Analyzing Land Cover Changes (2013-2024) Using Remote Sensing: A Case Study of Lagos City, Nigeria
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F25%3A10257958" target="_blank" >RIV/61989100:27350/25:10257958 - isvavai.cz</a>
Result on the web
<a href="https://journals.sfu.ca/ijg/index.php/journal/article/view/4167/2173" target="_blank" >https://journals.sfu.ca/ijg/index.php/journal/article/view/4167/2173</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.52939/ijg.v21i5.4167" target="_blank" >10.52939/ijg.v21i5.4167</a>
Alternative languages
Result language
angličtina
Original language name
Analyzing Land Cover Changes (2013-2024) Using Remote Sensing: A Case Study of Lagos City, Nigeria
Original language description
This study examines land cover changes in Lagos State, Nigeria, utilizing remote sensing techniques to understand the dynamics and implications of land cover changes emanating from rapid urbanization processes. In the use of Landsat satellite images spanning 2013 to 2024, a supervised classification technique was utilized in categorizing land cover into five classes namely: bare soil, vegetation, canopy, water, and built-up areas. The analysis revealed that there was significant upshot in built-up and bare soil areas, accompanied by a decline in canopy and vegetation, highlighting the environmental and socio-economic urbanization pressure. Notable findings include the identification of land cover transitions which are dominant, such as the conversion of vegetation and canopy to built-up areas, as well as evidence of land cover change intensifications near water bodies. This study highlights the potential of remote sensing for tracking land cover changes and offers insights for sustainable urban planning and environmental conservation. These findings contribute to the understanding of urban growth and land cover change patterns in cities which are developing rapidly and emphasize the importance of the integration of geospatial tools into environmental planning and policy frameworks. © Geoinformatics International.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20705 - Remote sensing
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Geoinformatics
ISSN
1686-6576
e-ISSN
2673-0014
Volume of the periodical
21
Issue of the periodical within the volume
5
Country of publishing house
TH - THAILAND
Number of pages
9
Pages from-to
123-131
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105008143043