Urban Thermal Comfort: Comparative Analysis Between Satellite Image Data and Thermographic Camera Data

Authors

DOI:

https://doi.org/10.46421/entac.v20i1.6094

Keywords:

Remote Sensing, Urban Surface Temperature, Urban Thermal Simulation, Urban heat islands

Abstract

Remote sensing images can be utilized to analyze surface temperatures, microclimates, and urban heat islands, in studies of thermal comfort and energy consumption at the urban scale. On one hand, freely available thermal satellite images generally have a resolution that is insufficient for local studies, potentially leading to significant distortions in the recorded temperatures. On the other hand, portable thermal cameras have the potential to measure surface temperatures with high precision. Therefore, the combined use of thermal satellite images and portable cameras has the potential to bring greater accuracy and reliability to urban analyses, particularly when the analyzed surfaces have a high degree of material heterogeneity. Therefore, this article aims to analyze the relationship between surface temperatures measured in situ and thermal images obtained by the Landsat 8 and Landsat 9 satellites on a reduced scale. For this purpose, measurement points were selected in the city of Porto Alegre, in the state of Rio Grande do Sul, Brazil. At these points, a thermal camera was used to generate images of surface temperature variations of the ground, considering the different materials present at the location, they were taken simultaneously with the satellite images. Preliminary results highlight that the comparison can vary depending on the surfaces and the discrepancies between the pixel dimensions in the Landsat images and those of the thermal camera. However, the analysis of similar surfaces indicates that the use of satellite images has great potential to generate data for use in computational simulations of urban thermal comfort.

Author Biographies

Larissa de Lara Chaves, Universidade Federal do Rio Grande do Sul

Architect and Urbanist from the Pontifical Catholic University of Rio Grande do Sul.

Master's student in Architecture at the Federal University of Rio Grande do Sul (Porto Alegre - RS, Brazil).

Maurício Carvalho Ayres Torres, Universidade Federal do Rio Grande do Sul

Phd at the Federal University of Rio Grande do Sul, UFRGS, Brazil.

Assistant Professor at the Faculty of Architecture of the Federal University of Rio Grande do Sul (Porto Alegre - RS, Brazil).

Alline Gomes Lamenha e Silva, Instituto Federal de Alagoas - campus Penedo

Phd at the Federal University of Rio Grande do Sul.

Professor at the Federal Institute of Alagoas (Penedo - AL, Brazil).

Natália Tusset, Universidade Federal do Rio Grande do Sul

Undergraduate student at the Federal University of Rio Grande do Sul (Porto Alegre - RS, Brazil).

References

MONTEIRO, F. F. et al. Assessment of Urban Heat Islands in Brazil based on MODIS remote sensing data. Urban Climate, v. 35, p. 100726, jan. 2021.

UNITED NATIONS HUMAN SETTLEMENTS PROGRAMME (UN-HABITAT). World Cities Report 2022 Envisaging the Future of Cities. Nairobi: [s.n.].

SANTAMOURIS, M.; VASILAKOPOULOU, K. Present and Future Energy Consumption of Buildings: Challenges and Opportunities towards Decarbonisation. e-Prime, p. 100002, out. 2021.

SETO, K. C.; GÜNERALP, B.; HUTYRA, L. R. Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Proceedings of the National Academy of Sciences, v. 109, n. 40, p. 16083–16088, 2 out. 2012.

CHALAL, M. L. et al. Energy planning and forecasting approaches for supporting physical improvement strategies in the building sector: A review. Renewable and Sustainable Energy Reviews, v. 64, p. 761–776, out. 2016.

XIONG, Y. et al. The Impacts of Rapid Urbanization on the Thermal Environment: A Remote Sensing Study of Guangzhou, South China. Remote Sensing, v. 4, n. 7, p. 2033–2056, 6 jul. 2012.

DALLIMER, M. et al. The extent of shifts in vegetation phenology between rural and urban areas within a human‐dominated region. Ecology and Evolution, v. 6, n. 7, p. 1942–1953, 24 abr. 2016.

PENG, J. et al. Urban thermal environment dynamics and associated landscape pattern factors: A case study in the Beijing metropolitan region. Remote Sensing of Environment, v. 173, p. 145–155, fev. 2016.

