Using Low-Cost Sensors and Citizen Science: Assessing Thermal Inequality in African Slums

Urban heat exposure is intensifying due to climate change and urbanisation, with disproportionate impacts on vulnerable populations. Unfortunately, many urban areas, particularly informal settlements, lack sufficient data for detailed analysis to understand these impacts. Traditional air temperature...

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Main Authors: S. A. Sampson, A. Abascal, J. Wang, S. Vanhuysse, I. Rodríguez Carreño, I. Garcia Ruiz, M. Kuffer
Format: Article
Language:English
Published: Copernicus Publications 2025-05-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-archives.copernicus.org/articles/XLVIII-M-7-2025/229/2025/isprs-archives-XLVIII-M-7-2025-229-2025.pdf
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author S. A. Sampson
A. Abascal
J. Wang
S. Vanhuysse
I. Rodríguez Carreño
I. Garcia Ruiz
M. Kuffer
author_facet S. A. Sampson
A. Abascal
J. Wang
S. Vanhuysse
I. Rodríguez Carreño
I. Garcia Ruiz
M. Kuffer
author_sort S. A. Sampson
collection DOAJ
description Urban heat exposure is intensifying due to climate change and urbanisation, with disproportionate impacts on vulnerable populations. Unfortunately, many urban areas, particularly informal settlements, lack sufficient data for detailed analysis to understand these impacts. Traditional air temperature measurement methods—such as meteorological stations—are sparsely distributed in African cities, typically located on city outskirts (e.g., airports), and fail to capture localized temperature variations. This study explores the use of low-cost sensors and citizen science initiatives to measure air temperature with higher spatial resolution in informal and surrounding formal settlements. A two-stage process is employed to evaluate data quality: first, statistically assessing biases in low-cost sensor (LCS) measurements, and second, employing Monte Carlo simulations to quantify uncertainties. The resulting data reveals significant temperature differences between informal settlements and surrounding formal areas, with informal settlements consistently exhibiting higher temperatures. This approach not only highlights the value of low-cost sensors and citizen science in generating high-resolution temperature data but also provides insights into thermal inequalities between different urban environments.
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series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
spelling doaj-art-872b35c4b5044eb8a573767b856feb2c2025-08-20T01:52:22ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342025-05-01XLVIII-M-7-202522923610.5194/isprs-archives-XLVIII-M-7-2025-229-2025Using Low-Cost Sensors and Citizen Science: Assessing Thermal Inequality in African SlumsS. A. Sampson0A. Abascal1J. Wang2S. Vanhuysse3I. Rodríguez Carreño4I. Garcia Ruiz5M. Kuffer6Navarra Centre for International Development (NCID), Universidad de Navarra, Pamplona, SpainDepartment of Engineering, Public University of Navarre (UPNA), Pamplona, SpainFaculty of Geo-Information Science & Earth Observation (ITC), University of Twente, Enschede, The NetherlandsDepartment of Geosciences, Environment & Society, Université libre De Bruxelles (ULB), 1050 Bruxelles, BelgiumNavarra Centre for International Development (NCID), Universidad de Navarra, Pamplona, SpainDepartment of Engineering, Public University of Navarre (UPNA), Pamplona, SpainFaculty of Geo-Information Science & Earth Observation (ITC), University of Twente, Enschede, The NetherlandsUrban heat exposure is intensifying due to climate change and urbanisation, with disproportionate impacts on vulnerable populations. Unfortunately, many urban areas, particularly informal settlements, lack sufficient data for detailed analysis to understand these impacts. Traditional air temperature measurement methods—such as meteorological stations—are sparsely distributed in African cities, typically located on city outskirts (e.g., airports), and fail to capture localized temperature variations. This study explores the use of low-cost sensors and citizen science initiatives to measure air temperature with higher spatial resolution in informal and surrounding formal settlements. A two-stage process is employed to evaluate data quality: first, statistically assessing biases in low-cost sensor (LCS) measurements, and second, employing Monte Carlo simulations to quantify uncertainties. The resulting data reveals significant temperature differences between informal settlements and surrounding formal areas, with informal settlements consistently exhibiting higher temperatures. This approach not only highlights the value of low-cost sensors and citizen science in generating high-resolution temperature data but also provides insights into thermal inequalities between different urban environments.https://isprs-archives.copernicus.org/articles/XLVIII-M-7-2025/229/2025/isprs-archives-XLVIII-M-7-2025-229-2025.pdf
spellingShingle S. A. Sampson
A. Abascal
J. Wang
S. Vanhuysse
I. Rodríguez Carreño
I. Garcia Ruiz
M. Kuffer
Using Low-Cost Sensors and Citizen Science: Assessing Thermal Inequality in African Slums
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title Using Low-Cost Sensors and Citizen Science: Assessing Thermal Inequality in African Slums
title_full Using Low-Cost Sensors and Citizen Science: Assessing Thermal Inequality in African Slums
title_fullStr Using Low-Cost Sensors and Citizen Science: Assessing Thermal Inequality in African Slums
title_full_unstemmed Using Low-Cost Sensors and Citizen Science: Assessing Thermal Inequality in African Slums
title_short Using Low-Cost Sensors and Citizen Science: Assessing Thermal Inequality in African Slums
title_sort using low cost sensors and citizen science assessing thermal inequality in african slums
url https://isprs-archives.copernicus.org/articles/XLVIII-M-7-2025/229/2025/isprs-archives-XLVIII-M-7-2025-229-2025.pdf
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