Chu, Q; Zhang, YC; Ma, RH; Hu, MQ; Jing, YY (2020). MODIS-Based Remote Estimation of Absorption Coefficients of an Inland Turbid Lake in China. REMOTE SENSING, 12(12), 1940.

Optical complexity and various properties of Case 2 waters make it essential to derive inherent optical properties (IOPs) through an appropriate method. Based on field measured data of Lake Chaohu between 2009 and 2018, the quasi-analytical algorithm (QAA) was modified for the particular scenario of that lake to derive absorption coefficients based on the moderate-resolution imaging spectroradiometer (MODIS) bands. By changing the reference wavelength to longer ones and building a relationship between the value of spectral power for particle backscattering coefficient (Y), suspended particulate matter (SPM), and above-surface remote-sensing reflectance (R-rs), we improved the accuracy of the retrieval of total absorption coefficients. The absorption coefficients of gelbstoff and non-algal particulates (a(dg)) and absorption coefficients of phytoplankton (a(ph)) in Lake Chaohu were also derived by changing important parameters according to Lake Chaohu. The derived a(ph)tend to be bigger than measured a(ph)in this study, while derived a(dg)tend to be smaller than measured data. We also used the corrected MODIS surface reflectance product (MOD09/MYD09) to calculate the a(ph)(443), a(ph)(645), and a(ph)(678) by the model proposed in this study. It shows that in summer and autumn, a(ph)tended to be higher in the northwestern part of Lake Chaohu, and were relatively lower in the spring and winter, which is similar to previous studies. Overall, our study provides an algorithm that is effectively used in the case of Lake Chaohu and applicable to the data obtained by MODIS, which can be used for further study to investigate the change law of absorption coefficients in long time series by applying MODIS data.