Remote sensing quantitative monitoring of chlorophyll a concentration in Taihu Lake based on measured spectrum of water surface

In order to solve the regional and seasonal limitations of algorithm, database is introduced into chlorophyll a concentration inversion. Usually, inherent optical quantity different water bodies in seasons obtained through large number field experiments laboratory analysis, stored database, index established according body, season quantity. The main content this paper quantitatively monitor concentration, distribution evolution turbid eutrophic such as Taihu Lake by remote sensing. research inversion method strategy based on measured spectrum surface provides theoretical methodological support for its application sensing images. data mainly include: quality parameters, apparent Lake. results show that correlation coefficient R2=0.936, which linear sensitive high-value areas. This result not only reflects feasibility ratio model inversion, but also shows absolute error basically below 23 mg/m3, relatively stable.