Retrieval of total suspended matter concentration in the Yellow and East China Seas from MODIS imagery

Zhang, Minwei; Tang, Junwu; Qian, Dong; Song, Qingtao; Ding, Jun

doi:10.1016/j.rse.2009.09.016

Cited by 219 publications

(109 citation statements)

References 45 publications

(49 reference statements)

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“…This saturation first occurs at short (blue, green) visible wavelengths then in the red spectral region (at about 10 and 50 g¨m´3 at 555 and 645 nm, respectively) [15,16,47] and even in the NIR for extremely high SPM concentrations [48]. Depending on the SPM concentration range, Rrs variations within green, red or NIR spectral bands may be more sensitive, hence appropriate for the retrieval of SPM concentration [14,15,49]. The Rhône River plume is typical of moderately turbid waters with SPM concentrations ranging from 1 to more than 50 g¨m´3 ([8], this study).…”

Section: Best In Situ Based Rrs Vs Spm Regional Relationships For Olmentioning

confidence: 99%

Potential of High Spatial and Temporal Ocean Color Satellite Data to Study the Dynamics of Suspended Particles in a Micro-Tidal River Plume

et al. 2016

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Ocean color satellite sensors are powerful tools to study and monitor the dynamics of suspended particulate matter (SPM) discharged by rivers in coastal waters. In this study, we test the capabilities of Landsat-8/Operational Land Imager (OLI), AQUA&TERRA/Moderate Resolution Imaging Spectroradiometer (MODIS) and MSG-3/Spinning Enhanced Visible and Infrared Imager (SEVIRI) sensors in terms of spectral, spatial and temporal resolutions to (i) estimate the seawater reflectance signal and then SPM concentrations and (ii) monitor the dynamics of SPM in the Rhône River plume characterized by moderately turbid surface waters in a micro-tidal sea. Consistent remote-sensing reflectance (Rrs) values are retrieved in the red spectral bands of these four satellite sensors (median relative difference less than~16% in turbid waters). By applying a regional algorithm developed from in situ data, these Rrs are used to estimate SPM concentrations in the Rhône river plume. The spatial resolution of OLI provides a detailed mapping of the SPM concentration from the downstream part of the river itself to the plume offshore limits with well defined small-scale turbidity features. Despite the low temporal resolution of OLI, this should allow to better understand the transport of terrestrial particles from rivers to the coastal ocean. These details are partly lost using MODIS coarser resolutions data but SPM concentration estimations are consistent, with an accuracy of about 1 to 3 g¨m´3 in the river mouth and plume for spatial resolutions from 250 m to 1 km. The MODIS temporal resolution (2 images per day) allows to capture the daily to monthly dynamics of the river plume. However, despite its micro-tidal environment, the Rhône River plume shows significant short-term (hourly) variations, mainly controlled by wind and regional circulation, that MODIS temporal resolution failed to capture. On the contrary, the high temporal resolution of SEVIRI makes it a powerful tool to study this hourly river plume dynamics. However, its coarse resolution prevents the monitoring of SPM concentration variations in the river mouth where SPM concentration variability can reach 20 g¨m´3 inside the SEVIRI pixel. Its spatial resolution is nevertheless sufficient to reproduce the plume shape and retrieve SPM concentrations in a valid range, taking into account an underestimation of about 15%-20% based on comparisons with other sensors and in situ data. Finally, the capabilities, advantages and limits of these satellite sensors are discussed in the light of the spatial and temporal resolution improvements provided by the new and future generation

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Section: Best In Situ Based Rrs Vs Spm Regional Relationships For Olmentioning

confidence: 99%

Potential of High Spatial and Temporal Ocean Color Satellite Data to Study the Dynamics of Suspended Particles in a Micro-Tidal River Plume

et al. 2016

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“…Consequently, regional algorithms using nL w (l) in the red band are proposed for estimating Chl a (Dall'olmo et al 2005), TSM concentration (Zhang et al 2010;Son and Wang 2012), and K d (490 [Lee et al 2005;Doron et al 2007;Wang et al 2009a]). As suggested in Eq.…”

Section: Some Satellite Ocean-color Remote-sensing Implicationsmentioning

confidence: 99%

“…Recently, the corresponding ocean-color retrieval algorithms focusing on the red and NIR wavelengths in the coastal regions are getting much more attention. Indeed, satellite and in situ nL w (l) data in the red and NIR wavelengths have been used to characterize and quantify water properties in coastal and inland waters such as Chl a concentration (Gitelson et al 2007), floating green algae blooms (Shi and Wang 2009b), river plumes (Shi and Wang 2009c), total suspended matter (TSM [Shen et al 2010;Zhang et al 2010;Son and Wang 2012]), the light diffuse attenuation coefficient (Wang et al 2009a;Zhang et al 2012), ocean optical and biological property variations in the Korean dump site of the Yellow Sea (Son et al 2011), and other changes of coastal environments as well as the inland freshwater environment (Wang et al 2011(Wang et al , 2012a(Wang et al , 2013b.…”

mentioning

confidence: 99%

Ocean reflectance spectra at the red, near‐infrared, and shortwave infrared from highly turbid waters: A study in the Bohai Sea, Yellow Sea, and East China Sea

