Dense Time Series Generation of Surface Water Extents through Optical–SAR Sensor Fusion and Gap Filling

Dense Time Series Generation of Surface Water Extents through Optical–SAR Sensor Fusion and Gap Filling

Surface water is a vital component of the Earth’s water cycle and characterizing its dynamics is essential for understanding and managing our water resources. Satellite-based remote sensing has been used to monitor surface water dynamics, but cloud cover can obscure surface observations, particularl...

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Bibliographic Details
Main Authors: Kel N. Markert, Gustavious P. Williams, E. James Nelson, Daniel P. Ames, Hyongki Lee, Robert E. Griffin
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Remote Sensing
Subjects:
surface water mapping
SAR and optical data
data fusion
gap filling
Google Earth Engine
Online Access:https://www.mdpi.com/2072-4292/16/7/1262

Internet

https://www.mdpi.com/2072-4292/16/7/1262

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