Development of regression equation to study the Total Nitrogen, Total Phosphorus and Suspended Sediment using remote sensing data in Gujarat and Maharashtra coast of India

2017 ◽  
Vol 21 (6) ◽  
pp. 917-927 ◽  
Author(s):  
Merin Mariam Mathew ◽  
N. Srinivasa Rao ◽  
Venkata Ravibabu Mandla
Keyword(s):  
Remote Sensing ◽  
Suspended Sediment ◽  
Total Nitrogen ◽  
Total Phosphorus ◽  
Remote Sensing Data ◽  
Regression Equation ◽  
Sensing Data

Estimating the soil total phosphorus content based on hyper-spectral remote sensing data in the Min River estuarine wetland

2015 ◽  
Vol 35 (24) ◽  
Author(s):  
章文龙 ZHANG Wenlong ◽  
曾从盛 ZENG Congsheng ◽  
高灯州 GAO Dengzhou ◽  
陈晓艳 CHEN Xiaoyan ◽  
林伟 LIN Wei
Keyword(s):  
Remote Sensing ◽  
Total Phosphorus ◽  
Phosphorus Content ◽  
Remote Sensing Data ◽  
Total Phosphorus Content ◽  
Sensing Data ◽  
Estuarine Wetland ◽  
Min River ◽  
Hyper Spectral ◽  
River Estuarine

scholarly journals Remote Sensing Retrieval of Total Phosphorus in the Pearl River Channels Based on the GF-1 Remote Sensing Data

2020 ◽  
Vol 12 (9) ◽  
pp. 1420
Author(s):  
Shijun Lu ◽  
Ruru Deng ◽  
Yeheng Liang ◽  
Longhai Xiong ◽  
Xianjun Ai ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Total Phosphorus ◽  
Remote Sensing Data ◽  
Optically Active ◽  
Pearl River ◽  
Percentage Error ◽  
River Channels ◽  
Active Components ◽  
Sensing Data ◽  
The Pearl River

Total phosphorus (TP) concentration is one of the indicators for surface water quality evaluation. In this study, an indirect algorithm was proposed to retrieve TP concentration. This algorithm retrieves the TP concentration in urban waters based on Gaofen-1 (GF-1) remote sensing data. The algorithm uses the correlation between remote-sensing reflectance, optically significant constituents of water (chlorophyll, suspended sediment, and organic matter (excluding algae)), and TP to establish a retrieval model. First, the concentrations of optically active components are retrieved using a semi-analytical model. Second, the correlation between TP and optically active components is used to retrieve the TP concentration in waters. The GF-1 remote sensing data for 7 August 2015 were used to perform remote sensing retrieval of TP concentration in the Pearl River channels in Guangzhou, China. The results show that the TP concentration in most areas of the Front Channel, Western Channel, Guangzhou Channel, and the western part of the Back Channel was higher than 0.2 mg/L, while the TP concentration in the middle and eastern parts of the Back Channel was generally lower than 0.2 mg/L. The mean absolute percentage error of the retrieval is 24.18%. The experimental results show that the model is suitable for remote sensing retrieval of TP in urban waters in Guangzhou.

scholarly journals Estimation of Total Suspended Sediment Solid in Porong River Waters Using Multitemporal Satellite Imagery

2021 ◽  
Vol 936 (1) ◽  
pp. 012006
Author(s):  
Z N Ghuvita Hadi ◽  
T Hariyanto ◽  
N Hayati
Keyword(s):  
Remote Sensing ◽  
Suspended Sediment ◽  
Satellite Imagery ◽  
River Estuary ◽  
Remote Sensing Data ◽  
Google Earth ◽  
Landsat 8 ◽  
Sample Point ◽  
Sensing Data ◽  
Google Earth Engine

Abstract Monitoring the concentration of Total Suspended Solid (TSS) is one method to determine water quality, because a high TSS value indicates a high level of pollution. Remote sensing data can be used effectively in generating suspended sediment concentrations. Nowdays, Google Earth Engine platform has provided a large collection of remote sensing data. Therefore, this study uses Google Earth Engine which is processed for free and aims to calculate the TSS value in the Kali Porong area. This research was conducted multitemporal in the last ten years, namely from 2013-2021 using multitemporal satellite imagery landsat-8 and sentinel-2 by applying empirical algorithms for calculating TSS. The results of this study are the value of TSS concentration at each sample point and a multitemporal TSS concentration distribution map. The year 2016, 2017, and 2021, the distribution of TSS concentration values was higher than in other years. At the sample point, the lowest TSS concentration value was 16.55 mg/L in 2013. Meanwhile, the highest TSS concentration value of 266.33 mg/L occurred in 2014 precisely in the Porong River estuary area which is the border area between land and water. the sea so that a lot of TSS material is concentrated in the area due to waves and ocean currents.

scholarly journals Seasonal suspended sediment estimating models in Lake Taihu using remote sensing data

2007 ◽  
Vol 19 (3) ◽  
pp. 241-249 ◽  
Author(s):  
GUANG Jie ◽  
◽  
WEI Yuchun ◽  
HUANG Jiazhu ◽  
LI Yunmei ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Suspended Sediment ◽  
Lake Taihu ◽  
Remote Sensing Data ◽  
Sensing Data

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.

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