Modeling land use/land cover changes using quad hybrid machine learning model in Bangweulu wetland and surrounding areas, Zambia

Modeling land use/land cover changes using quad hybrid machine learning model in Bangweulu wetland and surrounding areas, Zambia

Wetlands are among the most productive natural ecosystems globally, providing crucial ecosystem services to people. Regrettably, a substantial 64 % –71 % of wetlands have been lost worldwide since 1900, mainly due to changes in land use and land cover (LULC). This issue is not unique to Zambia'...

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Bibliographic Details
Main Authors: Misheck Lesa Chundu, Kawawa Banda, Chisanga Lyoba, Greyfold Tembo, Henry M. Sichingabula, Imasiku A. Nyambe
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Environmental Challenges
Subjects:
Bangweulu
Land use/land cover change
Landsat
Machine learning
Remote sensing
Wetland
Online Access:http://www.sciencedirect.com/science/article/pii/S2667010024000325

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http://www.sciencedirect.com/science/article/pii/S2667010024000325

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