Abstract:

In order to develop a fast way for monitoring chlorophylla concentration in Lake Dianshan of Shanghai, the reflection spectra in spring of 2006 was measured with simultaneous sampling and analysis,and the correlation between chlorophylla concentration and reflection spectra was studied on the basis of different chlorophylla algorithms. The accuracy of the linear algorithm using the normalized reflectance is not high (R2<0.6). The relationship between chlorophylla concentration and the bandratios R708/R667 can improve the accuracy (R2=0.68). The exponential algorithm between chlorophylla concentration and the first order differential of the reflectance at 695.5 nm is good (R2=0.76). Multivariate regression models with the normalized reflectance at 708 nm and 607 nm and their logarithm were also established with a higher accuracy, and the best model was achieved with the logarithm at 708 nm and 607 nm (R2=0.8).The present study thus demonstrated the potential of monitoring chlorophylla concentration by using hyperspectral remote sensing technology in inland waterbody.

Key words: hyper spectral remote sensing, chlorophylla, water quality monitoring, Lake Dianshan