdes: Clave para el bienestar ambiental. Gaceta UABC. Universidad Autónoma de Baja California. https://gaceta.uabc.mx/el-cuidado-de-areas-verdes-clave-para-el-bienestar-ambiental

GARZÓN, J., MOLINA SÁNCHEZ, I., & JIMÉNEZ CLEVES, G. (2024). Evaluación del fenómeno de la isla de calor urbano en Cartago, Colombia: tendencias de factores ambientales en los últimos 20 años. Encuentro Internacional de Educación en Ingeniería ACOFI. https://doi.org/10.26507/paper.3712

HERAS, A. (8 de agosto de 2025). Mexicali, BC, rompe récord de temperatura con 52.7 grados Celsius. La Jornada. https://www.jornada.com.mx/noticia/2025/08/08/estados/mexicali-bc-rompe-record-de-temperatura-con-527-grados-celsius

HUANG, S., TANG, L., HUPY, J. P., WANG, Y., & SHAO, G. (2021). A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing. Journal of Forestry Research, 32(1), 1-6. https://doi.org/10.1007/s11676-020-01155-1

KRISHNAN, P., MEYERS, T. P., HOOK, S. J., HEUER, M., SENN, D., & DUMAS, E. J. (2020). Intercomparison of in situ sensors for ground-based land surface temperature measurements. Sensors, 20(18), 5268. https://doi.org/10.3390/s20185268

LAU, T.-K., & HSU, H.-C. (2025). Urban Heat Island Effect and Unequal Temperature-Related News Attention in Taiwan’s Major Cities. Urban Science, 9(10), 417. https://doi.org/10.3390/urbansci9100417

LEE, S., & YU, B.-H. (2019). Automatic detection of dead tree from UAV imagery. Coordinates, 15(4), 36-39. https://mycoordinates.org/pdf/apr19.pdf

LONGLEY, P. A., GOODCHILD, M. F., MAGUIRE, D. J., & RHIND, D. W. (2005). Geographical information systems and science. John Wiley & Sons.

MACEDO, F. L., NÓBREGA, H., DE FREITAS, J. G., & PINHEIRO DE CARVALHO, M. A. A. (2025). Assessment of vegetation indices derived from UAV imagery for weed detection in vineyards. Remote Sensing, 17(11), 1899. https://doi.org/10.3390/rs17111899

MANDJOUPA, L. K., BEHERA, P., ROMAN, K. K., AZAM, H., & DENIS, M. (2025). Street-Level Sensing for Assessing Urban Microclimate (UMC) and Urban Heat Island (UHI) Effects on Air Quality. Environments, 12(6), 184. https://doi.org/10.3390/environments12060184

OHLERT, P. L., BACH, M., & BREUER, L. (2023). Accuracy assessment of inverse distance weighting interpolation of groundwater nitrate concentrations in Bavaria (Germany). Environmental Science and Pollution Research, 30(4), 9445-9455. https://doi.org/10.1007/s11356-022-22670-0

OKE, T. R. (1982). The energetic basis of the urban heat island. Quarterly Journal of the Royal Meteorological Society, 108(455), 1–24. https://doi.org/10.1002/qj.49710845502

RAHIMI, E., DONG, P., & JUNG, C. (2025). Global NDVI-LST correlation: Temporal and spatial patterns from 2000 to 2024. Environments, 12(2), 67. https://doi.org/10.3390/environments12020067

RONY, M. K. K., & ALAMGIR, H. M. (2023). High temperatures on mental health: Recognizing the association and the need for proactive strategies—A perspective. Health Science Reports, 6(12), e1729. https://doi.org/10.1002/hsr2.1729

SCHWARZ, N., SCHLINK, U., FRANCK, U., & GROßMANN, K. (2012). Relationship of land surface and air temperatures and its implications for quantifying urban heat island indicators—An application for the city of Leipzig (Germany). Ecological indicators, 18, 693-704. https://doi.org/10.1016/j.ecolind.2012.01.001

