Variations in Spectral Absorption Properties of Phytoplankton, Non-algal Particles and Chromophoric Dissolved Organic Matter in Lake Qiandaohu

Shi, Lei; Mao, Zhihua; Wu, Jiaping; Liu, Mingliang; Zhang, Yiwei; Wang, Zheng

doi:10.3390/w9050352

Cited by 18 publications

(16 citation statements)

References 49 publications

(67 reference statements)

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“…This atmospheric correction has been adapted for OLI images [7]. Its good performance, relative to other atmospheric corrections used for monitoring of the water quality of lakes and reservoirs, was shown when such data were compared with in situ radiometric data obtained using an ASD-FR spectroradiometer [37,38].…”

Section: Methodology (A) Image Processingmentioning

confidence: 99%

Monitoring Coastal Lagoon Water Quality through Remote Sensing: The Mar Menor as a Case Study

Erena¹,

Domínguez

Aguado‐Giménez³

et al. 2019

Water

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The Mar Menor is a hypersaline coastal lagoon located in the southeast of Spain. This fragile ecosystem is suffering several human pressures, such as nutrient and sediment inputs from agriculture and other activities and decreases in salinity. Therefore, the development of an operational system to monitor its evolution is crucial to know the cause-effect relationships and preserve the natural system. The evolution and variability of the turbidity and chlorophyll-a levels in the Mar Menor water body were studied here through the joint use of remote sensing techniques and in situ data. The research was undertaken using Operational Land Imager (OLI) images on Landsat 8 and two SPOT images, because cloudy weather prevented the use of OLI images alone. This provided the information needed to perform a time series analysis of the lagoon. We also analyzed the processes that occur in the salt lagoon, characterizing the different spatio-temporal patterns of biophysical parameters. Special attention was given to the role of turbidity and chlorophyll-a levels in the Mar Menor ecosystem with regard to the programs of integral management of this natural space that receives maximum environmental protection. The objective of the work has been fulfilled by answering the questions of the managers: when did the water quality in the Mar Menor begin to change? What is happening in the lagoon? Is remote sensing useful for monitoring the water quality in the Mar Menor? The answers to these questions have allowed the generation of a methodology and monitoring system to track the water quality in the Mar Menor in real-time and space. The tracking system using satellite images is open to the incorporation of images provided by new multispectral sensors.

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Section: Methodology (A) Image Processingmentioning

confidence: 99%

Monitoring Coastal Lagoon Water Quality through Remote Sensing: The Mar Menor as a Case Study

Erena¹,

Domínguez

Aguado‐Giménez³

et al. 2019

Water

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“…29 The methods for laboratory measurements of a p ðλÞ, a ph ðλÞ, a NAP ðλÞ, and a CDOM ðλÞ are described in detail by Babin et al 30 and in our previous study. 22 For this study, water samples were processed onboard the ship immediately after collection. CDOM samples were first filtered through a 47-mm diameter Whatman GF/F filter with a pore size of 0.7 μm, and then refiltered through 47-mm diameter millipore polycarbonate filters with pore sizes of 0.22 μm, before being stored in the darkness in a refrigerator.…”

Section: Absorption Measurementsmentioning

confidence: 99%

“…22 The lake's water quality is maintained at a high level, with a mean Secchi disk depth of ∼4.5 m, and its dissolved oxygen concentration never falls below 2 mg∕L. 23 These characteristics differ significantly from those of Taihu Lake, the water quality of which suffers dramatic change in both IOPs and trophic levels.…”

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confidence: 99%

Retrieval of absorption coefficients for a drinking water source using a green–red band quasianalytical algorithm

