Bio‐optical model with optimal parameter suitable for Taihu Lake in water colour remote sensing

Ma, Ronghua; Tang, Junwu; Dai, Jianli

doi:10.1080/01431160600857428

Cited by 98 publications

(73 citation statements)

References 26 publications

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“…These calibration results were similar to the models develop for Dongting Lake [3], which is also a large sediment-laden floodpath lake along the middle section of the Yangtze River. According to the bio-optical model [39,48], R rs can be expressed as a function of absorption and backscattering coefficients. The reflectance of short wavelength bands, like Sentinel 2 MSI B1-B3, are affected by the absorption and backscattering characteristics of the water optically active matters (including SPM, chlorophyll, and CDOM) and pure water together, therefore the correlations between C SPM and these three bands are weak (Figure 2).…”

Section: Discussionmentioning

confidence: 99%

“…The C SPM value of each water sample was measured gravimetrically with steps: (1) the water sample was filtered using a pre-dried and weighted Whatman GF/F glass fiber filter with a 0.45 µm pore size; (2) the filter was dried for 2 h at 110 • C and reweighted after cooling to room temperature; and (3) the C SPM was obtained by dividing the difference in weight before and after filtering by the water sample volume [39].…”

Section: In-situ Datamentioning

confidence: 99%

“…The abnormal radiance measurements from grey diffuse reflectance standard, water, and sky were first removed considering their spectral characteristics, and the remote sensing reflectance for each sampling site was then calculated using the remaining measurements with the following equation [39]:…”

Section: In-situ Water-leaving Reflectance Calculationmentioning

confidence: 99%

“…Water spectra were measured using a portable ASD Fieldspec Pro Dual VNIR spectrometer (ASD Inc., Longmont, CO, USA). The ASD Fieldspec Pro Dual VNIR spectrometer has a spectral range of 350-1050 nm with a spectral sampling interval of 1.4 nm, and it was used to measure the water spectra following the Ocean Optics Protocols For Satellite Ocean Color Sensor Validation [38] and steps described by Ma et al [39].…”

Section: In-situ Datamentioning

confidence: 99%

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Application of Sentinel 2 MSI Images to Retrieve Suspended Particulate Matter Concentrations in Poyang Lake

et al. 2017

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Suspended particulate matter (SPM) is one of the dominant water constituents in inland and coastal waters, and SPM concnetration (C SPM ) is a key parameter describing water quality. This study, using in-situ spectral and C SPM measurements as well as Sentinel 2 Multispectral Imager (MSI) images, aimed to develop C SPM retrieval models and further to estimate the C SPM values of Poyang Lake, China. Sixty-eight in-situ hyperspectral measurements and relative spectral response function were applied to simulate Sentinel 2 MIS spectra. Thirty-four samples were used to calibrate and the left samples were used to validate C SPM retrieval models, respectively. The developed models were then applied to two Sentinel 2 MSI images captured in wet and dry seasons, and the derived C SPM values were compared with those derived from MODIS B1 (λ = 645 nm). Results showed that the Sentinel 2 MSI B4-B8b models achieved acceptable to high fitting accuracies, which explained 81-93% of the variation of C SPM . The validation results also showed the reliability of these six models, and the estimated C SPM explained 77-93% of the variation of measured C SPM with the mean absolute percentage error (MAPE) ranging from 36.87% to 21.54%. Among those, a model based on B7 (λ = 783 nm) appeared to be the most accurate one. The Sentinel 2 MSI-derived C SPM values were generally consistent in spatial distribution and magnitude with those derived from MODIS. The C SPM derived from Sentinel 2 MSI B7 showed the highest consistency with MODIS on 15 August 2016, while the Sentinel 2 MSI B4 (λ = 665 nm) produced the highest consistency with MODIS on 2 April 2017. Overall, this study demonstrated the applicability of Sentinel 2 MSI for C SPM retrieval in Poyang Lake, and the Sentinel 2 MSI B4 and B7 are recommended for low and high loadings of SPM, respectively.

