Satellite multi-sensor mapping of suspended particulate matter in turbid estuarine and coastal ocean, China

Shen, Fang; Zhou, Yunxuan; Peng, Xiangyi; Chen, Yuli

doi:10.1080/01431161.2014.916053

Cited by 41 publications

(46 citation statements)

References 28 publications

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“…where Considering the sensitivity of [SPM] to R rs at different wavelengths, Shen et al [36,39,44] proposed an inversion scheme based on band shifting for SPM retrieval from satellite imagery in the Yangtze estuary. In this study, we used the three-band shifting scheme for SPM retrieval from GOCI and L8/OLI data.…”

Section: Spm Retrieval Of Goci and L8/olimentioning

confidence: 99%

“…Radiometric measurements were recorded by the Hyperspectral Surface Acquisition System (HyperSAS, Satlantic Inc., Halifax, Nova Scotia, Canada) and consist of the sea-surface radiance (L t ), sky radiance (L i ) and solar irradiance (E s ) from 350 to 900 nm in 136 spectral channels. Details about the sensors' mounting and observation geometries can be found in Shen et al [36,39]. R rs was calculated by [40,41]:…”

Section: Spm Retrieval Of Goci and L8/olimentioning

confidence: 99%

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Fusion of Landsat-8/OLI and GOCI Data for Hourly Mapping of Suspended Particulate Matter at High Spatial Resolution: A Case Study in the Yangtze (Changjiang) Estuary

2018

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Suspended particulate matter (SPM) concentrations ([SPM]) in the Yangtze estuary, which has third-order bifurcations and four outlets, exhibit large spatial and temporal variations. Studying the characteristics of these variations in [SPM] is important for understanding sediment transport and pollutant diffusion in the estuary as well as for the construction of port and estuarine engineering structures. The 1-h revisit frequency of the Geostationary Ocean Color Imager (GOCI) sensor and the 30-m spatial resolution of the Landsat 8 Operational Land Imager (L8/OLI) provide a new opportunity to study the large spatial and temporal variations in the [SPM] in the Yangtze estuary. In this study, [SPM] images with a temporal resolution of 1 h and a spatial resolution of 30 m are generated through the product-level fusion of [SPM] data derived from L8/OLI and GOCI images using the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM). The results show that the details and accuracy of the spatial and temporal variations are maintained well in the [SPM] images that are predicted based on the fused images. Compared to the [SPM] observations at fixed field stations, the mean relative error (MRE) of the predicted SPM is 17.7%, which is lower than that of the GOCI-derived [SPM] (27.5%). In addition, thanks to the derived high-resolution [SPM] with high spatiotemporal dynamic changes, both natural phenomena (dynamic variation of the maximum turbid zone) and human engineering changes leading to the dynamic variability of SPM in the channel are observed.

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Section: Spm Retrieval Of Goci and L8/olimentioning

confidence: 99%

Section: Spm Retrieval Of Goci and L8/olimentioning

confidence: 99%

Fusion of Landsat-8/OLI and GOCI Data for Hourly Mapping of Suspended Particulate Matter at High Spatial Resolution: A Case Study in the Yangtze (Changjiang) Estuary

2018

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“…Most models are developed to estimate TSS concentration by directly relating the remotely sensed reflectance with in situ measurements of the TSS concentration using statistical analysis, linear and non-linear regression. These models may use a single spectral band [16,[33][34][35][36][37][38] or combinations of different spectral bands [15,21,28,[39][40][41][42] with regression analysis to predict the TSS concentration. Linear approximations from regression analysis are valid for relatively low TSS concentrations but as the TSS concentration increases the linearity weakens and the reflectance saturates at high TSS concentration [13,43].…”

Section: Introductionmentioning

confidence: 99%

A Semi-Analytic Model for Estimating Total Suspended Sediment Concentration in Turbid Coastal Waters of Northern Western Australia Using MODIS-Aqua 250 m Data

