Lake-reservoir cyanobacteria water bloom recognition method based on remote sensing monitoring and evidence fusion technology improvement

A technology of remote sensing monitoring and cyanobacteria bloom, which is applied in the field of environmental engineering to achieve the effect of improving the fitting accuracy

Active Publication Date: 2013-12-11
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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  • Summary
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Problems solved by technology

[0013] The purpose of the present invention is to solve the problem of effective identification of cyanobacteria blooms in lakes and reservoirs through the fusion technology of lake and reservoir ground monitoring points and remote sensing monitoring information

Method used

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  • Lake-reservoir cyanobacteria water bloom recognition method based on remote sensing monitoring and evidence fusion technology improvement
  • Lake-reservoir cyanobacteria water bloom recognition method based on remote sensing monitoring and evidence fusion technology improvement
  • Lake-reservoir cyanobacteria water bloom recognition method based on remote sensing monitoring and evidence fusion technology improvement

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Embodiment 1

[0101] The invention takes Taihu Lake water body as an example to identify the outbreak degree of cyanobacteria bloom, and adopts the concentration of chlorophyll a and the reflectance ratio of the water body remote sensing band corresponding to the concentration of chlorophyll a as the index for identifying the outbreak degree of cyanobacteria bloom.

[0102] Step 1. Establishing a remote sensing inversion model;

[0103] The ground monitoring point data is the concentration of chlorophyll a, and the reflectance ratios of remote sensing bands corresponding to the ground monitoring point data are shown in Table 2.

[0104] Table 2 Ratio of ground monitoring point data (chlorophyll a concentration) and remote sensing band reflectance

[0105]

[0106]

[0107] The normalized normalized vegetation index model was used to perform regression analysis on the chlorophyll a concentration and its corresponding remote sensing band reflectance ratio, and the Bagging algorithm in i...

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Abstract

The present invention discloses a lake-reservoir cyanobacteria water bloom recognition method based on remote sensing monitoring and evidence fusion technology improvement, and belongs to the technical field of environmental projects. The method comprises: establishing a remote sensing inversion model, determining cyanobacteria water bloom breaking-out degree recognition indexes, pre-treating monitoring data, assigning belief function values, and recognizing monitoring area cyanobacteria water bloom. According to the present invention, an ensemble learning Bagging algorithm is fused into regression analysis of the remote sensing inversion model (ie., the normalization vegetation index model) to correct parameters of the model to obtain the corrected remote sensing inversion model so as to improve fitting accuracy; the problem of selection of indexes for lake-reservoir cyanobacteria water bloom recognition and value ranges thereof is solved; the problems of selection of the monitoring area and pretreatment of the monitoring data are solved; the problem of assignment of the belief function values is solved; and effective cyanobacterial water bloom recognition is achieved.

Description

technical field [0001] The invention relates to a method for identifying cyanobacteria blooms in lakes and reservoirs, belonging to the technical field of environmental engineering, in particular to a method for identifying cyanobacteria blooms in lakes and reservoirs based on remote sensing monitoring and improved evidence fusion technology. Background technique [0002] With the development of social economy, the status and role of water resources in national economic and social development are becoming more and more prominent. However, in recent years, water bodies such as lakes and reservoirs in my country have received excessive plant nutrients such as nitrogen and phosphorus, causing algae and other aquatic plants to multiply abnormally, water transparency and dissolved oxygen have decreased, water quality has deteriorated, and fish and other organisms have died in large numbers The phenomenon of eutrophication in the water body is called algae bloom. Cyanobacteria blo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/18
Inventor 王小艺许继平王立施彦于家斌马新宇
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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