What question did this study set out to answer?

To evaluate decadal urban growth dynamics and land cover transformations in Lagos from 1990 to 2020 to understand drivers of recurrent urban flooding.

January 1, 2021Geomatics Natural Hazards and RiskOpen Access

Analyzing urban growth and land cover change scenario in Lagos, Nigeria using multi-temporal remote sensing data and GIS to mitigate flooding

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Authors

AKAuwalu Faisal KokoBaze University YWYue WuAstronomy and Space GAGhali Abdullahi AbubakarZhejiang University

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Implication

Geospatial analysis reveals built-up land expansion and massive loss of natural drainage surfaces in Lagos, highlighting drivers of severe urban flooding.

Key Points

To evaluate decadal urban growth dynamics and land cover transformations in Lagos from 1990 to 2020 to understand drivers of recurrent urban flooding.
Analyzed multi-temporal United States Geological Survey satellite imagery across 10-year intervals from 1990 to 2020.
Applied maximum likelihood classification alongside post-classification change detection to evaluate spatial land cover trajectories.
Built-up area expanded across three distinct phases from 496 km2 in 1990 to 860 km2 in 2000, 1113 km2 in 2010, and over 1256 km2 in 2020.
Vegetation, water bodies, and bare soil declined by approximately 398 km2, 246 km2, and 115 km2, respectively, between 1990 and 2020, exacerbating urban flood risk.

Cite This Study

Koko et al. (2021) studied this question.

synapsesocial.com/papers/69ce3f0331b0b13156101046 https://doi.org/10.1080/19475705.2021.1887940

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Implication

Geospatial analysis reveals built-up land expansion and massive loss of natural drainage surfaces in Lagos, highlighting drivers of severe urban flooding.

Analyzing urban growth and land cover change scenario in Lagos, Nigeria using multi-temporal remote sensing data and GIS to mitigate flooding

Discussion

Member takes

Implication

Key Points

Cite This Study

Analyzing urban growth and land cover change scenario in Lagos, Nigeria using multi-temporal remote sensing data and GIS to mitigate flooding

Discussion

Member takes

Implication

Key Points

Cite This Study

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