A Weighted Algorithm Based on Normalized Mutual Information for Estimating the Chlorophyll-a Concentration in Inland Waters Using Geostationary Ocean Color Imager (GOCI) Data-Reference-Cited by-同舟云学术

A Weighted Algorithm Based on Normalized Mutual Information for Estimating the Chlorophyll-a Concentration in Inland Waters Using Geostationary Ocean Color Imager (GOCI) Data

Published:2015-09-14 Issue:9 Volume:7 Page:11731-11752
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Bao Ying,Tian Qingjiu,Chen Min

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/7/9/11731/pdf

Reference49 articles.

1. Estimating constituent concentrations in case II waters from MERIS satellite data by semi-analytical model optimizing and look-up tables

2. Evaluation of remote sensing algorithms for cyanobacterial pigment retrievals during spring bloom formation in several lakes of East China

3. Quantitative detection of chlorophyll in cyanobacterial blooms by satellite remote sensing

4. Remote chlorophyll-a estimates for inland waters based on a cluster-based classification

5. Estimation of Chlorophyll a Concentration Using NIR/Red Bands of MERIS and Classification Procedure in Inland Turbid Water

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