Method for estimating suspended matter concentration in turbid lake water based on VIIRS sensor

Abstract

The invention relates to a method for estimating suspended matter concentration in turbid lake water based on a VIIRS sensor. The method comprises: based on lake field measured spectrum and substance concentration data, analyzing optical properties of water body and water quality dominant factors; screening wave bands which are sensitive to suspended matter concentration variation in the turbid lake water, using curve fitting to determine an optimal model of suspended matter concentration and ground measured spectrum (Rrs); using Rrc data which is removed with water vapor and ozone absorption and corrected by Rayleigh scattering to establish a suspended matter concentration quantitative model which is suitable to be used for the VIIRS; and finally, using the established model on a VIIRS image, to accurately obtain interannual and inter-monthly variation rules and spatial distribution of the suspended matter concentration of the turbid lake water. Using the method can realize long-term high-precision monitoring of suspended matter concentration of a lake, and the method is helpful to scientifically evaluate interannual suspended matter concentration variation and development trends thereof, and effectively evaluate ecological environment changes of lake water.

Description

technical field [0001] The invention relates to a method for estimating the concentration of suspended matter in inland turbid lake water based on a VIIRS sensor data source. Background technique [0002] Obtaining long-term series of surface observation data and generating relevant parameter products is one of the main goals of launching Earth observation satellites (Hu and Le, 2014); however, due to the limited life of satellites, it is particularly important to maintain the alternation and continuity between satellites. Starting from the CZCS sensor in 1978, after more than a dozen sensors such as SeaWiFS, MODIS, and MERIS, a global ocean and lake bio-earth parameter observation network has been initially formed (IOCCG, 2012). At present, MODIS is the main sensor for water color remote sensing of oceans and inland water bodies in the world. However, since Terra (1999) and Aqua (2002) were launched successively, MODIS has been in service for more than 6 years, far exceedin...

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Problems solved by technology

However, most of the existing models are based on the remote sensing reflectivity R rs However, due to the complexity of aerosols in inland water bodies and the turbidity of water bodies, there is currently no general-purpose accurate atmospheric correction algorithm for turbid water bodies, especially when large-scale inversion of long-term satellite data is more difficult

The previous research tried to use the near-infrared standard atmospheric correction algorithm and the short-wave infrared atmospheric correction algorithm provided by SeaDAS 7.2 to perform atmospheric correction on VIIRS, but in the end the influence of aerosols could not be effectively removed, and it was difficult to obtain R rs product

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