Reflectivity Characteristics of the Green and Golden Tides from the Yellow Sea and East China Sea

Sargassum Detection Using Machine Learning Models: A Case Study with the First 6 Months of GOCI-II Imagery

“…The spectral signatures of Sargassum obtained in the field represent typical vegetation patterns with strong absorption feature at 650-685 nm that is associated with photosynthetic pigments and a peak at 675 nm that correlates with high NIR reflectance, which may be due to the internal organizational structures [50]. All vegetations have the common feature of red edge reflectance, but this is often not observed in marine environments because of the high absorption of water molecule at red and NIR wavelengths as reported in a previous study [44]. The spectra describing the Sargassum endmember ("Out of water") showed similar patterns at 400-700 nm but considerable higher NIR reflectance above 700 nm than those obtained from Sargassum at the air-water interface ("In water").…”

“…Second, the slope of the red-green (SRG) index developed by Min et al [44] was used to distinguish U. prolifera from Sargassum via use of RhoC slopes of the green and red bands. To reduce the impact of interference from seawater, the RhoC was used in SRG RhoC of Sargassum after removing RhoC of nearby seawater from the entire reflectance.…”

“…Third, the Sargassum Index (SI) developed by Dierssen et al [45] was used, which uses the bands of 650 and 630 nm. Sargassum has the absorption feature at 630 nm, while Second, the slope of the red-green (SRG) index developed by Min et al [44] was used to distinguish U. prolifera from Sargassum via use of R hoC slopes of the green and red bands. To reduce the impact of interference from seawater, the R hoC was used in SRG R hoC of Sargassum after removing R hoC of nearby seawater from the entire reflectance.…”

Special Issue on “Advances in Geospatial Research of Coastal Environments”

“…The detection and analysis of the green and golden tides in the Yellow Sea and the East China Sea have been performed (Chen et al, 2019b;Kim et al, 2019a;Liang et al, 2019;Min et al, 2019;Wang et al, 2019) and the detection and prediction of the red tide have been studied (Kim et al, 2019c;Liu et al, 2019;Park et al, 2019a;Shin et al, 2019). And the environmental monitoring studies were also conducted from the OISST, ARGO, MODIS, Landsat, and TerraSAR-X images (Baek and Moon, 2019;Chen et al, 2019a;Eom et al, 2019;Hong et al, 2019;Jeong et al, 2019;Jung et al, 2019;Lee et al, 2019a;Li et al, 2019;Ma et al, 2019;Mu et al, 2019;Sun et al, 2019;Tong et al, 2019;Qing, Hao, and Bao, 2019;Ren et al, 2019b;Xiao, Zhang, and Qin, 2019;Zhang et al, 2019aZhang et al, , 2019b The research topics of the oil spill, typhoon, flood, and nuclear radiation emergent have been carried out by using optical and SAR images (Bing et al, 2019;Jin et al, 2019;Kim and Moon, 2019;Park et al, 2019b;Syifa et al, 2019;Yang et al, 2019).…”