scholarly journals Estimation of suspended particulate matter in turbid coastal waters: application to hyperspectral satellite imagery

2018 ◽  
Vol 26 (8) ◽  
pp. 10476 ◽  
Author(s):  
Jun Zhao ◽  
Wenxi Cao ◽  
Zhantang Xu ◽  
Haibin Ye ◽  
Yuezhong Yang ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Satellite Imagery ◽  
Suspended Particulate Matter ◽  
Coastal Waters ◽  
Suspended Particulate

scholarly journals Suspended Particulate Matter Concentrations Retrieved from Self-Calibrated Multispectral Satellite Imagery

2011 ◽  
Vol 59 (4) ◽  
pp. 251-261 ◽  
Author(s):  
Milan Onderka ◽  
Marek Rodný ◽  
Yvetta Velísková
Keyword(s):  
Remote Sensing ◽  
Particulate Matter ◽  
Satellite Imagery ◽  
Suspended Particulate Matter ◽  
Optical Model ◽  
Near Infrared ◽  
Remotely Sensed Data ◽  
Suspended Particulate ◽  
Multispectral Satellite Imagery ◽  
Visual Domain

Suspended Particulate Matter Concentrations Retrieved from Self-Calibrated Multispectral Satellite ImageryInland waters are known to be laden with high levels of suspended particulate matter (SPM). Remotely sensed data have been shown to provide a true synoptic view of SPM over vast areas. However, as to date, there is no universal technique that would be capable of retrieving SPM concentrations without a complete reliance on time-consuming and costly ground measurements ora prioriknowledge of inherent optical properties of water-borne constituents. The goal of this paper is to present a novel approach making use of the synergy found between the reflectance in the visual domain (~ 400-700 nm) with the near-infrared portion of the spectrum (~ 700-900 nm). The paper begins with a brief discourse of how the shape and spectral dependence of reflectance is determined by high concentrations of SPM. A modeled example is presented to mimic real-world conditions in fluvial systems, with specific absorption and scattering coefficients of the virtual optically active constituents taken from the literature. Using an optical model, we show that in the visual spectral domain (~ 400-700 nm) the water-leaving radiance responds to increasing SPM (0-100 g m-3) in a non-linear manner. Contrarily to the visual spectra, reflectance in the near infrared domain (~ 700-900 nm) appears to be almost linearly related to a broad range of SPM concentrations. To reduce the number of parameters, the reflectance function (optical model) was approximated with a previously experimentally verified exponential equation (Schiebeet al., 1992: Remote sensing of suspended sediments: the Lake Chicot, Arkansas project, Int. J. Remote Sensing,13, 8, 1487-1509). The SPM term in Schiebe's equation was expressed as a linear function of top-of-atmosphere reflectance. This made it possible to calibrate the reflectance in the visual domain by reflectance values from the near-IR portion of the spectrum. The possibility to retrieve SPM concentrations from only remote sensing data without any auxiliary ground mea-surements is tested on a Landsat ETM + scene acquired over a reservoir with moderately turbid water with SPM concentrations between 15-70 g m-3. The retrieved concentrations (on average) differ from in-situ measurement by ~ 10.5 g m-3.

scholarly journals Influence of the Suspended Particulate Matter on the Satellite Radiance in the Sunglint Observation Geometry in Coastal Waters

2020 ◽  
Vol 12 (9) ◽  
pp. 1445
Author(s):  
Malik Chami ◽  
Morgane Larnicol ◽  
Audrey Minghelli ◽  
Sebastien Migeon
Keyword(s):  
Particulate Matter ◽  
Suspended Particulate Matter ◽  
Coastal Waters ◽  
Satellite Image ◽  
Ocean Color ◽  
Optical Measurements ◽  
Strong Wind ◽  
Turbid Waters ◽  
Suspended Particulate ◽  
Observation Geometry

The analysis of satellite ocean color data that are acquired over coastal waters is highly relevant to gain understanding of the functioning of these complex ecosystems. In particular, the estimation of the suspended particulate matter (SPM) concentrations is of great interest for monitoring the coastal dynamics. However, a high number of pixels of satellite images could be affected by the surface-reflected solar radiation, so-called the sunglint. These pixels are either removed from the data processing, which results in a loss of information about the ocean optical properties, or they are subject to the application of glint correction techniques that may contribute to increase the uncertainties in the SPM retrieval. The objective of this study is to demonstrate the high potential of exploiting satellite observations acquired in the sunglint viewing geometry for determining the water leaving radiance for SPM dominated coastal waters. For that purpose, the contribution of the water leaving radiance Lw to the satellite signal LTOA is quantified for the sunglint observation geometry using forward radiative transfer modelling. Some input parameters of the model were defined using in-situ bio-optical measurements performed in various coastal waters to make the simulations consistent with real-world observations. The results showed that the sunglint radiance is not sufficiently strong to mask the influence of the oceanic radiance at the satellite level, which oceanic radiance remains significant (e.g., 40% at 560 nm for a SPM concentration value of 9 g m−3). The influence of the sunglint radiance is even weaker for highly turbid waters and/or for strong wind conditions. In addition, the maximum radiance simulated in the sunglint region for highly turbid waters remains lower than the saturation radiances specified for the current ocean color sensors. The retrieval of Lw and SPM should thus be feasible from radiances measured in the sunglint pattern by satellite sensors, thus increasing the number of exploitable pixels within a satellite image. The results obtained here could be used as a basis for the development of inverse ocean color algorithms that would interestingly use the radiance measured in sunglint observation geometry as it has been done for other topics than the field of ocean color research.

scholarly journals High-frequency and tidal period observations of suspended particulate matter in coastal waters by AHI/Himawari-8

2020 ◽  
Vol 28 (19) ◽  
pp. 27387
Author(s):  
Xiaosong Ding ◽  
Xianqiang He ◽  
Yan Bai ◽  
Qiankun Zhu ◽  
Fang Gong ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Suspended Particulate Matter ◽  
Coastal Waters ◽  
High Frequency ◽  
Tidal Period ◽  
Suspended Particulate
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