FARRELL, K. The Rapid Urban Growth Triad: A New Conceptual Framework for Examining the Urban Transition in Developing Countries. Sustainability, v. 9, n. 8, p. 1407, 9 ago. 2017.

SOLA, A. et al. Simulation Tools to Build Urban-Scale Energy Models: A Review. Energies, v. 11, n. 12, p. 3269, 23 nov. 2018.

SHI, Z.; FONSECA, J. A.; SCHLUETER, A. A review of simulation-based urban form generation and optimization for energy-driven urban design. Building and Environment, v. 121, p. 119–129, ago. 2017.

DENG, Y. et al. Exploring The Effects Of local Environment On Population Distribution: Using Imagery Segmentation Technology And Street View. 2020 Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC). Anais...IEEE, abr. 2020.

WENG, Q. Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends. ISPRS Journal of Photogrammetry and Remote Sensing, v. 64, n. 4, p. 335–344, jul. 2009.

XU, L. et al. Identifying the trade-offs between climate change mitigation and adaptation in urban land use planning: An empirical study in a coastal city. Environment International, v. 133, p. 105162, dez. 2019.

HUO, H.; CHEN, F. A Study of Simulation of the Urban Space 3D Temperature Field at a Community Scale Based on High-Resolution Remote Sensing and CFD. Remote Sensing, v. 14, n. 13, p. 3174, 1 jul. 2022.

SAHER, R.; STEPHEN, H.; AHMAD, S. Effect of land use change on summertime surface temperature, albedo, and evapotranspiration in Las Vegas Valley. Urban Climate, v. 39, p. 100966, set. 2021.

IMRAN, H. M. et al. Land surface temperature and human thermal comfort responses to land use dynamics in Chittagong city of Bangladesh. Geomatics, Natural Hazards and Risk, v. 13, n. 1, p. 2283–2312, 31 dez. 2022.

CHEN, Y.-C. et al. Modeling of mean radiant temperature based on comparison of airborne remote sensing data with surface measured data. Atmospheric Research, v. 174–175, p. 151–159, jun. 2016.

AZAD, S. P. et al. An ad-hoc implementation of a remote laboratory. 2015 IEEE International Conference on Microelectronics Systems Education (MSE). Anais...IEEE, maio 2015.

YU, Z. et al. Quantifying seasonal and diurnal contributions of urban landscapes to heat energy dynamics. Applied Energy, v. 264, p. 114724, abr. 2020.

KELLY TURNER, V. et al. More than surface temperature: mitigating thermal exposure in hyper-local land system. Journal of Land Use Science, v. 17, n. 1, p. 79–99, 2 jan. 2022.

WANG, M. et al. A Coarse-to-Fine Deep Learning Based Land Use Change Detection Method for High-Resolution Remote Sensing Images. Remote Sensing, v. 12, n. 12, p. 1933, 15 jun. 2020.

YAO, X. et al. Land Use Classification of the Deep Convolutional Neural Network Method Reducing the Loss of Spatial Features. Sensors, v. 19, n. 12, p. 2792, 21 jun. 2019.

MARX, V.; ARAÚJO DE OLIVEIRA, G.; DE SOUZA, V. Relação global-local e transformação urbana no 4o distrito de Porto Alegre. Revista Política e Planejamento Regional, p. 273–296, maio 2021.

SILVA, A. G. L.; TORRES, M. C. A. Proposing an effective and inexpensive tool to detect urban surface temperature changes associated with urbanization processes in small cities. Building and Environment, v. 192, p. 107634, abr. 2021.

Published

2024-10-07

How to Cite

CHAVES, Larissa de Lara; TORRES, Maurício Carvalho Ayres; LAMENHA E SILVA, Alline Gomes; TUSSET, Natália. Urban Thermal Comfort: Comparative Analysis Between Satellite Image Data and Thermographic Camera Data. In: NATIONAL MEETING OF BUILT ENVIRONMENT TECHNOLOGY, 20., 2024. Anais [...]. Porto Alegre: ANTAC, 2024. p. 1–15. DOI: 10.46421/entac.v20i1.6094. Disponível em: https://eventos.antac.org.br/index.php/entac/article/view/6094. Acesso em: 21 nov. 2024.

Issue

Section

Conforto Ambiental e Eficiência Energética

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