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Open access Oct 2026

Application of Machine Learning in Reconstructing Continuous Daily Water Table Depth from Sparse Data and Wetland Hydrology Assessment in the Forested Wetland Systems

Water table depth (WTD) is a key control on wetland ecology, hydrology, and forest productivity in coastal plain landscapes, yet continuous groundwater records are rarely available. This limitation makes it difficult to quantify climate controls on groundwater response and derive wetland hydrology indicators. This stud...

Kayode Adebayo, S. Mehan, D. Amatya · 0 citations

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