SHASHUA-BAR, L., & HOFFMAN, M. E. (2000). Vegetation as a climatic component in the design of an urban street: An empirical model for predicting the cooling effect of urban green areas with trees.Energy Buildings 31(3), 221-235. https://doi.org/10.1016/S0378-7788(99)00018-3

SPEAK, A. (2015). 12-Influence of vegetation damage on urban cooling effects in F. Pacheco-Torgal, J.A. Labrincha, L.F. Cabeza, C.-G. Granqvist (Eds.), Eco-Efficient Materials for Mitigating Building Cooling Needs (pp. 325-347). Woodhead Publishing. https://doi.org/10.1016/B978-1-78242-380-5.00012-1

STAMFORD, J. D., VIALET-CHABRAND, S., CAMERON, I., & LAWSON, T. (2023). Development of an accurate low cost NDVI imaging system for assessing plant health. Plant Methods, 19(1), 9. https://doi.org/10.1186/s13007-023-00981-8

STEWART, I. D. (2011). A systematic review and scientific critique of methodology in modern urban heat island literature. International Journal of Climatology, 31(2), 200–217. https://doi.org/10.1002/joc.2141

United Nations. (16 de mayo de 2018). 2018 Revision of World Urbanization Prospects. United Nations, Department of Economic and Social Affairrs. https://www.un.org/en/desa/2018-revision-world-urbanization-prospects

VALAVANIDIS, A. (2024). Half of the Global Population Lives in MegaCities. Megacities are hotspots for slums, GHG emissions, toxic air pollution, climate change, deteriorating water and soil quality. https://www.researchgate.net/publication/379655450_Half_of_the_Global_Population_Lives_in_MegaCities_Megacities_are_hotspots_for_slums_GHG_emissions_toxic_air_pollution_climate_change_deteriorating_water_and_soil_quality

VOOGT, J. A., & OKE, T. R. (2003). Thermal remote sensing of urban climates. Remote Sensing of Environment, 86(3), 370-384. https://doi.org/10.1016/S0034-4257(03)00079-8

WU, B., ZHANG, Y., WANG, Y., HE, Y., WANG, J., WU, Y., LIN, X., & WU, S. (2024). Mitigation of urban heat island in China (2000–2020) through vegetation-induced cooling. Sustainable Cities and Society, 112, 105599. https://doi.org/10.1016/j.scs.2024.105599

YAHIA, M. W., & JOHANSSON, E. (2014). Landscape interventions in improving thermal comfort in the hot dry city of Damascus, Syria—The example of residential spaces with detached buildings. Landscape and Urban Planning, 125, 1-16. https://doi.org/10.1016/j.landurbplan.2014.01.014

YANG, J., REN, J., SUN, D., XIAO, X., XIA, J. C., JIN, C., & LI, X. (2021). Understanding land surface temperature impact factors based on local climate zones. Sustainable Cities and Society, 69, 102818. https://doi.org/10.1016/j.scs.2021.102818

YIN, Y., LI, S., XING, X., ZHOU, X., KANG, Y., HU, Q., & LI, Y. (2024). Cooling benefits of urban tree canopy: A systematic review. Sustainability, 16(12), 4955. https://doi.org/10.3390/su16124955

ZHAO, J., LU, J., GE, J., FAN, Y., WANG, H., GU, M., XUE, Y., ZHAO, Y., LV, G., LIN, H., ZHAO, K., & LUO, X. (2025). Influences of permeable pavements with different hydraulic properties on evaporative cooling and outdoor thermal environment: Field experiments. Building and Environment, 270, 112525. https://doi.org/10.1016/j.buildenv.2025.112525

Published

2026-07-01

Issue

Section

Artículos

How to Cite

Ávila-Ruiz, W., Salazar-Briones, C., Ruiz-Gibert, J., Saiz-Rodríguez, J., & Lomelí-Banda, M. (2026). Thermal characterization of the university environment for green infrastructure planning. Sustainable Habitat, 16(1), 10-23. https://doi.org/10.22320/07190700.2026.16.01.01