Urban Heat Island Dynamics in African Megacities: A Multi-Sensor Remote Sensing Approach
Abstract
Analysis of urban heat island effects in Lagos, Nairobi, and Johannesburg using Landsat thermal bands and MODIS data, identifying correlations between land surface temperature and vegetation indices.
Citation
Dr. Sarah Chen, Mohammed Bello (2023). Urban Heat Island Dynamics in African Megacities: A Multi-Sensor Remote Sensing Approach. SpatioNEX Research.
Dr. Sarah Chen, Mohammed Bello. "Urban Heat Island Dynamics in African Megacities: A Multi-Sensor Remote Sensing Approach." SpatioNEX Research, 2023.
Dr. Sarah Chen, Mohammed Bello. "Urban Heat Island Dynamics in African Megacities: A Multi-Sensor Remote Sensing Approach." SpatioNEX Research (2023).
@article{spationex,
title={Urban Heat Island Dynamics in African Megacities: A Multi-Sensor Remote Sensing Approach},
author={Dr. Sarah Chen, Mohammed Bello},
journal={SpatioNEX Research},
year={2023},
volume={null},
pages={null},
doi={null}
}Urban Heat Island (UHI) effect is increasingly critical in rapidly urbanizing African cities. This study analyzes UHI patterns in three African megacities using multi-temporal remote sensing data from 2000-2023.
Data and Methods
• Landsat 5/7/8/9 Thermal Infrared Sensors (TIRS)
• MODIS Land Surface Temperature (LST) products
• Sentinel-2 for NDVI calculation
• Statistical analysis using Pearson correlation and multiple linear regression
Results
1. Average UHI intensity increased by 2.3°C in Nairobi (2000-2023)
2. Strong negative correlation between LST and NDVI: r = -0.78
3. Industrial areas showed 4.2°C higher temperatures than vegetated areas
4. Proposed green infrastructure could reduce UHI by 1.5-2.0°C
Publication Details
Keywords
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