LULC change detection and future LULC modelling using RF and MLPNN-Markov algorithms in the uMngeni catchment, KwaZulu-Natal, South Africa

LULC change detection and future LULC modelling using RF and MLPNN-Markov algorithms in the uMngeni catchment, KwaZulu-Natal, South Africa

Water catchment areas are the key strategic water sources with a variety of ecological benefits. However, the trajectory of Land Cover and Land Use Changes (LULC-C change poses a significant threat to water catchment areas, negatively affecting water quality. Thus, the adoption of remote sensing dat...

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Bibliographic Details
Main Authors: Orlando Bhungeni, Michael Gebreslasie, Ashadevi Ramjatan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Environmental Science
Subjects:
random forest
LULC
landsat
change detection
uMngeni river catchment
South Africa
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2025.1543524/full
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