Validation of the Remote Sensing Products Retrieved by Geostationary Ocean Color Imager in Liaodong Bay in Spring

Hao, 李豪 Li; Xianqiang, 何贤强 He; Jing, 丁静 Ding; Zifeng, 胡子峰 Hu; Wansong, 崔万松 Cui; Shunda, 李顺达 Li; Lin, 张琳 Zhang

doi:10.3788/aos201636.0401002

Cited by 5 publications

(1 citation statement)

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“…), GOCI has been widely used to estimating the concentration of surface suspended matter in seawater in recent years (Choi et al, 2014;He et al, 2013). Li et al (2016) evaluated the stability of the GOCI-derived ocean color remote sensing products under different observing time, and the result showed that the Rrs retrieved by KOSC algorithm has the best agreement with the values of in-situ observations in Liaodong Bay. Sun et al (2020) confirmed the accuracy of GOCI Rrs by analyzing the change of the surface suspension concentration in the Bohai Bay in winter.…”

Section: Landsat 8 Oli Measured Rrs Compared To Goci Measurementsmentioning

confidence: 99%

Analyzing the Distribution and Variation of Suspended Particulate Matter in the Yellow River Estuary (YRE) using Landsat 8 OLI

Hao

Zhang

et al. 2020

Preprint

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Yellow River Estuary (YRE) as well as its adjacent coastal areas are famous for its high concentration of Suspended Particulate Matter (SPM). The distribution of SPM and its variations in the estuary area promoted the carbon, oxygen and nutrient cycles in coastal areas and nearby sea areas. This study took advantage of Landsat 8 Operational Land Imager (Landsat 8 OLI) data to estimate SPM in the YRE from 2013 to 2019. Remote sensing reflectance (R rs ) measured by Landsat 8 OLI has been proved to be effective through cross-validate with Geostationary Ocean Color Imager (GOCI). A simple empirical alogrithm (NIR band ratio green band and add red band) was developed to map the SPM distribution and concentration, with the APD 33.12% and R 2 0.93 based on in-situ data. Annual average distribution of SPM shows that highy turbid areas with SPM greater than 10 3 mg/L are mostly found surrounding the estuary of Yellow River, in the northwest part of the Laizhou Bay and south part of Bohai bay. High variations of SPM distributions are consistent with high SPM, and vice versa. The influences of river runoff is mainly concentrated in the estuary area, and outside 4.5 km the variability of SPM effected by river discharge is not ovbious. Significant difference is observed in seasonal SPM distribution. Higher SPM in winter is observed both in range and intensity compared to summer. Significant seasonal variations are mainly controlled by sediment resuspension processes driven by wind-wave forces. The results of this study indicate that Landsat8 OLI is an effective mean to retrieve SPM in YRE and its adjcent areas.

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Section: Landsat 8 Oli Measured Rrs Compared To Goci Measurementsmentioning

confidence: 99%

Analyzing the Distribution and Variation of Suspended Particulate Matter in the Yellow River Estuary (YRE) using Landsat 8 OLI

Hao

Zhang

et al. 2020

Preprint

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Semi-analytical algorithms of ocean color remote sensing under high solar zenith angles

Shanmugam

et al. 2019

Opt. Express

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Automatic boat detection based on diffusion and radiation characterization of boat lights during night for VIIRS DNB imaging data

Chen

Gao

et al. 2022

Opt. Express

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Visible infrared imaging radiometer suite (VIIRS) day/night band (DNB) data has been used to detect lit boats during night as it is very sensitive to low radiances. The existing methods for boat detection from VIIRS DNB data are mainly based on thresholds that are estimated by the statistical characteristics of pixels or artificial experience. This may generate detection errors and poor adaptability due to the lack of characterization of boat lights. In this paper, a two-step threshold detection algorithm based on the point spread and the radiative characteristics of nightlight point sources is proposed, so that the interference from adjacent pixels could be reduced as much as possible and a reasonable threshold could be determined. Meanwhile, this algorithm is applied to three study areas, namely the sea area around Tianjin Port in Bohai Sea, the sea area around Shanghai Port in East China Sea, and the sea area around Port Sulphur in Gulf of Mexico. It is demonstrated that the detection precision of the proposed algorithm reaches up to 90% and the recall rate reaches up to 85% in three areas when validated by visual interpretation, and the precision is 85.71% when validated by automatic identification system (AIS) data in the study area of the sea area around Port Sulphur in Gulf of Mexico, which approximately increases by 5% compared with the previous algorithm.

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Validation of the Remote Sensing Products Retrieved by Geostationary Ocean Color Imager in Liaodong Bay in Spring

Cited by 5 publications

References 0 publications

Analyzing the Distribution and Variation of Suspended Particulate Matter in the Yellow River Estuary (YRE) using Landsat 8 OLI

Analyzing the Distribution and Variation of Suspended Particulate Matter in the Yellow River Estuary (YRE) using Landsat 8 OLI

Semi-analytical algorithms of ocean color remote sensing under high solar zenith angles

Automatic boat detection based on diffusion and radiation characterization of boat lights during night for VIIRS DNB imaging data

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