Simple methods for satellite identification of algal blooms and species using 10-year time series data from the East China Sea-Reference-Cited by-同舟云学术

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Simple methods for satellite identification of algal blooms and species using 10-year time series data from the East China Sea

Published:2019-12 Issue: Volume:235 Page:111484
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Shen Fang,Tang Rugang,Sun Xuerong,Liu Dongyan

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Belgian Science Policy Office

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference68 articles.

1. Detecting the red tide algal blooms from satellite ocean color observations in optically complex Northeast-Asia Coastal waters;Ahn;Remote Sens. Environ.,2006

2. Algal Culturing Techniques,2005

3. A review of ocean color remote sensing methods and statistical techniques for the detection, mapping and analysis of phytoplankton blooms in coastal and open oceans;Blondeau-Patissier;Prog. Oceanogr.,2014

4. Natural variability of phytoplanktonic absorption in oceanic waters: influence of the size structure of algal populations;Bricaud;J. Geophys. Res. Oceans,2004

5. Spectral absorption coefficients of living phytoplankton and nonalgal biogenous matter: a comparison between the Peru upwelling area and the Sargasso Sea;Bricaud;Limnol. Oceanogr.,1990

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