Statistical estimation of Rosetta branch water quality using multi-spectral data

El-Saadi, Aiman; Yousry, Mohsen; Jahin, Hossam S.

doi:10.1016/j.wsj.2014.10.001

Cited by 39 publications

(16 citation statements)

References 8 publications

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“…Considering that optical properties of water can be altered by variations in the concentration of parameters related to its quality (Pavelsky & Smith, 2009) and that there is no restriction in obtaining and using satellite imagery from the Landsat program, algorithms have been developed that have favored the accessibility and efficiency of monitoring water quality parameters through Remote Sensing (RS) techniques (He et al, 2008;El Saadi et al, 2014). The main benefit of RS via satellites for the evaluation of water quality is the production of synoptic views without the need for costly on-site surveys (Hadjimitsis et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Use of LANDSAT 8 images for depth and water quality assessment of El Guájaro reservoir, Colombia

González-Márquez

Torres-Bejarano

Torregroza-Espinosa

et al. 2018

Journal of South American Earth Sciences

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The aim of this study was to evaluate the viability of using Landsat 8 spectral images to estimate water quality parameters and depth in El Guájaro Reservoir. On February and March 2015, two samplings were carried out in the reservoir, coinciding with the Landsat 8 images. Turbidity, dissolved oxygen, electrical conductivity, pH and depth were evaluated. Through multiple regression analysis between measured water quality parameters and the reflectance of the pixels corresponding to the sampling stations, statistical models with determination coefficients between 0.6249 and 0.9300 were generated. Results indicate that from a small number of measured parameters we can generate reliable models to estimate the spatial variation of turbidity, dissolved oxygen, pH and depth, as well the temporal variation of electrical conductivity, so models generated from Landsat 8 can be used as a tool to facilitate the environmental, economic and social management of the reservoir.

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Section: Introductionmentioning

confidence: 99%

Use of LANDSAT 8 images for depth and water quality assessment of El Guájaro reservoir, Colombia

González-Márquez

Torres-Bejarano

Torregroza-Espinosa

et al. 2018

Journal of South American Earth Sciences

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“…Presently, all of the TP concentration remote sensing estimation studies are based on empirical methods, which can be divided into two methods. 1) The first method is direct derivation, which uses the statistical linear or non-linear relationship between the reflectance and the in situ P concentration to derive the TP concentration [10][11][12]20,[22][23][24]. Although the algorithm deduced often has a high accuracy, the complex debugging process and algorithm structure cannot explain the estimation mechanism clearly.…”

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confidence: 99%

“…The existing remote sensing estimation algorithms of the TP concentration are derived from empirical methods, which can be divided into direct derivation and indirect derivation. Most of the studies only develop the algorithm, do not use the algorithm in other lakes or different environments, the algorithm performance is not discussed [12,20,[23][24][25]27,28].The goal of this research is to develop an algorithm for the TP estimation in Lake Hongze using MODIS/Aqua. The main objectives are to: (1) Compare the accuracy of the direct derivation algorithm and indirect derivation algorithm, to determine the optimal method and discuss the uncertainty of the optimal algorithm; (2) the rationality and performance evaluation of the optimal algorithm, and the applicability of these two modeling methods in other lakes is discussed.…”

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Remote Sensing Estimation of Lake Total Phosphorus Concentration Based on MODIS: A Case Study of Lake Hongze

