30 October 2009 Chlorophyll-a concentration estimated by hyperspectral remote sensing in Liaodong Bay
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Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 749807 (2009) https://doi.org/10.1117/12.831247
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
The research was intended to estimate Chl-a concentration of coastal water in Liaodong Bay, China based on reflectance spectra data collected in situ and satellite hyperspectral data—Hyperion image. After processing and atmospheric correction, the reflectance of water extracted from Hyperion image can be used to express the spectral characteristics of different Chl-a concentration. Ratio calculation of reflectance between absorption and reflection peaks of Chl-a, the derivative analysis of spectrum can greatly improve the correlation with Chl-a concentration. Exponential model of Chl-a concentration with variable of band ratio between 681nm and 671nm was applied to Hyperion and the mean absolute percent error is 34% and root mean square error value is 3.30μgl-1.
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Jingjing Wang, Qingjiu Tian, Yingcheng Lu, "Chlorophyll-a concentration estimated by hyperspectral remote sensing in Liaodong Bay", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749807 (30 October 2009); doi: 10.1117/12.831247; https://doi.org/10.1117/12.831247
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