期刊
INTERNATIONAL JOURNAL OF REMOTE SENSING
卷 36, 期 15, 页码 3875-3889出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/01431161.2015.1055606
关键词
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资金
- National Natural Science Foundation of China [41401388, 41331174]
- National Science & Technology Major Project (Water Major Project) [2013ZX07105-005]
- National High Technology Research and Development Programme of China [2012AA12A304]
- Fundamental Research Funds for the Central Universities [2015904020201]
A new empirical index, termed the normalized suspended sediment index (NSSI), is proposed to predict total suspended sediment (TSS) concentrations in inland turbid waters using Medium Resolution Imaging Spectrometer (MERIS) full-resolution (FR) 300 m data. The algorithm is based on the normalized difference between two MERIS spectral bands, 560 and 760 nm. NSSI shows its potential in application to our study region - Poyang Lake - the largest freshwater lake in China. An exponential function (R-2 = 0.90, p < 0.01) accurately explained the variance in the in situ data and showed better performance for the TSS range 10-524 mg l(-1). The algorithm was then validated with TSS estimates using an atmospheric-corrected MERIS FR image. The validation showed that the NSSI algorithm was a more robust TSS algorithm than the band-ratio algorithms. Findings of this research imply that NSSI can be successfully used on MERIS images to obtain TSS in Poyang Lake. This work provided a practical remote-sensing approach to estimate TSS in the optically and hydrologically complex Poyang Lake and the method can be easily extended to other similar waters.
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