Study on atmospheric correction and retrieval of chlorophyll-a from East lake using Hyperion hyperspectral image

Water quality monitoring of inland lakes is an important component of environment quality monitoring. Some features of substance in water can be extracted by analysis spectra of water. Hyperspectral image gives us an important resource to support quantitative study of case 2 water. In this paper, we study to build a inverse model to retrieve chlorophyll-a from East lake(Wuhan) using Hyperion image. Mainly study is based on preprocessing of hyperspectral image by FLAASH atmosphere correction model in ENVI with MODTRAN4+ parameters build-in it. This work is the key step for the later inverse modeling work. Then two-band ratio model is built to retrieve Chlorophyll-a data from the corrected hyperspectral image. The pearson correlation coefficient of two-band ratio model is about 0.844, and RMSE is about 15.41. Compare with single-band model and first-derivation model, two-band ratio model is more suitable for building inverse model for inland lake factors.