Remote sensing algorithm of particle attenuation coefficient in East China Sea

2008 ◽  
Author(s):  
Yan Bai ◽  
Xianqiang He ◽  
Delu Pan ◽  
Zengzhou Hao ◽  
Qingjun Song ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Attenuation Coefficient ◽  
East China Sea ◽  
East China ◽  
China Sea ◽  
Remote Sensing Algorithm

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

scholarly journals Diurnal Variation of the Diffuse Attenuation Coefficient for Downwelling Irradiance at 490 nm in Coastal East China Sea

2021 ◽  
Vol 13 (9) ◽  
pp. 1676
Author(s):  
Yu Zhang ◽  
Zhantang Xu ◽  
Yuezhong Yang ◽  
Guifen Wang ◽  
Wen Zhou ◽  
...  
Keyword(s):  
Diurnal Variation ◽  
Attenuation Coefficient ◽  
East China Sea ◽  
East China ◽  
Coefficient Of Determination ◽  
Target Area ◽  
Diffuse Attenuation Coefficient ◽  
China Sea ◽  
Mean Square Errors ◽  
Downwelling Irradiance

The diurnal variation of the diffuse attenuation coefficient for downwelling irradiance at 490 nm (Kd(490)) has complex characteristics in the coastal regions. However, owing to the scarcity of in situ data, our knowledge on the diurnal variation is inadequate. In this study, an optical-buoy dataset was used to investigate the diurnal variation of Kd(490) in the coastal East China Sea, and to evaluate the Kd(490) L2 products of geostationary ocean color imager (GOCI), as well as the performance of six empirical algorithms for Kd(490) estimation in the Case-2 water. The results of validation show that there was high uncertainty in GOCI L2 Kd(490), with mean absolute percentage errors (MAPEs) of 69.57% and 68.86% and root mean square errors (RMSEs) of 0.70 and 0.71 m−1 compared to buoy-measured Kd12(490) and Kd13(490), respectively. Meanwhile, with the coefficient of determination (R2) of 0.71, as well as the lowest MAPE of 27.31% and RMSE of 0.29 m−1, the new dual ratio algorithm (NDRA) performed the best in estimating Kd(490) in the target area, among the six algorithms. Further, four main types of Kd(490) diurnal variation were found from buoy data, showing different variabilities compared to the area closer to the shore. One typical diurnal variation pattern showed that Kd(490) decreased at flood tide and increased at ebb tide, which was confirmed by GOCI images through the use of NDRA. Hydrometeorological factors influencing the diurnal variations of Kd(490) were also studied. In addition to verifying the predominant impact of tide, we found that the dominant effect of tide and wind on the water column is intensifying sediment resuspension, and the change of sediment transport produced by them are secondary to it.

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

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

scholarly journals Aerosol effect on cloud droplet size as monitored from surface-based remote sensing over East China Sea region

2009 ◽  
Vol 36 (13) ◽  
Author(s):  
G. Pandithurai ◽  
T. Takamura ◽  
J. Yamaguchi ◽  
K. Miyagi ◽  
T. Takano ◽  
...  
Keyword(s):  
Remote Sensing ◽  
East China Sea ◽  
Droplet Size ◽  
Cloud Droplet ◽  
East China ◽  
China Sea ◽  
Aerosol Effect
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