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Estimation of Chlorophyll a Concentration Using NIR/Red Bands of MERIS and Classification Procedure in Inland Turbid Water

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7 Author(s)
Yunmei Li ; Key Lab. of Virtual Geographic Environ., Nanjing Normal Univ., Nanjing, China ; Qiao Wang ; Chuanqing Wu ; Shaohua Zhao
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The classification criteria are established to classify the water of Taihu Lake into four classes based on above-water remote sensing reflectance (Rrs), i.e., types A to D. Among the four water types, type A spectra represented the case of waters where algal blooms or aquatic plants appeared, while type B is referred to the water with high suspended matter concentration and low chlorophyll a concentration (Cchla). Both types A and B were not suitable for retrieving Cchla from image data. Hence, three-band, four-band, and two-band ratio algorithms were constructed to retrieve Cchla from water types C and D. The obtained results showed that the relation trends between Cchla and Rrs were different between type C and type D waters. By using Medium Resolution Imaging Spectrometer images, acquired on November 11, 2007 and November 20, 2008, the Cchla of Taihu Lake was mapped by band 9/band 7 models; it could be concluded that the Cchla mainly ranged from 0 to 20 mg · m-3, accounting for 83.70% of the whole lake area in 2007 image, while the area was 86.63% in 2008 image. The estimation accuracies varied from different Cchla ranges. The mean absolute percent errors obtained by band 9/band 7 models were 106.23%, 56.79%, 38.04%, 33.80%, and 58.74% for the ranges 0 mg · m-3 <; Cchla <; = 5 mg · m-3, 5 mg · m-3 <; Cchla <; = 10 mg · m-3, 10 Cchla <; = 20 mg · m-3, 20 mg · m-3 <; Cchla <; = and 30 mg · m-3 <; Cchla, respectively. Correspondingly, the root-mean-square errors were 5.02, 4.45, 5.59, 8.72, and 32.55 mg · m-3, respectively.

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Geoscience and Remote Sensing, IEEE Transactions on  (Volume:50 ,  Issue: 3 )