Assessing climate and land use impacts on surface water yield using remote sensing and machine learning

Assessing climate and land use impacts on surface water yield using remote sensing and machine learning

Abstract Climate and land use changes are critical factors affecting watershed water yields, with significant implications for water resources at both local and regional levels. This study examined the combined effects of temporal and spatial climate variability and land use/land cover (LULC) change...

Full description

Saved in:
Bibliographic Details
Main Authors: Amanuel Kumsa Bojer, Muluneh Woldetsadik Abshare, Fitsum Mesfin, Ayad M. Fadhil Al-Quraishi
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Water yield model
Climate change
LULC change
Evapotranspiration
Integrated impact analysis
Gilgel gibe watershed
Online Access:https://doi.org/10.1038/s41598-025-03493-8
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-03493-8

Similar Items