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Google Earth Engine for Landsat image processing and assessing LULC classification in southwestern Côte D’ivoire

High-accuracy land use and land cover maps (LULC) are increasingly in demand for environmental management and decision-making. Despite the limitation, Machine learning classifiers (MLC) fill the gap in any complex issue related to LULC data accuracy. Visualizing land-cover information is critical i...

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Furkejuvvon:
Váldodahkkit: Christian Jonathan Anoma Kouassi, Chen Qian, Dilawar Khan, Lutumba Suika Achille, Zhang Kebin, James Kehinde Omifolaji, Xiaohui Yang
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: Vilnius Gediminas Technical University 2023-03-01
Ráidu:Geodesy and Cartography
Fáttát:
supervised classification
land-use/land-cover
Google Earth Engine
Random Forest
accuracy assessment
deforestation
Liŋkkat:https://jbem.vgtu.lt/index.php/GAC/article/view/16805
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