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

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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Bibliographic Details
Main Authors: Christian Jonathan Anoma Kouassi, Chen Qian, Dilawar Khan, Lutumba Suika Achille, Zhang Kebin, James Kehinde Omifolaji, Xiaohui Yang
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2023-03-01
Series:Geodesy and Cartography
Subjects:
supervised classification
land-use/land-cover
Google Earth Engine
Random Forest
accuracy assessment
deforestation
Online Access:https://jbem.vgtu.lt/index.php/GAC/article/view/16805

Internet

https://jbem.vgtu.lt/index.php/GAC/article/view/16805

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