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Machine learning model based analysis of land use land cover change and assessing its potential impact on surface runoff in meki watershed, rift valley lakes basin, Ethiopia

Abstract Land use and land cover change (LULCC), predominantly driven by human endeavors such as urbanization and agricultural intensification, has become a significant global problem. The primary aim of this research was to evaluate the effects of LULCC on surface runoff in the Meki watershed. The...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Albeza Asfaw Molla, Abella Kemal Mohammed, Ermiyas Asfaw Molla, Otoma Orkaido Garo
Format: Artigo
Sprache:Inglês
Veröffentlicht: SpringerOpen 2026-03-01
Schriftenreihe:Environmental Systems Research
Schlagworte:
LULCC
Surface Runoff
Meki Watershed
Google Earth Engine
And SWAT Model
Online-Zugang:https://doi.org/10.1186/s40068-026-00470-6
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