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A dynamic simulation method for the occurrence and spread of Populus euphratica spring inchworm based on the clue-s model

A dynamic simulation and spring inchworm technology, applied in the field of dynamic simulation of the occurrence and spread of Populus euphratica, can solve the problems of inability to carry out precise control, low control rate of Populus euphratica, and no research on dynamic changes in spatial distribution

Active Publication Date: 2022-06-07
贾翔
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a dynamic simulation method for the occurrence and spread of Populus euphratica inchworm based on the CLUE-S model, which overcomes the above-mentioned deficiencies in the prior art, and can effectively solve the lack of dynamic changes in the spatial distribution of Populus euphratica inchworm in the prior art. Research shows that the control rate of Populus euphratica spring is low, and precise control cannot be carried out. The pest pest seriously threatens the survival of Populus euphratica forest and the ecological security of artificial oasis.

Method used

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  • A dynamic simulation method for the occurrence and spread of Populus euphratica spring inchworm based on the clue-s model
  • A dynamic simulation method for the occurrence and spread of Populus euphratica spring inchworm based on the clue-s model
  • A dynamic simulation method for the occurrence and spread of Populus euphratica spring inchworm based on the clue-s model

Examples

Experimental program
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Effect test

Embodiment 1

[0079] Example 1: as attached figure 1 , 2 , 3, the dynamic simulation method based on the CLUE-S model for the occurrence and spread of Euphratica euphratica includes the following steps:

[0080] The first step is to collect the basic data on the insect pests of Populus euphratica in the study area;

[0081] The above-mentioned basic data of the study area mainly include the place names, administrative boundaries, main water system rivers, main roads, residential points and other element data within the study area, as well as the main types of pests.

[0082] The second step is to extract the insect pest data of Populus euphratica to be analyzed in the study area, including:

[0083] (1) Preprocess data to obtain time series data;

[0084] (2) Extract the preprocessed pest information, and use the S-G filtering method to analyze the time series curve;

[0085] The above S-G filtering method is used to analyze and reconstruct the time series curve, and deal with the outli...

Embodiment 2

[0134] Example 2: as Figures 5 to 20 As shown, the distribution area of ​​Populus euphratica in Xiahe Forest District, Bachu County, Xinjiang was used as the research area to study the occurrence of Euphratica euphratica, and the multi-temporal, medium-resolution MODIS data were used to extract the pest occurrence area in 2001, 2006, 2011, and 2016. Combined with field sampling and field investigation, the CLUE-S model was used to analyze and predict the occurrence and distribution of insect pests, inversion of the 2006 Populus euphratica infestation, and prediction of the spatial distribution of various grades of E. Combined with the field investigation, the corridor effect of the occurrence of Euphratica euphratica pests was verified.

[0135] This example uses Landsat images to determine the distribution area of ​​Populus euphratica, and uses MODIS13Q1NDVI data from 2001 to 2016 to analyze and determine the occurrence area of ​​Populus euphratica infestation, classify the ...

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Abstract

The present invention relates to the technical field of pest control of Populus euphratica, and is a dynamic simulation method for the occurrence and spread of Populus euphratica based on the CLUE-S model. The first step is to extract the pest data of Populus euphratica in the research area to be analyzed. The third step is to simulate the Populus euphratica inchworm based on the CLUE-S model. The fourth step is to predict and analyze the spread of Populus euphratica. ; The fifth step is to verify the corridor effect. The present invention conducts spatial dynamic research on Populus euphratica pest information by means of remote sensing and the CLUE-S model, which can be used as the basis for remote sensing extraction of Populus euphratica pest information in other areas, and provides early warning, which can realize targeted prevention of Populus euphratica pest disaster. Promote the development of comprehensive prevention and control technology with ecological control as the core, and provide a reliable time point and orientation point for the proposal of prevention and control measures.

Description

technical field [0001] The invention relates to the technical field of insect pest control of Populus euphratica, and relates to a dynamic simulation method for the occurrence and spreading process of Populus euphratica based on a CLUE-S model. Background technique [0002] Forest diseases and insect pests are one of the main factors affecting forest health. On a larger spatial scale, the use of remote sensing technology to monitor the phenomenon of leaf loss by forest diseases and insect pests has become a common technology. If the phenomenon of tree leaf loss is serious, it may cause the death of the plant, and even lead to the decline of a large area of ​​the tree. [0003] Populus euphratica (Populuseuphratica), also known as Populus heterophylla, is a special desert vegetation, drought-resistant and waterlogging-resistant, and has tenacious vitality. It is one of the rare tree species in nature. In Bachu County, the southwestern margin of the Tarim Basin in Xinjiang, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20
CPCG06F30/20
Inventor 贾翔陈孟禹黄铁成来风兵陈蜀江尹小英
Owner 贾翔
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