ArticleScientific reports2022
Evaluating contributions of urbanization and global climate change to urban land surface temperature change: a case study in Lagos, Nigeria.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Modeling evapotranspiration in diverse climatic zones of Pakistan using Surface Energy Balance Algorithm for Land (SEBAL) through geospatial technologies.Scientific reports · 2026Article
- Hybrid Bayesian deep learning model for predicting urban heat island intensity in African cities.Scientific reports · 2025Article
- Global Dynamics of Grassland FVC and LST and Spatial Distribution of Their Correlation (2001-2022).Plants (Basel, Switzerland) · 2025Article
- Green spaces provide substantial but unequal urban cooling globally.Nature communications · 2024Article
- Urban growth's implications on land surface temperature in a medium-sized European city based on LCZ classification.Scientific reports · 2024Article
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Authors and funding
6 authors.
Funding
Abstract
This study develops a general method to evaluate the contributions of localized urbanization and global climate change to long-term urban land surface temperature (ULST) change. The method is based on the understanding that long-term annual ULST is controlled by three factors: (1) localized urbanization, (2) global climate change, and (3) interannual climate variation. Then the method removes the interannual climate fluctuations on long-term observed LST time series via linear regression and separates the contributions of urbanization and climate change to the impacts on long-term ULST via urban-rural comparison. The method is applied to Lagos, a fast-growing metropolis in the tropical West Africa, as an example for reference. Combined time-series daily daytime and nighttime MODIS Land Surface Temperature (LST) data over the years of 2003-2021 are used as the representation of land surface temperature. To avoid the potentioal interannual data biase due to uneven availability of data in the rainy seasons over years, only MODIS LST data from dry seasons are used in the study. The results are summarized as follows for Lagos: (1) long-term annual ULST is confirmed to be controlled by the three factors; (2) the proposed method can separate the contribution of the three factors to the ULST; (2) both localized urbanization and global warming are verified to contribute to the ULST increase with positive trends; (3) daytime ULST increased the most in the afternoon time at a mean rate of 1.429 °C per decade, with 0.985 °C (10 year)
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