Integrated workflow for interpretation of satellite imageries using machine learning to assess and monitor algal blooms in Utah Lake, USA-Reference-Cited by-同舟云学术

Integrated workflow for interpretation of satellite imageries using machine learning to assess and monitor algal blooms in Utah Lake, USA

Published:2023-07 Issue: Volume:75 Page:102033
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Davis Robert,Panja Palash,McLennan John

Funder

Utah Department of Environmental Quality

University of Utah

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modeling,Modeling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference37 articles.

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4. Semianalytic Moderate-Resolution Imaging Spectrometer algorithms for chlorophylla and absorption with bio-optical domains based on nitrate-depletion temperatures;Carder;J. Geophys. Res. Oceans,1999

5. Mathematics for Machine Learning;Deisenroth,2020

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