Evaluation of tree-base data mining algorithms in land used/land cover mapping in a semi-arid environment through Landsat 8 OLI image; Shiraz, Iran

Evaluation of tree-base data mining algorithms in land used/land cover mapping in a semi-arid environment through Landsat 8 OLI image; Shiraz, Iran

Land Use Land Cover (LULC) mapping has been used in different environmental applications including disaster management, risk analysis, heat island mapping, and the effects of urbanization on environmental changes such as floods and droughts in the recent decade. The earth’s natural surface coverage...

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Bibliographic Details
Main Authors: Hossein Moayedi, Ali Jamali, Mohamed Barakat A. Gibril, Loke Kok Foong, Mehdi Bahiraei
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
land cover change
machine learning
tree-base data mining
semi-arid environment
Online Access:http://dx.doi.org/10.1080/19475705.2020.1745902

Internet

http://dx.doi.org/10.1080/19475705.2020.1745902

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