Deriving colored dissolved organic matter absorption coefficient from ocean color with a neural quasi-analytical algorithm-Reference-Cited by-同舟云学术

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Deriving colored dissolved organic matter absorption coefficient from ocean color with a neural quasi-analytical algorithm

Published:2017-11 Issue:11 Volume:122 Page:8543-8556
ISSN:2169-9275
Container-title:Journal of Geophysical Research: Oceans
language:en
Short-container-title:J. Geophys. Res. Oceans

Author:

Chen Jun¹²,He Xianqiang¹,Zhou Bin³,Pan Delu¹^ORCID

Affiliation:

1. State Key Laboratory of Satellite Ocean Environment Dynamics; Second Institute of Oceanography, State Oceanic Administration; Hangzhou China

2. School of Human Settlements and Civil Engineering; Xi'an Jiaotong University; Xi'an China

3. Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University; Hangzhou China

Funder

National Natural Science Foundation of China

Joint Compilation of Serial Maps on Hydrogeology and Environmental Geology of 5 Countries on Indo-China Peninsula

Key Public Welfare Project of Zhejiang Provincial Department of Science and Technology

Natural Science Foundation of Zhejiang Province

Publisher

American Geophysical Union (AGU)

Subject

Earth and Planetary Sciences (miscellaneous),Space and Planetary Science,Geochemistry and Petrology,Geophysics,Oceanography

Reference46 articles.

1. A multi-sensor approach for the on-orbit validation of ocean color satellite data products;Bailey;Remote Sens. Environ.,2006

2. Absorption by dissolved organic matter of sea (yellow substance) in the UV and visible domains;Bricaud;Limnol. Oceanogr.,1981

3. A new algorithm to retrieve chromophoric dissolved organic matter (CDOM) absorption spectra in the UV from ocean color;Cao;J. Geophys. Res. Oceans,2015

4. Spectral geometric triangle properties of chlorophyll-a inversion in Taihu Lake based on TM data;Chen;J. Water Resour. Proj.,2011

5. Remote sensing of absorption and scattering coefficient using neural network model: development, validation, and application, Remote;Chen;Sens. Environ.,2014

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