Wheat stripe disease severity remote sensing monitoring method coupled with meteorological characteristic region scale

A technology of remote sensing monitoring and feature area, which is applied in the fields of instruments, character and pattern recognition, computer parts, etc., can solve the problems of poor remote sensing monitoring accuracy of wheat stripe rust and so on.

Pending Publication Date: 2020-10-02
ANHUI UNIVERSITY
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Problems solved by technology

[0008] The purpose of the present invention is to solve the defect of poor remote sensing monitoring accuracy of wheat stripe rust in the prior art, and provide a remote sensing monitoring method of wheat stripe rust severity coupled with regional scale of meteorological characteristics to solve the above problems

Method used

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  • Wheat stripe disease severity remote sensing monitoring method coupled with meteorological characteristic region scale
  • Wheat stripe disease severity remote sensing monitoring method coupled with meteorological characteristic region scale
  • Wheat stripe disease severity remote sensing monitoring method coupled with meteorological characteristic region scale

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Embodiment Construction

[0092] In order to have a further understanding and understanding of the structural features of the present invention and the achieved effects, the preferred embodiments and accompanying drawings are used for a detailed description, as follows:

[0093] Such as figure 1 As shown, a remote sensing monitoring method for wheat stripe disease severity of a coupling meteorological characteristic regional scale described in the present invention comprises the following steps:

[0094] The first step is the acquisition of remote sensing training data, obtaining remote sensing image data and corresponding meteorological data for training.

[0095] In the present invention, the data used mainly include remote sensing data and field meteorological data of wheat stripe rust. The remote sensing data is Sentinel-2 satellite remote sensing data. Its detailed band and resolution information are shown in Table 1. According to the weather conditions in the study area, the image data with be...

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Abstract

The invention relates to a wheat stripe rust severity remote sensing monitoring method coupled with the meteorological characteristic region scale. Compared with the prior art, the method irons out the defect of poor remote sensing monitoring precision of wheat stripe rust. The method comprises the following steps: acquiring remote sensing training data; screening features of the remote sensing training data; screening features of meteorological data; constructing a wheat stripe embroidery remote sensing monitoring model; training a wheat stripe embroidery remote sensing monitoring model; acquiring remote sensing data to be analyzed and extracting features; and obtaining a remote sensing monitoring result of the wheat stripe disease severity. According to the method, the severity of the wheat stripe rust on the regional scale is accurately monitored.

Description

technical field [0001] The invention relates to the technical field of remote sensing monitoring, in particular to a remote sensing monitoring method for wheat stripe disease severity coupled with regional scales of meteorological features. Background technique [0002] Wheat stripe rust (Puccinia striiformis f.sptritici) is defined by FAO as a major epidemic disease of global grain production. Wheat stripe rust is highly explosive, harmful and covers a wide area. It is one of the important diseases of wheat in my country and one of the main disease control targets. Traditional pest monitoring methods are time-consuming and labor-intensive, and are difficult to use in large-scale pest monitoring and forecasting. Combining the characteristics of large spatial coverage of remote sensing images and meteorological data, the establishment of large-scale pest monitoring models is of great significance to the prevention and control of pests. [0003] At present, some scholars use ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/188G06F18/23213G06F18/2411G06F18/24147G06F18/214
Inventor 黄林生刘勇江静吴康黄文江张东彦赵晋陵翁士状曾玮雷雨
Owner ANHUI UNIVERSITY
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