Remote sensing model and dynamic mechanism for seasonal changes of the euphotic depth in the East China Sea

2003 ◽  
Vol 13 (11) ◽  
pp. 826-830 ◽  
Author(s):  
Guosheng Li ◽  
Shilin Yang ◽  
Qiang Liang
Keyword(s):  
Remote Sensing ◽  
East China Sea ◽  
Seasonal Changes ◽  
Dynamic Mechanism ◽  
East China ◽  
The East China Sea ◽  
Euphotic Depth ◽  
China Sea ◽  
Remote Sensing Model ◽  
Sensing Model

scholarly journals REMOTE SENSING OF AEROSOL OPTICAL THICKNESS ON THE EAST CHINA SEA

2001 ◽  
Vol 9 ◽  
pp. 175-180
Author(s):  
Shuichi HASEGAWA ◽  
Sachio OHTA ◽  
Naoto MURAO ◽  
Sadamu YAMAGATA
Keyword(s):  
Remote Sensing ◽  
East China Sea ◽  
Optical Thickness ◽  
Aerosol Optical Thickness ◽  
East China ◽  
The East China Sea ◽  
China Sea

scholarly journals Estimating dissolved organic carbon inventories in the East China Sea using remote-sensing data

2014 ◽  
Vol 119 (10) ◽  
pp. 6557-6574 ◽  
Author(s):  
Qiong Liu ◽  
Delu Pan ◽  
Yan Bai ◽  
Kai Wu ◽  
Chen-Tung Authur Chen ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Organic Carbon ◽  
Dissolved Organic Carbon ◽  
East China Sea ◽  
Remote Sensing Data ◽  
East China ◽  
The East China Sea ◽  
Sensing Data ◽  
China Sea

A regional remote sensing algorithm for total suspended matter in the East China Sea

2012 ◽  
Vol 124 ◽  
pp. 819-831 ◽  
Author(s):  
Zhihua Mao ◽  
Jianyu Chen ◽  
Delu Pan ◽  
Bangyi Tao ◽  
Qiankun Zhu
Keyword(s):  
Remote Sensing ◽  
East China Sea ◽  
Suspended Matter ◽  
Total Suspended Matter ◽  
East China ◽  
The East China Sea ◽  
China Sea ◽  
Remote Sensing Algorithm

Assessing depth-integrated phytoplankton biomass in the East China Sea using a unique empirical protocol to estimate euphotic depth

2015 ◽  
Vol 153 ◽  
pp. 74-85 ◽  
Author(s):  
Hiroshi Koshikawa ◽  
Hironori Higashi ◽  
Toru Hasegawa ◽  
Kou Nishiuchi ◽  
Hiroaki Sasaki ◽  
...  
Keyword(s):  
East China Sea ◽  
Phytoplankton Biomass ◽  
East China ◽  
The East China Sea ◽  
Euphotic Depth ◽  
China Sea

Remote Sensing of Floating Macroalgae Blooms in the East China Sea Based on UNet Deep Learning Model

2021 ◽  
Vol 41 (2) ◽  
pp. 0201002
Author(s):  
李潇凡 Li Xiaofan ◽  
王胜强 Wang Shengqiang ◽  
翁轩 Weng Xuan ◽  
孙德勇 Sun Deyong ◽  
张海龙 Zhang Hailong ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Deep Learning ◽  
East China Sea ◽  
Learning Model ◽  
East China ◽  
The East China Sea ◽  
China Sea ◽  
Deep Learning Model
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