MODIS remote sensing evaluation method for eutrophication lake algae gauss vertical distribution structural parameters

Abstract

The invention provides a MODIS remote sensing evaluation method for eutrophication lake algae gauss vertical distribution structural parameters. Based on field actual measurement data, a function expression and remote sensing identification method for the same for alge gauss vertical distribution are determined with a combination a alge bloom identification index NDBI and synchronous external environment factor wind speed; based on Hydrolight radiation transferring simulation, ground spectrum database of different alge gauss vertical distribution can be built; by the use of a BP neural network model, a remote sensing evaluation method for the lake algae gauss vertical distribution structural parameters based on simulation data is built; with simulation of various aerosol types, thickness, various solar altitude, satellite observation angles and azimuthal angles, a quantitative relation between ground-based simulation remote sensing reflectance ratio Rrs and a simulated Rayleigh scattering corrected Rrc is acquired; the evaluation method for the algae gauss vertical distribution structural parameters based on spectrum data simulation can be promoted to MODIS satellite image data corrected by Rayleigh scattering.

Description

technical field [0001] The invention relates to a MODIS remote sensing estimation method for the Gaussian vertical distribution structure parameters of algae in eutrophic lakes Background technique [0002] In eutrophic water bodies, remote sensing methods have been widely used to monitor the outbreak degree and frequency of algal blooms (Bresciani et al.2014; Hu2009; Kahrue et al.2007; Kutser et al.2006; Odermatt et al.2012), and also carried out inversion of pigment concentration A lot of work, for example, chlorophyll concentration (Duan et al. 2010; Song etal. 2013b), phycocyanin concentration (Duan et al. 2012; Song et al. 2013a), etc. Most of these works are based on the inversion of optical parameters of surface water or the assumption of vertical uniformity of water column. However, remote sensing signals reflect the vertical structure at a certain depth below the water surface, and only relying on the surface layer will introduce errors. [0003] The area of ​​alg...

AI Technical Summary

Problems solved by technology

Changes in the vertical structure of algae make it impossible to monitor the eutrophication of the entire water body only by monitoring algal blooms on the water surface

Moreover, there are great challenges in the accuracy of optical parameters retrieved by remote sensing (Stramska and Stramski2005) and the estimation of pigmented biomass (Silulwane et al.2010).

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