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Section: Discussionmentioning

confidence: 99%

Section: In-situ Datamentioning

confidence: 99%

Section: In-situ Water-leaving Reflectance Calculationmentioning

confidence: 99%

Section: In-situ Datamentioning

confidence: 99%

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Application of Sentinel 2 MSI Images to Retrieve Suspended Particulate Matter Concentrations in Poyang Lake

et al. 2017

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“…Chla was then determined spectrophotometrically following community-accepted protocols [54,55]. Specifically, a 47-mm Whatman GF/F glass fiber filter was used to filter the water and was subsequently soaked in 90% ethanol for 4-6 h in the dark.…”

Section: Field Datamentioning

confidence: 99%

An EOF-Based Algorithm to Estimate Chlorophyll a Concentrations in Taihu Lake from MODIS Land-Band Measurements: Implications for Near Real-Time Applications and Forecasting Models

Duan

et al. 2014

Remote Sensing

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For near real-time water applications, the Moderate Resolution Imaging Spectroradiometers (MODIS) on Terra and Aqua are currently the only satellite instruments that can provide well-calibrated top-of-atmosphere (TOA) radiance data over the global aquatic environments. However, TOA radiance data in the MODIS ocean bands over turbid atmosphere in east China often saturate, leaving only four land bands to use. In this study, an approach based on Empirical Orthogonal Function (EOF) analysis has been developed and validated to estimate chlorophyll a concentrations (Chla, μg/L) in surface waters of Taihu Lake, the third largest freshwater lake in China. The EOF approach analyzed the spectral variance of normalized Rayleigh-corrected reflectance (Rrc) data at 469, 555, 645, and 859 nm, and subsequently related that variance to Chla using 28 concurrent MODIS and field measurements. This empirical algorithm was then validated using another 30 independent concurrent MODIS and field measurements. Image analysis and radiative transfer simulations indicated that the algorithm appeared to be tolerant to aerosol perturbations, with unbiased RMS uncertainties of <80% for Chla ranging between 3 and 100 μg/L. Application OPEN ACCESSRemote Sens. 2014, 6 10695 of the algorithm to a total of 853 MODIS images between 2000 and 2013 under cloud-free conditions revealed spatial distribution patterns and seasonal changes that are consistent to previous findings based on floating algae mats. The current study can provide additional quantitative estimates of Chla that can be assimilated in an existing forecast model, which showed improved performance over the use of a previous Chla algorithm. However, the empirical nature, relatively large uncertainties, and limited number of spectral bands all point to the need of further improvement in data availability and accuracy with future satellite sensors.

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The optical properties of river and floodplain waters in the Amazon River Basin: Implications for satellite‐based measurements of suspended particulate matter

et al. 2015

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Satellite images can now be used to assess river sediment discharge, and systematic studies over rivers and lakes are required to support such applications and document the variability of inland water optical properties at the watershed scale. The optical properties of the Amazon Basin waters were analyzed from in situ measurements of the remote sensing reflectance (R rs ) at 279 stations and downwelling diffuse attenuation coefficients (K d ) at 133 stations. Measurements of the apparent optical properties, suspended particulate matter (SPM) contents, and characteristics and colored dissolved organic matter (CDOM) absorption spectra were performed during 16 cruises along the main Amazonian Rivers draining the Andes and for some tributaries. Surface-suspended sediment granulometry and mineralogy showed a stable distribution at the catchment scale, even over large distances and between tributaries. The particle number-size distribution was best described using a segmented distribution with a slope of 2.2 for the fine range (1-15 μm), and the CDOM absorption coefficient at 440 nm varied from 1.8 to 7.9 m À1 . Overall, both R rs and K d were strongly correlated with SPM, although strong CDOM absorption limited the use of the blue spectrum. Reflectance saturation from blue to red was observed at approximately 100 g m À3 , whereas the near-infrared (NIR) wavelength enabled the monitoring of the full SPM range (5-620 g m À3 ). In contrast, K d showed no saturation for SPM from green to NIR, and a linear model was calculated. The use of the reflectance ratio was investigated and shown to improve the suspended sediment concentration retrieval performance.

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Bio‐optical model with optimal parameter suitable for Taihu Lake in water colour remote sensing

Cited by 98 publications

References 26 publications

Application of Sentinel 2 MSI Images to Retrieve Suspended Particulate Matter Concentrations in Poyang Lake

Application of Sentinel 2 MSI Images to Retrieve Suspended Particulate Matter Concentrations in Poyang Lake

An EOF-Based Algorithm to Estimate Chlorophyll a Concentrations in Taihu Lake from MODIS Land-Band Measurements: Implications for Near Real-Time Applications and Forecasting Models

The optical properties of river and floodplain waters in the Amazon River Basin: Implications for satellite‐based measurements of suspended particulate matter

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