Assessment of NIR-red algorithms for observation of chlorophyll-a in highly turbid inland waters in China

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• 作者：Changchun Huang^a ; ^{huangchangchun_aaa@163.com" class="auth_mail} ; ^{changchunhuang1982@gmail.com" class="auth_mail} ; Jun Zou^a ; ^{zoujun@njnu.edu.cn" class="auth_mail} ; Yunmei Li^a ; Hao Yang^a ; Kun Shi^b ; Junsheng Li^c ; Yanhua Wang^a ; Xia Chena^a ; Fa Zheng^d
• 关键词：Optimal spectral band ; Optical properties ; Chinese inland waters ; MERIS ; GOCI ; Two-band and three-band algorithm
• 刊名：ISPRS Journal of Photogrammetry and Remote Sensing
• 出版年：July 2014
• 年：2014
• 卷：93
• 期：Complete
• 页码：29-39
• 全文大小：1863 K

文摘

It has been proven that empirical (two-band) and semi-analytical (three-band) algorithms based on near-infrared and red (NIR-red) wavelengths can be used for estimating C  _chl-a in highly turbid productive waters with satisfactory performance. However, the optimal spectral bands and parameters of algorithms vary significantly because of the different optical properties of datasets. Using a comprehensive dataset, we validate and evaluate the applicability of empirical and semi-analytical algorithms for deriving C  _chl-a for inland lakes in China. The comprehensive dataset contains 993 in situ   samples collected from five inland lakes in China between 2006 and 2013. The optimal algorithms, R  _rs(706)/R  _rs(685) and $[R_{\text{rs}}^{-1}(685)-R_{\text{rs}}^{-1}(707)]R_{\text{rs}}(722)$, are calibrated using an in situ dataset, with root mean square errors (RMSEs) of 10.66 mg/m³ and 8.47 mg/m³, respectively. The RMSEs of the NIR-red two- and three-band algorithms for the validation data are 11.1 mg/m³ and 8.82 mg/m³, respectively. The RMSEs increase to 13.17 mg/m³ and 12.58 mg/m³ when the algorithms are applied to Medium Resolution Imaging Spectrometer (MERIS) and Geostationary Ocean Color Imager (GOCI) centre wavelengths. The RMSEs for the validation data decrease to 8.80 mg/m³ and 7.78 mg/m³ when the optimal spectral band (位₁) shifts to 671 nm. The RMSEs decrease to 10.03 mg/m³ and 9.09 mg/m³ as a result of optimization of the model parameters when the algorithms are applied to MERIS and GOCI centre wavelengths. The shifting of the optimal spectral band (the difference between 671 nm and 685 nm) increases the RMSEs from 8.80 mg/m³ to 11.1 mg/m³ for the two-band algorithm, and slightly increases the RMSEs from 7.78 mg/m³ to 8.82 mg/m³ for the three-band algorithm. This indicates that the three-band algorithm is much more suitable for high-turbidity water than the two-band algorithm. Nevertheless, the two-band model can be used for extremely turbid and low C_chl-a waters for analysis of the retrieval results after cluster analysis of remote sensing reflectance. Meanwhile, shifting of the optimal spectral bands (位₁) is highly correlated with the total suspended matter concentration (C_TSM) (the Pearson correlation coefficient between 位₁ and C_TSM can reach 0.95). In conclusion, the results indicate that both the two- and three-band algorithms have high potential applicability for derivation of C_chl-a in high-turbidity inland waters in China.