Advancing Scalable Methods for Surface Water Monitoring: A Novel Integration of Satellite Observations and Machine Learning Techniques

Advancing Scalable Methods for Surface Water Monitoring: A Novel Integration of Satellite Observations and Machine Learning Techniques

Accurate surface water volume (SWV) estimates are crucial for effective water resource management and for the regional monitoring of hydrological trends. This study introduces a multi-resolution surface water volume estimation framework that integrates ICESat-2 altimetry, Sentinel-1 Synthetic Apertu...

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Bibliographic Details
Main Authors: Megan Renshaw, Lori A. Magruder
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Geosciences
Subjects:
ICESat-2
GRACE-FO
machine learning
hydrology
Sentinel-2
surface water volume
Online Access:https://www.mdpi.com/2076-3263/15/7/255
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https://www.mdpi.com/2076-3263/15/7/255

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