Victor Pellet

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Scholarly Papers (1)

1.

Improving Satellite Remote Sensing Estimates of the Global Terrestrial Water Cycle Via Neural Network Modeling

Number of pages: 48 Posted: 24 Feb 2024
Matthew Heberger, Filipe Aires and Victor Pellet
affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
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Abstract:

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Remote Sensing, Water cycle, Large-sample hydrology, Machine Learning, Neural Networks