Shi

Wang

2014

Limnology & Oceanography

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Normalized water-leaving radiance spectra nL w (l) at the red, near-infrared (NIR), and shortwave infrared (SWIR) are quantified and characterized in highly turbid waters of the western Pacific using 3 yr (2009)(2010)(2011) observations from the Moderate Resolution Imaging Spectroradiometer on the satellite Aqua. nL w (645; red), nL w (859; NIR), and nL w (1240; SWIR) were higher in the coastal region and river estuaries, with SWIR nL w (1240) reaching up to , 0.2 mW cm 22 mm 21 sr 21 in Hangzhou Bay during winter. The NIR ocean-reflectance spectral shape represented by the ratio of the normalized water-leaving reflectance r wN (l) at the two NIR bands r wN (748) : r wN (869) is highly dynamic and region-dependent. The NIR spectral feature associated with the sediment source from the Yellow River and Ancient Yellow River is noticeably different from that of the Yangtze River. There are non-negligible SWIR nL w (1240) contributions for waters with the NIR nL w (859) . , 2.5 mW cm 22 mm 21 sr 21 . Estimation of the NIR ocean reflectance with iterative approaches might only be accurate for turbid waters with nL w (859) , , 1.5 mW cm 22 mm 21 sr 21 . Thus, the SWIR atmospherics correction algorithm for satellite ocean-color data processing is indispensable to derive accurate nL w (l) for highly turbid waters. Current existing satellite algorithms for chlorophyll a, diffuse attenuation coefficient at the wavelength of 490 nm (K d (490)), total suspended matter, and inherent optical properties (IOPs) using nL w (l) at the red band for coastal waters are limited and can only be applied to turbid waters with nL w (859) , , 1.5 mW cm 22 mm 21 sr 21 . Thus, the NIR nL w (l) measurements are required to characterize water properties for highly turbid waters. Based on the fact that pure water absorption is significantly larger than other absorption components in the NIR wavelengths, we show that it is feasible to analytically derive accurate IOP data for turbid waters with combined satellite-measured visible-NIR nL w (l) spectra data.

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“…하지만 기존의 대양에 맞도록 개발된 해수 환경 분석 알고리즘들(bio-optical algorithm)은 연안 해역에서 는 낮은 정확도를 보였기 때문에 각 지역 특성에 맞추 어 새롭게 알고리즘을 개발하여 활용해왔다 (Topliss, 1986;Tassan, 1994 and1997;Froidefond et al, 1999;Doxaran et al, 2002;Binding et al, 2003;Miller and McKee, 2004;D'Sa et al, 2007;Shen et al, 2010a and2010b;Gitelson et al, 2007Gitelson et al, , 2008Gitelson et al, and 2009Ruddick et al, 2001;Dall'Olmo et al, 2005). 우리나라 주변 해역에 대하여 지금까지 개 발된 해수 환경분석 알고리즘들 역시 전지구 규모의 대 양 (O'Reilly et al, 1998) 또는 연안이나 하구역과 같은 지 역해 한 곳에 집중되어 개발되었으며 (Jeong and Yoo, 2000;Moon et al, 2010;Zhang et al, 2010;Siswanto et al, 2011;2012Mao et al, 2012Min et al, 2013), 전 지구와 지역해에서 범용적으로 사용 가능한 알고리즘 은 찾기 힘들다. 즉, 대양에 맞추어 개발된 알고리즘의 경우 연안에 맞지 않았고 연안에 맞추어 개발된 알고리 즘들은 해당 해역에만 잘 맞는 한계가 있다 (Ryu et al, 2015).…”

Section: 서 론unclassified

An Analysis of the Relationship between Inherent Optical Properties and Ocean Color Algorithms Around the Korean Waters

Min¹,

Ryu²,

Park³

2015

Korean Journal of Remote Sensing

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: There are diverse sea areas within the coverage of GOCI which is observed around the Korea at one-hour intervals. It includes not only very clear ocean of East Sea, but also extremely turbid waters of the Yangtze River estuary. In this study, we analyzed the different optical characteristics of various sea areas using absorption coefficients of phytoplankton, Suspended Particulate Matter(SPM), Dissolved Organic Matter(DOM). Totally 959 sets of bio-optical and marine environmental data were obtained from 2009 to 2014 around the sea area of Korea. The East Sea, South Sea, East China Sea and offshore part of Yellow Sea showed similar pattern having high levels of contribution of phytoplankton and DOM. On the other hands, the coastal part of Mokpo and Gyeonggi Bay showed opposite pattern having high levels of contribution of SPM and DOM. As a result of the algorithm performance for chlorophyll-a(Chl-a) and SPM, Chl-a is mostly overestimated and SPM is mainly tended to be underestimated. Large amount of errors are induced by the SPM rather than the chl-a and DOM. These errors are primarily founded in the coastal waters having relatively high levels of a SPM contribution of more than 60%.

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Retrieval of total suspended matter concentration in the Yellow and East China Seas from MODIS imagery

Cited by 219 publications

References 45 publications

Potential of High Spatial and Temporal Ocean Color Satellite Data to Study the Dynamics of Suspended Particles in a Micro-Tidal River Plume

Potential of High Spatial and Temporal Ocean Color Satellite Data to Study the Dynamics of Suspended Particles in a Micro-Tidal River Plume

Ocean reflectance spectra at the red, near‐infrared, and shortwave infrared from highly turbid waters: A study in the Bohai Sea, Yellow Sea, and East China Sea

An Analysis of the Relationship between Inherent Optical Properties and Ocean Color Algorithms Around the Korean Waters

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