Inversion dataset of suspended solids concentration from 2000 to 2013 in Poyang Lake，China

Suspended solids concentration (SSC) is an important parameter to evaluate water quality and water environment. To obtain data on the spatio-temporal distribution of SSC via remote sensing technologies has great implications for lake environmental management. Here we conducted a linear regression analysis on the measured SSC data in spring, summer, autumn and winter consecutively during 2009 – 2012, and on the multi-band MODIS images of the same period, through which to build four seasons inversion models. The models were then used to generate the SSC of Poyang Lake in spring, summer, autumn and winter during 2000 – 2013. A validation against measured data shows that the inversion models have a relative error of less than 40%, meeting the requirements of long-term SSC inversion in Poyang Lake. Generated from these models, the data set is expected to provide statistical support for water environment remote-sensing monitoring and regional environmental management in Poyang Lake.