Predicting priority management areas for land use/cover change in the transboundary Okavango basin based on machine learning

Predicting priority management areas for land use/cover change in the transboundary Okavango basin based on machine learning

Remote sensing and modelling of land use/land cover (LULC) change is useful to reveal the extent and spatial patterns of landscape changes at various environments and scales. Predicting susceptibility to LULC change is crucial for policy formulation and land management. However, the use of machine l...

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Bibliographic Details
Main Authors: Blessing Kavhu, Zama Eric Mashimbye, Linda Luvuno
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Heliyon
Subjects:
Landcover trajectories
Water resources
Transboundary basin
Post-Angolan war
Machine learning
Ensemble modelling
Online Access:http://www.sciencedirect.com/science/article/pii/S240584402309970X

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http://www.sciencedirect.com/science/article/pii/S240584402309970X

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