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

Abstract

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