Development of a new algorithm of suspended sediment concentration from satellite remote sensing data in the East China Sea

2009 ◽  
Author(s):  
Zhihua Mao ◽  
Qiankun Zhu ◽  
Fang Gong
Keyword(s):  
Remote Sensing ◽  
Suspended Sediment ◽  
East China Sea ◽  
Satellite Remote Sensing ◽  
Suspended Sediment Concentration ◽  
Remote Sensing Data ◽  
Sediment Concentration ◽  
East China ◽  
The East China Sea ◽  
Sensing Data

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

Temporal and spatial variation in phytoplankton biomass based on remote sensing data in the East China Sea

2017 ◽  
Vol 37 (23) ◽  
Author(s):  
党晓岩 DANG Xiaoyan ◽  
伍玉梅 WU Yumei ◽  
樊伟 FAN Wei ◽  
纪世建 JI Shijian ◽  
杨胜龙 YANG Shenglong
Keyword(s):  
Remote Sensing ◽  
Spatial Variation ◽  
East China Sea ◽  
Phytoplankton Biomass ◽  
Remote Sensing Data ◽  
East China ◽  
The East China Sea ◽  
Temporal And Spatial Variation ◽  
Sensing Data ◽  
Temporal And Spatial

Research on the Coastal Suspended Sediment Movement of Matakong Island in Guinea, Africa Based on Remote Sensing Data

2013 ◽  
Vol 333-335 ◽  
pp. 275-279
Author(s):  
Yin Cai ◽  
Hong Bo Zhao ◽  
Shu Hua Zuo
Keyword(s):  
Remote Sensing ◽  
Suspended Sediment ◽  
Suspended Sediment Concentration ◽  
Remote Sensing Data ◽  
Sediment Concentration ◽  
Concentration Data ◽  
Sediment Distribution ◽  
Sensing Data ◽  
Sediment Movement ◽  
Wide Range

A wide range of suspended sediment concentration can be obtained by satellite remote sensing. According to the multi-temporal remote sensing data and quasi-simultaneously surface sediment concentration data, research works on the surface suspended sediment distribution and movement trends of Matakong coastal area, Africa were carried out. The results showed that the suspended sediment concentration of the studied area is not large, and the sediment movement is not active. The sediment source comes from the nearshore shallow flats, where they could be entrained by the wind waves and then diffuses by the tidal currents.

scholarly journals Automatic calibration of a large-scale sediment model using suspended sediment concentration, water quality, and remote sensing data

RBRH ◽  
2019 ◽  
Vol 24 ◽  
Author(s):  
Hugo de Oliveira Fagundes ◽  
Fernando Mainardi Fan ◽  
Rodrigo Cauduro Dias de Paiva
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Suspended Sediment ◽  
Large Scale ◽  
Suspended Sediment Concentration ◽  
Remote Sensing Data ◽  
Sediment Concentration ◽  
Spatial Discretization ◽  
Calibration And Validation ◽  
Sediment Model

ABSTRACT Calibration and validation are two important steps in the application of sediment models requiring observed data. This study aims to investigate the potential use of suspended sediment concentration (SSC), water quality and remote sensing data to calibrate and validate a large-scale sediment model. Observed data from across 108 stations located in the Doce River basin was used for the period between 1997-2010. Ten calibration and validation experiments using the MOCOM-UA optimization algorithm coupled with the MGB-SED model were carried out, which, over the same period of time, resulted in 37 calibration and 111 validation tests. The experiments were performed by modifying metrics, spatial discretization, observed data and parameters of the MOCOM-UA algorithm. Results generally demonstrated that the values of correlation presented slight variations and were superior in the calibration step. Additionally, increasing spatial discretization or establishing a background concentration for the model allowed for improved results. In a station with high quantity of SSC data, calibration improved the ENS coefficient from -0.44 to 0.44. The experiments showed that the spectral surface reflectance, total suspended solids and turbidity data have the potential to enhance the performance of sediment models.

Sign in / Sign up

Export Citation Format

Share Document