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Methods of detecting locust infestations

A locust plague and detection technology, which is applied in the agricultural field, can solve the problems of low detection accuracy, difficulty in obtaining test results, and inability to accurately detect locust plagues, so as to achieve accurate detection and improve precision

Active Publication Date: 2017-09-15
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Problems solved by technology

However, both of these methods use a single image data to detect locust plagues, the detection accuracy is not high, and it is difficult to obtain accurate detection results
[0004] Therefore, existing methods for detecting locust infestation cannot accurately detect locust infestation

Method used

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  • Methods of detecting locust infestations
  • Methods of detecting locust infestations
  • Methods of detecting locust infestations

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Embodiment Construction

[0020] Exemplary embodiments of the present invention will be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments are shown. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to example embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the example embodiments to those skilled in the art.

[0021] figure 1 A flowchart showing a method for detecting a locust plague according to an exemplary embodiment of the present invention.

[0022] In step S100, multi-source remote sensing data of the detected area is acquired. Wherein, the multi-source remote sensing data includes: full polarization synthetic aperture radar (SAR) data, moderate resolution imaging spectroradiometer (MODIS) temperature and thematic mapper (TM) vegetation index. Here, the obtained full-...

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Abstract

The invention provides a method for detecting locust disasters. The method includes: (A) acquiring multi-source remote sensing data of the detected area, wherein the multi-source remote sensing data includes: full polarization synthetic aperture radar data, medium resolution imaging spectrometer temperature and thematic mapping instrument vegetation index; ( B) Obtaining the average polarization scattering angle and polarization scattering entropy from the full polarization SAR data; (C) Obtaining the average polarization scattering angle, polarization scattering entropy, medium resolution imaging spectrometer temperature and thematic mapper vegetation index Difference locust plague index; (D) determine whether locust plague occurs in the detected area according to the difference locust plague index.

Description

technical field [0001] The invention relates to the field of agriculture, and more specifically, relates to a method for detecting locust plagues. Background technique [0002] The East Asian migratory locust is the most common insect that induces locust plagues in northern China. It feeds on grasses and is the dominant species in northern my country. It is also one of the insects that seriously damage the ecosystem in northern my country. After the locust plague occurs, a large number of locusts will devour the grain fields, completely destroying agricultural products, causing serious economic losses and even famine due to food shortages. Therefore, accurate detection of locust plagues is crucial to timely containment of locust disasters. [0003] At present, the following two methods are mainly used to detect locust plagues: using meteorological data and Moderate Resolution Imaging Spectrometer (MODIS) data to calculate the normalized difference vegetation index to detect...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 韩宇陈劲松陈华安陈工
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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