Lake eutrophication inversion method based on remote sensing data

Abstract

The invention relates to a lake eutrophication inversion method based on remote sensing data, and the method comprises the steps: dividing a lake water body into two types based on a surface reflectance product data set of a Landsat-8 inland lake and a corresponding actually measured chlorophyll a concentration, carrying out the wave band combination through combining with a baseline method, and respectively constructing inversion models of a nutrition state index TSI for the two types of water bodies. By the adoption of the method, estimation of the Landsat-8OLI in the lake nutrition state index TSI can be achieved, and the algorithm has certain universality and can be suitable for remote sensing estimation of large-scale lake eutrophication; besides, the method is used for observing small and medium-sized lakes, the limitation that a traditional medium-resolution water color satellite cannot observe is made up, lake eutrophication inversion precision and observation scale are improved, and reference is provided for lake water eutrophication monitoring and treatment and sustainable development of the lake water environment.

Description

technical field [0001] The invention belongs to the technical field of remote sensing, and in particular relates to a lake eutrophication inversion method based on remote sensing data. Background technique [0002] With the background of economic development and global climate change, eutrophication of inland water bodies has become a serious global problem (Wen et al.2019). Eutrophication of lakes leads to frequent outbreaks of cyanobacteria blooms, deterioration of lake water quality and degradation of ecosystem functions (Adrian et al.2009; Duan et al.2009; Huisman et al.2018). According to the survey of global lake conditions by the International Commission on Lake Environment, 54% of Asian lakes, 53% of European lakes, 48% of North American lakes, 41% of South American lakes and 28% of African lakes are affected by eutrophication (www .lescienze.it). Therefore, lake eutrophication monitoring has become the most urgent practical demand for inland lakes (IOCCG 2018). T...

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Problems solved by technology

However, due to the complexity of the optical properties of the water body itself, the radiation information received by the sensor is easily disturbed by external factors, the resolution of conventional remote sensors is relatively low, and the remote sensing data processing technology is not mature enough, there are still some problems in eutrophication remote sensing monitoring. Disadvantages: (1) The accuracy of remote sensing inversion of relevant water quality parameters is limited, and the indirect method may produce greater uncertainty than the direct method (Babin 2003; Odermatt et al.2012; Olmanson et al.2008; Sass et al.2007; Song et al.2012); (2) Due to the high complexity of the optical characteristics of inland waters, the remote sensing inversion algorithms for TSI related parameters are mostly based on empirical methods; resulting in a great limitation in the applicability of the algorithms (Babin 2003; Shi et al .2013); (3) The construction of models based on the measurement results of water quality parameters on the surface of the water body has limitations, and the optical information obtained by remote sensing is a comprehensive reflection of water body information at a certain depth (Shang et al.2011; Shi et al.2014) , the selection of indicators for eutrophication evaluation needs to be further determined

[0005] On the other hand, with the development of earth observation technology and the continuous improvement of the resolution of satellite remote sensing images, the complexity and workload of big data processing cannot be completed in a relatively short time based on the currently commonly used remote sensing analysis tools. Memory, hardware performance and storage space are all great challenges (Bian et al.2020)

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