Remote sensing retrieval method for extracting chlorophyll concentration distribution information of complex water body

A technology of chlorophyll concentration and distribution information, applied in the field of water quality analysis, can solve the problems of poor differentiation of optical signals, low reliability, poor application effect, etc., and achieve good data support and good reflection ability

Inactive Publication Date: 2015-12-02
国家海洋局南海预报中心
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Problems solved by technology

A variety of algorithms have been established for chlorophyll inversion methods, but the current algorithms still have the following problems: the first is that the semi-empirical remote sensing inversion algorithm and standard empirical algorithm for chlorophyll are better for a type of water body, but for Nearshore water bodies with complex optical characteristics, poor application effect and low reliability
In the nearshore, the water body is generally relatively turbid, and the influence of the absorption and scattering characteristics of particles will cause la

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  • Remote sensing retrieval method for extracting chlorophyll concentration distribution information of complex water body
  • Remote sensing retrieval method for extracting chlorophyll concentration distribution information of complex water body
  • Remote sensing retrieval method for extracting chlorophyll concentration distribution information of complex water body

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Embodiment Construction

[0035] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0036] This implementation takes the red tide event that occurred in the coastal waters of western Guangdong on November 24, 2014 as an example, and uses the MODISL0 data of the CMACast data transmission system as a remote sensing image to describe in detail the process of extracting chlorophyll concentration distribution products along the coast of South China using the method described. figure 1 It is a flow chart of the basic chlorophyll concentration inversion method described in the implementation of the present invention. Such as figure 1 Said, belonging method comprises steps:

[0037] A: Through the CMACast data transmission system, the MODISL0 original data on November 24, 2011 was received. The CMACast data transmission system converted the MODISL0 original data into the MODISL1b data in hdf format through the decoding algorithm.

[0038] B: Use Matlab so...

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Abstract

The invention relates to a remote sensing retrieval method for extracting chlorophyll concentration distribution information of a complex water body, which comprises the steps: receiving MODIS L0 data of a CMACast data transmission system in real time, and decoding to convert to a MODIS L1b data product in a hdf format; performing atmosphere correction on the MODIS L1b data product; performing dual optimization iteration chlorophyll inversion by reflection rate data subject to atmosphere correction. A GSM algorithm and a semiempirical algorithm of LI Zhongping are combined with a chlorophyll inversion algorithm, absorption scattering optical characteristics of phytoplankton are inverted by adopting twice nonlinear optimization iteration, thus avoiding influence of absorption fluorescent characteristics of CDOM on a reflection rate spectrum, more accurately extracting chlorophyll concentration information, and providing technical support for a water color remote sensing inversion algorithm.

Description

technical field [0001] The invention relates to a water quality analysis method, in particular to a method for extracting chlorophyll concentration distribution information of complex water bodies. Background technique [0002] The chlorophyll concentration distribution data products retrieved based on satellite remote sensing images MODIS can be used to analyze the water quality conditions of oceans, coastal areas, and lakes, the probability of red tide outbreaks, the eutrophication of water bodies, and the level of primary productivity. Accurate inversion of chlorophyll concentration distribution data is of great significance to the study of seawater harmful algal blooms, marine biological processes, marine carbon cycle and even global climate change. [0003] In recent years, the remote sensing inversion algorithm for extracting chlorophyll concentration distribution has received great attention and attention, and it is the most researched field of ocean color. A variety...

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Application Information

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IPC IPC(8): G01N21/47
Inventor 杨超宇白毅平赵雪
Owner 国家海洋局南海预报中心
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