Groundwater Storage Estimation in the Saskatchewan River Basin Using GRACE/GRACE-FO Gravimetric Data and Machine Learning

Groundwater Storage Estimation in the Saskatchewan River Basin Using GRACE/GRACE-FO Gravimetric Data and Machine Learning

Climate change is having a significant impact on groundwater storage, affecting water resources in many parts of the world. To characterize this impact, remote sensing and machine learning are essential tools to analyze the data accurately and efficiently. This study aims to predicting the variation...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohamed Hamdi, Anas El Alem, Kalifa Goita
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Atmosphere
Subjects:
climate change
groundwater storage
remote sensing
machine learning
groundwater potential map
Saskatchewan River Basin
Online Access:https://www.mdpi.com/2073-4433/16/1/50
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items