VIIRS-derived annual mean chlorophyll-a in China large lakes from 2012 to 2021

<p>This dataset included annual mean Chl-a in China&#39;s large lakes (&gt;50 km²) derived from VIIRS-SNPP imagery from 2012 to 2021. The dataset is stored as the Geo-Tiff data.</p> <p>To generate this dataset, we develop a practical deep neural network (DNN) model . &nbsp;The DNN model performed satisfactory performance on Chl-a retrievals (MR = 0.86, MAPE = 32%, Bias = 5%)&nbsp;over the three magnitudes (0.1&ndash;300 &mu;g L^&minus;1) spanning clear/deep to turbid/shallow waters, with significant improvements compared with the existing algorithms and other machine learning approaches.&nbsp;</p> <p>The dataset is related to a under-review manuscript and we will release it when the paper is published.</p>