Lake eutrophication inversion method based on remote sensing data

A technology of remote sensing data and eutrophication, applied in the field of remote sensing, can solve the problems of remote sensing data processing with low resolution of remote sensors, sensor radiation information is easily interfered by external factors, and algorithm applicability limitations

Pending Publication Date: 2021-06-18
NANJING INST OF GEOGRAPHY & LIMNOLOGY
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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 ...

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  • Lake eutrophication inversion method based on remote sensing data
  • Lake eutrophication inversion method based on remote sensing data
  • Lake eutrophication inversion method based on remote sensing data

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Embodiment 1

[0096] In this embodiment, 146 lakes in the middle and lower reaches of the Yangtze River and the Huaihe River Basin are taken as examples to further describe the technical solution of the present invention.

[0097]The method of the present invention is based on the actually measured chlorophyll a data in the research area and the SR data of the synchronous Landsat-8OLI, uses the chlorophyll a data to calculate the TSI at different sampling points, uses the visible light band and the near-infrared band to construct the CBI index, and then constructs a system based on CBI’s TSI eutrophication inversion model (CBI-TSI); later, the algorithm was applied to some lake cases to evaluate its performance; finally, the algorithm was applied to 146 10km 2 On the above lakes, the temporal and spatial distribution characteristics of TSI from 2013 to 2019 were obtained.

[0098] As an exemplary description, the implementation of the aforementioned method will be specifically described bel...

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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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Application Information

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IPC IPC(8): G06F30/27G06F17/18G06Q10/06G06Q50/26G01N21/17G01N21/55G06F111/10
CPCG06F30/27G06F17/18G06Q10/0639G06Q50/26G01N21/55G01N21/17G06F2111/10G01N2021/1793
Inventor 胡旻琪马荣华
Owner NANJING INST OF GEOGRAPHY & LIMNOLOGY
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