Shi

Tao

Mao

et al. 2018

J. Appl. Rem. Sens.

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"Retrieval of absorption coefficients for a drinking water source using a green-red band quasianalytical algorithm," J. Appl. Remote Sens. 12(4), 042802 (2018), doi: 10.1117/1.JRS.12.042802. Abstract. This study proposed a green-red band quasianalytical algorithm, QAA-GRI, and evaluates its performance using an in situ dataset from Lake Qiandaohu, a drinking water source, in China. First, by shifting the reference wavelength from 555 to 510 nm, a green-red index (GRI) can be calculated from remote sensing reflectance at 510, 560, and 620 nm, and the index was then used to retrieve the total absorption coefficients at the reference band, að510Þ. Second, a semianalytical model based on að510Þ and the GRI was deduced to establish the QAA-GRI, replacing the empirical model in quasianalytical algorithm version 5 (QAA-v5). The QAA-GRI was applied to retrieve absorption coefficients from an in situ dataset of Lake Qiandaohu, and the QAA-GRI's performance was compared with that of QAA-v5 and another red-green QAAbased approach (QAA-RGR). The results demonstrate that, for this dataset, the QAA-GRI exhibited better performance (R 2 ¼ 0.81, mean absolute percentage error, MAPE ¼ 15.7%), which indicated a clear improvement in the accuracy of absorption coefficient retrieval, compared with QAA-v5 (R 2 ¼ 0.56, MAPE ¼ 21.2%) and QAA-RGR (R 2 ¼ 0.67, MAPE ¼ 22.6%). In addition, to illustrate the QAA-GRI's assumptions and its applicability, the QAA-GRI was also applied to an in situ dataset from Taihu Lake, a highly turbid and eutrophic water source. As predicted, when applied to Taihu Lake, the QAA-GRI did not perform as well as it did when applied to Lake Qiandaohu because of the former's extremely high turbidity, which can cause greater uncertainty with regard to backscattering coefficients. This study suggests that the QAA-GRI is better suited to the retrieval of absorption coefficients from drinking water resources. Our algorithm will also have potential applications to satellite data from the Medium Resolution Imaging Spectrometer or Ocean and Land Color Instrument. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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“…Water suspension is one of the most important optically active components of any natural or manmade water body. Along with yellow substance (YS), chlorophyll a and pure water, suspension has a significant effect on total light attenuation (Kopelevich, 1983;Reinart et al, 2004;Mankovsky and Sherstyankin, 2007;Mankovsky, 2011;Onderka et al, 2011;Shuchman et al, 2013;Levin, 2014;Korosov et al, 2017;Shi et al, 2017;Churilova et al, 2018). Therefore, its optical characteristics dependent on particles' size, quantity, material, shape and orientation require a thorough study.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of water suspension effect on spectral light attenuation in Novosibirsk reservoir

Akulova¹,

Ras²,

Bukaty³

2019

LFWB

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The paper presents the measurement data (August 20-22, 2019) on spectral light attenuation in the Novosibirsk Reservoir waters in the range from 400 to 800 nm. In different sampling stations, attenuation (calculated on the natural logarithmic base) varied within 4.6-25.9 m-1. Relative transparency (42-140 cm) was measured using a Secchi disk. To assess the effect of water suspension on total attenuation, we calculated its relative spectral contribution and other main optically active components of water, i.e. yellow substance, chlorophyll a and pure water. Yellow substance and suspension showed the maximum contribution to light attenuation in the water from all 10 sampling stations of the reservoir. The spectral contribution of suspension was 30-60% in the range of 430 nm, 39-71% at 550 nm and 33-64% at 670 nm, respectively. The suspension was the second optically active component affecting spectral light attenuation.

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Variations in Spectral Absorption Properties of Phytoplankton, Non-algal Particles and Chromophoric Dissolved Organic Matter in Lake Qiandaohu

Cited by 18 publications

References 49 publications

Monitoring Coastal Lagoon Water Quality through Remote Sensing: The Mar Menor as a Case Study

Monitoring Coastal Lagoon Water Quality through Remote Sensing: The Mar Menor as a Case Study

Retrieval of absorption coefficients for a drinking water source using a green–red band quasianalytical algorithm

Evaluation of water suspension effect on spectral light attenuation in Novosibirsk reservoir

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