Journal
REMOTE SENSING
Volume 8, Issue 4, Pages -Publisher
MDPI
DOI: 10.3390/rs8040321
Keywords
Yellow Sea; spectral reflectance classification; MERIS
Categories
Funding
- National Natural Science Foundation of China [41325004, 41471308, 41276184, 41571361]
- program for the investigation and analysis of the ocean optical properties in the Chinese Yellow Sea and Bohai Sea [G1400519]
- program for the investigation and study of the ocean optics and remote sensing in China's offshore region [908-ZC-I-04]
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Remote sensing reflectance (Rrs) classification of coastal waters is a useful tool to monitor environmental processes and manage marine environmental resources. This study presents classification work for data sets that were collected in the Yellow Sea during six cruises (spring and autumn, 2003; summer and winter, 2006/2007; and spring and autumn, 2007). Specifically, we analyzed classification features of Rrs spectra and obtained spatio-temporal characteristics of reflectance and bio-optical properties in the coastal waters. Yellow Sea waters were classified into the following four typical regions based on their spatial distribution characteristics: middle of the Yellow Sea (MYS), north Yellow Sea (NYS), coastal Shandong (CS), and Jiangsu shoal (JS), and five water type categories consisting of Classes A-E were used to represent water colors from clear to very turbid. Application of this classification scheme to Medium Resolution Imaging Spectrometer (MERIS) imagery revealed seasonal variations in the data, which suggests that the water types have both significant temporal and spatial distributions. In particular, the area of Class E waters in the Jiangsu shoal tended to gradually shrink in summer and expand in winter. The spatio-temporal variability was due to the influence of various environmental factors such as currents, tidal activity, fresh water discharges, monsoon winds, and typhoons.
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