Land-cover classification in Addo Elephant National Park: Analyzing the impact of variables, classifiers, and object-based approach

Land-cover classification in Addo Elephant National Park: Analyzing the impact of variables, classifiers, and object-based approach

A comprehensive understanding of land-use and land-cover (LULC) dynamics is vital in steering effective conservation and management efforts, especially in ecologically rich regions like Addo Elephant National Park (AENP). Despite its importance, up-to-date LULC maps of AENP remain scarce, needing an...

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Bibliographic Details
Main Authors: Mohammad Safaei, Jane Southworth, Cerian Gibbes, Hannah V. Herrero, Mashoukur Rahaman, Bewuket B. Tefera, Jason K. Blackburn
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Ecological Informatics
Subjects:
Land-use and land-cover
Addo Elephant National Park
Deep learning
Change detection
Spectral mixture analysis
Google earth engine
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125002882
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