Application of Ocean Remote Sensing in the Detection of Harmful Algal Blooms in the East China Sea

2010 ◽  
Author(s):  
Li Shen ◽  
Huiping Xu ◽  
Kang Xiao
Keyword(s):  
Remote Sensing ◽  
East China Sea ◽  
Harmful Algal Blooms ◽  
Algal Blooms ◽  
East China ◽  
The East China Sea ◽  
China Sea ◽  
Ocean Remote Sensing

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

An ENVI+IDL+ArcEngine Tool for Detecting Harmful Algal Blooms in East China Sea

2012 ◽  
Vol 239-240 ◽  
pp. 587-594
Author(s):  
Chen Zeng ◽  
Hui Ping Xu ◽  
He Xia Zhang
Keyword(s):  
East China Sea ◽  
Harmful Algal Blooms ◽  
Algal Blooms ◽  
Query Language ◽  
Measurement Data ◽  
Third Party ◽  
East China ◽  
General View ◽  
Original Design ◽  
China Sea

This paper designs and develops a tool for detecting HABS from ENVI+IDL+ArcEngine. With a friendly and artistic interface offered by third party control, this tool provides a function of HABs monitoring in East China Sea via Remote Sensing Images inversion. Through rows of buttons on the menu bar, this tool allows calculating spectrum reflectance, browsing field work data, interpolating in situ measurement data, retrieving water property parameters, and detecting HABs position by the threshold of chlorophyll-a and sea surface temperature. Data management module programmed in Structured Query Language (SQL) in our tool simplifies the data process and stores a large amount of information. This paper elaborates the original design, functional modules, and multi data sources that gives a general view toward this tool.

scholarly journals Atmospheric and Fluvial Nutrients Fuel Algal Blooms in the East China Sea

2017 ◽  
Vol 4 ◽  
Author(s):  
Katherine R. M. Mackey ◽  
Maria T. Kavanaugh ◽  
Fujiang Wang ◽  
Ying Chen ◽  
Fei Liu ◽  
...  
Keyword(s):  
East China Sea ◽  
Algal Blooms ◽  
East China ◽  
The East China Sea ◽  
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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