Optimization of Landsat Chl-<i>a</i> Retrieval Algorithms in Freshwater Lakes through Classification of Optical Water Types

Optimization of Landsat Chl-<i>a</i> Retrieval Algorithms in Freshwater Lakes through Classification of Optical Water Types

The application of remote sensing data to empirical models of inland surface water chlorophyll-a concentrations (chl-<i>a</i>) has been in development since the launch of the Landsat 4 satellite series in 1982. However, establishing an empirical model using a chl-<i>a</i> ret...

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Bibliographic Details
Main Authors: Michael A. Dallosch, Irena F. Creed
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Remote Sensing
Subjects:
optical water types
phytoplankton
algal blooms
Landsat
water quality
lakes
Online Access:https://www.mdpi.com/2072-4292/13/22/4607

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