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  4. Temporal Analysis of Land Surface Temperature Variability and Urban Climate Dynamics: A Remote Sensing Use Case in Benguerir City, Morocco
 
research article

Temporal Analysis of Land Surface Temperature Variability and Urban Climate Dynamics: A Remote Sensing Use Case in Benguerir City, Morocco

Sidi Almouctar, Mohamed Adou
•
Chenal, Jérôme  
•
Azmi, Rida
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October 31, 2025
Sustainability

Urbanization markedly influences the microclimatic conditions in semi-arid regions by elevating land surface temperatures (LST) and contributing to ecological degradation. This study examined the spatial and temporal evolution of LST and urban heat island (UHI) effects in Benguerir, Morocco, over a 30-year period (1994–2024), employing high-resolution satellite imagery and in situ sensor data. Urban expansion was quantified using thermal bands from Landsat imagery, the Normalized Difference Built-up Index (NDBI), and the Built-up Index (BU), whereas thermal comfort was evaluated through the Universal Thermal Climate Index (UTCI) and Predicted Mean Vote (PMV) using air temperature and humidity data collected via spatial sensor and the Sniffer Bike mobile sensor network. These urban transformations have intensified the UHI effect, resulting in a 29.34 °C increase in mean LST to 41.82 °C in 2024 across built-up areas. Statistical modeling revealed strong linear relationships between LST and urban indices, with R2 values ranging from 0.93 to 0.96, and correlation coefficients around 0.98 (all p-values < 0.001), indicating a reliable model fit. Furthermore, the analysis of thermal comfort trends underscores urbanization’s impact on human well-being. In 1994, 34.2% of the population experienced slight warmth and 65.8% experienced hot conditions. By 2024, conditions had shifted dramatically, with 76.7% experiencing hot conditions and 16.2% exposed to very hot conditions, leaving only 7.1% in the slight warmth category. These findings highlight the urgent need for adaptive urban planning strategies. The implementation of urban greening initiatives, the use of reflective materials, and the integration of data-driven planning approaches are essential to mitigate thermal stress and enhance urban resilience. Leveraging climate modeling and spatial analytics can support the identification of high-risk zones and inform targeted interventions to effectively address the escalating UHI phenomenon.

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Type
research article
DOI
10.3390/su17219719
Author(s)
Sidi Almouctar, Mohamed Adou
Chenal, Jérôme  

École Polytechnique Fédérale de Lausanne

Azmi, Rida
Diop, El Bachir
Hlal, Mohammed
Bounabi, Mariem
Abdem, Seyid Abdellahi Ebnou
Date Issued

2025-10-31

Publisher

MDPI AG

Published in
Sustainability
Volume

17

Issue

21

Start page

9719

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CEAT  
Available on Infoscience
November 5, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/255519
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