MODIS remote sensing monitoring method for vertical distribution pattern of eutrophic lake water algae

Abstract

The invention provides an MODIS remote sensing monitoring method for the vertical distribution pattern of eutrophic lake water algae. The method includes: acquiring the vertical distribution pattern of the algae by means of field monitoring; on the basis of field measured water surface spectral information and environmental information, creating a ground measured spectral data (Rrs) based remote sensing monitoring method for vertical algae distribution; acquiring the quantitative relationship between ground monitoring and remote sensing reflectance Rrs and simulated Rrc after Rayleigh scattering correction by simulating different aerosol types and thicknesses and different solar altitudes, satellite observation angles and azimuthal angles; further promoting the ground measured spectral data based monitoring method for vertical algae distribution to MODIS satellite image data subjected to Rayleigh scattering correction. On the basis of the method, interannual and inter-monthly change rules and spatial distribution of the vertical distribution pattern of the eutrophic lake water algae can be acquired accurately, and scientific support is provided for scientific decision-making on water resource management and water environment protection water conservancy and environmental protection departments.

Description

technical field [0001] The invention relates to a MODIS remote sensing monitoring method for vertical distribution types of algae in eutrophic lake water. Background technique [0002] In eutrophic water bodies, remote sensing has been widely used to monitor the extent and frequency of algal blooms (Bresciani et al. 2014; Hu 2009; Kahru et al. 2007; Kutser et al. 2006; Odermatt et al. 2012), A lot of work has also been done on the inversion of pigment concentration, for example, chlorophyll concentration (Duan et al. 2010; Song et al. 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 ​​algal blooms monitored by remote ...

AI Technical Summary

Problems solved by technology

Although there are few studies on the vertical distribution of algae in eutrophic lakes based on measured data (Kutser et al. 2008), however, there are still rapid changes in the vertical distribution of algae in eutrophic lakes, and even present different distributions within a day type of case (D'Alimonte et al. 2014)

This situation results in assumptions made in marine and near-shore water bodies that do not apply to inland lakes

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