Xiong

Lin

et al. 2019

Remote Sensing

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Phosphorus (P) is an important substance for the growth of phytoplankton and an efficient index to assess the water quality. However, estimation of the TP concentration in waters by remote sensing must be associated with optical substances such as the chlorophyll-a (Chla) and the suspended particulate matter (SPM). Based on the good correlation between the suspended inorganic matter (SPIM) and P in Lake Hongze, we used the direct and indirect derivation methods to develop algorithms for the total phosphorus (TP) estimation with the MODIS/Aqua data. Results demonstrate that the direct derivation algorithm based on 645 nm and 1240 nm of the MODIS/Aqua performs a satisfied accuracy (R2 = 0.75, RMSE = 0.029mg/L, MRE = 39% for the training dataset, R2 = 0.68, RMSE = 0.033mg/L, MRE = 47% for the validate dataset), which is better than that of the indirect derivation algorithm. The 645 nm and 1240 nm of MODIS are the main characteristic band of the SPM, so that algorithm can effectively reflect the P variations in Lake Hongze. Additionally, the ratio of the TP to the SPM is positively correlated with the accuracy of the algorithm as well. The proportion of the SPIM in the SPM has a complex effect on the accuracy of the algorithm. When the SPIM accounts for 78%, the algorithm achieves the highest accuracy. Furthermore, the performance of this direct derivation algorithm was examined in two inland lakes in China (Lake Nanyi and Lake Chaohu), it derived the expected P distribution in Lake Nanyi whereas the algorithm failed in Lake Chaohu. Different water properties influence significantly the accuracy of this direct derivation algorithm, while the TP, Chla, and suspended particular inorganic matter (SPOM) of Lake Chaohu are much higher than those of the other two lakes, thus it is difficult to estimate the TP concentration by a simple band combination in Lake Chaohu. Although the algorithm depends on the dataset used in the development, it usually presents a good estimation for those waters where the SPIM dominated, especially when the SPIM accounts for 60% to 80% of the SPM. This research proposed a direct derivation algorithm for the TP estimation for the turbid lake and will provide a theoretical and practical reference for extending the optical remote sensing application and the TP empirical algorithm of Lake Hongze’s help for the local government management water quality.

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“…Công nghệ viễn thám với dữ liệu ảnh đa phổ, đa thời gian có khả năng giám sát liên tục sự biến động chất lượng nước (độ đục, độ mặn, chất rắn lơ lửng, …) trên phạm vi rộng lớn mà không bị hạn chế bởi số lượng trạm quan trắc. Trên thế giới đã có các nghiên cứu ứng dụng viễn thám để giám sát độ mặn trong nước thông qua khảo sát tương quan giữa giá trị phổ của ảnh vệ tinh và độ mặn đo ở thực địa [1,3,4]. Mối tương quan có ý nghĩa thống kê được tìm thấy giữa độ mặn thực địa và giá trị phản xạ phổ của các kênh ảnh trong dải sóng khả kiến và cận hồng ngoại [7].…”

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Evaluating salinity intrusion in estuaries using remote sensing data integrated in-situ observation

Nguyen

Tran

2019

Sci. Tech. Dev. J.-Sci. Earth Environ.

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Saline intrusion reduces crop productivity, causes land degradation, decreases water quality, and severely affects agricultural production, the environment as well as livelihoods. Under the evolution of climate change and human activities from the upstream of the Mekong, the downstream areas of Dinh An and Cung Hau estuaries in Tra Vinh province are also significantly affected by saline intrusion from the East Sea. This article presents the integrated solution of remote sensing and GIS in monitoring and mapping salinity intrusion. The data used are Landsat 8 satellite images combined with salinity water monitoring data collected from actual observation stations during the dry season. Analysis showed that there was a statistically significant correlation between the observed salinity value of the water and the pixel value of the first principal component image. Simulation of spatial distribution from the study indicates that saline intrusion is now entering the interior with a distance from the estuary to about 30 - 48 km depending on the time of the dry season. The results of this study will assist managers in planning food safety strategies at the risk of saline intrusion.

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Statistical estimation of Rosetta branch water quality using multi-spectral data

Cited by 39 publications

References 8 publications

Use of LANDSAT 8 images for depth and water quality assessment of El Guájaro reservoir, Colombia

Use of LANDSAT 8 images for depth and water quality assessment of El Guájaro reservoir, Colombia

Remote Sensing Estimation of Lake Total Phosphorus Concentration Based on MODIS: A Case Study of Lake Hongze

Evaluating salinity intrusion in estuaries using remote sensing data integrated in-situ observation

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