2016

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Abstract:Knowledge of the concentration of total suspended sediment (TSS) in coastal waters is of significance to marine environmental monitoring agencies to determine the turbidity of water that serve as a proxy to estimate the availability of light at depth for benthic habitats. TSS models applicable to data collected by satellite sensors can be used to determine TSS with reasonable accuracy and of adequate spatial and temporal resolution to be of use for coastal water quality monitoring. Thus, a study is presented here where we develop a semi-analytic sediment model (SASM) applicable to any sensor with red and near infrared (NIR) bands. The calibration and validation of the SASM using bootstrap and cross-validation methods showed that the SASM applied to Moderate Resolution Imaging Spectroradiometer (MODIS)-Aqua band 1 data retrieved TSS with a root mean square error (RMSE) and mean averaged relative error (MARE) of 5.75 mg/L and 33.33% respectively. The application of the SASM over our study region using MODIS-Aqua band 1 data showed that the SASM can be used to monitor the on-going, post and pre-dredging activities and identify daily TSS anomalies that are caused by natural and anthropogenic processes in coastal waters of northern Western Australia.

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“…Sediment deposited at the western end of the bay is transported to the east by tidal waves. Comparing with the Yangtze River estuary and Yellow River estuary [26,53], the study area has in general low SSC, with an average level of 30 mg·L …”

Section: Study Areamentioning

confidence: 99%

“…The relative error in SPM estimation was less than 30% in the spectral range of 670-750 nm. A semi-analytical algorithm was proposed by Shen et al [30] for SPM retrieval using five ocean-color sensors, which allowed for temporal gaps between sequential pairs of satellite images to be filled in. SPM products derived from three sensors with nearly synchronous transit (e.g., Envisat MERIS, Terra MODIS, and FY-3 MERSI) exhibited excellent accordance with mean differences of 0.056, 0.057 and 0.013 g·L −1 for three fixed field stations, respectively, in the Yangtze estuary.…”

Section: Introductionmentioning

confidence: 99%

A Semi-Analytical Model for Remote Sensing Retrieval of Suspended Sediment Concentration in the Gulf of Bohai, China

et al. 2015

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Suspended sediment concentration (SSC) is one of the most critical parameters in ocean ecological environment evaluation and it can be determined using ocean color remote sensing (RS). The purpose of this study is to develop a model that provides a reliable and sensitive evaluation of SSC retrieval using RS data. Data were acquired for and gathered from the Gulf of Bohai where SSC levels are relatively low with an average value below 30 mg·L −1. The study indicates that the most sensitive band to SSC levels in the study area is the NIR band of Landsat5 TM images. A quadratic polynomial semi-analytical model appears to be the best retrieval model based on the relationship between the inherent optical properties (IOPs) and apparent optical properties (AOPs) of water as described by the quasi-analytical algorithm (QAA). The model has a higher precision and effectiveness for SSC retrieval than data-driven statistical models, especially when SSC level is relatively high. The average relative error and the root mean square error (RMSE) are 12.32% and , respectively, while the correlation coefficient between observed and estimated SSC by the model is 0.95. Using the proposed retrieval model and TM data, SSC levels of the entire study region in the Gulf of Bohai were estimated. These estimates can serve as the baseline for efficient monitoring of the ocean environment in the future.

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Satellite multi-sensor mapping of suspended particulate matter in turbid estuarine and coastal ocean, China

Cited by 41 publications

References 28 publications

Fusion of Landsat-8/OLI and GOCI Data for Hourly Mapping of Suspended Particulate Matter at High Spatial Resolution: A Case Study in the Yangtze (Changjiang) Estuary

Fusion of Landsat-8/OLI and GOCI Data for Hourly Mapping of Suspended Particulate Matter at High Spatial Resolution: A Case Study in the Yangtze (Changjiang) Estuary

A Semi-Analytic Model for Estimating Total Suspended Sediment Concentration in Turbid Coastal Waters of Northern Western Australia Using MODIS-Aqua 250 m Data

A Semi-Analytical Model for Remote Sensing Retrieval of Suspended Sediment Concentration in the Gulf of Bohai, China

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