Abstract
Remote sensing indices have been widely used for mapping water quality parameters such as the suspended material and chlorophyll-a concentration. This study aims at investigating the spatio-temporal performance of spectral indices for mapping suspended sediments in water using Landsat 8 data. The results show that the normalized suspended material index (NSMI) is the most effective index for multi-temporal mapping of suspended solids. The use of other spectral indices in the visible to shortwave infrared also offers reasonable estimation (R2 > 0.7; p< 0.05) of water quality parameters. It is recommended that the performance of the tested indices be compared with other indices derived from high resolution data such as the Ziyuan-3 and Sentinel-2 satellites for operational monitoring of inland water bodies.
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