Machine learning-based analysis of land use and land cover trends in southeastern Ethiopia using Google Earth Engine

Abstract Understanding land use and land cover (LULC) patterns and their changes is crucial for monitoring environmental dynamics, guiding sustainable resource use, and supporting sound land management decisions. However, in Southeastern Ethiopia, timely and detailed assessments of LULC changes rema...

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Bibliographic Details

Published in:	Discover Sustainability
Main Authors:	Tesfaye Bogale, Sileshi Degefa, Gemedo Dalle, Gebeyehu Abebe
Format:	Article
Language:	English
Published:	Springer 2025-08-01
Subjects:	Change detection Landsat Random forest Remote sensing Variable importance
Online Access:	https://doi.org/10.1007/s43621-025-01709-5