Estimating Lake Water Volume With Regression and Machine Learning Methods

Estimating Lake Water Volume With Regression and Machine Learning Methods

The volume of a lake is a crucial component in understanding environmental and hydrologic processes. The State of Minnesota (USA) has tens of thousands of lakes, but only a small fraction has readily available bathymetric information. In this paper we develop and test methods for predicting water vo...

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Bibliographic Details
Main Authors: Chelsea Delaney, Xiang Li, Kerry Holmberg, Bruce Wilson, Adam Heathcote, John Nieber
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Water
Subjects:
bathymetry
lake volume
scale analysis
machine learning
Minnesota
Online Access:https://www.frontiersin.org/articles/10.3389/frwa.2022.886964/full

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