2017, 36(2) 616-623,642 DOI: 10.3969/j.issn.1004-5589.2017.02.029 ISSN: 1004-5589 CN: 22-1111/P | |||||||||||||||||||||||||||||||||||||||
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Quantitative inversion of nearshore suspended sediment and chlorophyll-a concentration based on Landsat-8 data in South China Sea | |||||||||||||||||||||||||||||||||||||||
MENG Fan-xiao, CHEN Sheng-bo, ZHANG Guo-liang, FAN Xian-chuang | |||||||||||||||||||||||||||||||||||||||
College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China | |||||||||||||||||||||||||||||||||||||||
Abstract��
In order to estimate the nearshore suspended sediment concentration and the concentration of chlorophyll-a in South China Sea, the authors determined their sensitive wave bands and built the experience models based on Landsat-8 data. The results showed that Band 1, Band 2 and Band 4 in Landsat-8 data were sensitive to suspended sediment, and Band 1, Band 2 and Band 3 were sensitive to chlorophyll-a. However, the single-band model was not accurate enough to retrieve the concentration of suspended sediment or chlorophyll-a, therefore, a combination estimation model was established. The correlation coefficient, average relative error and inversion accuracy of suspended sediment concentration inversion model using Band 1, Band 2 and Band 4 were 0.904, 10.24% and 89.76%, respectively. The correlation coefficient, average relative error and inversion accuracy of chlorophyll-a concentration inversion model using Band 1, Band 2 and Band 3 were 0.886, 11.27% and 88.73%, respectively. | |||||||||||||||||||||||||||||||||||||||
Keywords�� Landsat-8 suspended sediment chlorophyll-a estimation model spatial distribution | |||||||||||||||||||||||||||||||||||||||
Received 2016-08-23 Revised 2016-10-30 Online: | |||||||||||||||||||||||||||||||||||||||
DOI: 10.3969/j.issn.1004-5589.2017.02.029 | |||||||||||||||||||||||||||||||||||||||
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Email: chensb@jlu.edu.cn | |||||||||||||||||||||||||||||||||||||||
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