Long-Term Assessment of Surface Urban Heat Islands Using Open Access Remote Sensing Data (1984–2024) in the Moroccan Atlantic Coast

Bibliographic Data

ID19489231
AuthorsSana Ajjoul (0009-0001-4250-1466, Office National de l'Eau Potable), Adil Zabadi (Office National de l'Eau Potable), Ayyoub Sbihi (0000-0001-9183-9626, Mohammed V University, corresponding author), Hind Lamrani (0009-0004-4097-3920, Mohammed V University), Danielle Nel-Sanders (0000-0001-9896-3566, University of Johannesburg), Brahim Benzougagh (0000-0002-1787-9678, Mohammed V University), Maryam Mazouz (International University of Rabat)
Year2026
Volume10
Issue5
Pages237
Publication date2026-04-30
Open AccessYes
TypeARTICLE
VenueUrban Science (JOURNAL)
Journal identifiersISSN: 2413-8851 • E-ISSN: 2413-8851
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/urbansci10050237
OpenAlexW7160130221
LanguageEN
References cited51

Rapid urbanization combined with global climate change is intensifying the Surface Urban Heat Island (SUHI) effect worldwide, posing significant risks to human health, thermal comfort, and quality of life in cities. Characterized by notably higher temperatures in urban areas compared to their rural surroundings, the SUHI phenomenon is driven by factors such as increased built-up density and reduced vegetation cover. In this context, open-source remote sensing data, particularly from the Landsat satellite series, play a crucial role in studying surface urban heat islands. Available freely, Landsat’s multispectral and thermal imagery provides extensive spatial coverage and consistent temporal frequency, enabling long-term diachronic analyses. This study leverages a 40-year time series (1984–2024) of Landsat thermal data to map surface temperature variations in urban environments between Kenitra and Rabat cities, facilitating the identification of heat-excess zones linked to anthropogenic factors. Based on the results obtained, the LU/LC maps show that the study area is characterized by the notable growth of urbanization over the period 1984–2024, particularly in the dynamic poles of the region such as the city centers of Kénitra, Rabat, and Sale. This dynamic is highlighted by an increase from 1.8% to 3% in the total area of the region, accompanied by a remarkable decrease in agricultural land and bare soils. The evaluation of the Random Forest (RF) model’s performance also indicates that it successfully classified the data and predicted the LU/LC classes effectively, as confirmed by metric indices such as the Receiver Operating Characteristic curve and the Kappa index, which present very high average values exceeding 90%. Furthermore, the exploitation of the thermal bands of Landsat images provided relevant information on surface temperature variation. The SUHI maps show that the Rabat-Sale-Kenitra (RSK) region experienced a progressive increase in temperature over the study period, rising from 27 °C in 1984 to 44 °C in 2024. This value could increase further due to the continuous dynamics of urbanization. Together, these tools provide a robust framework for understanding the spatiotemporal dynamics of surface urban heat islands and support sustainable urban planning

Impervious surface · Microclimate · Multispectral image · Satellite · Satellite imagery · Urban area · Urban heat island · Urbanization · Vegetation (pathology) · Flood Risk Assessment and Management · Land Use and Ecosystem Services · Urban Heat Island Mitigation

Tools

Open DOIOpen Access