A Method for Determining the Optimum Period of Remote Sensing Diagnosis of Hazards of Phyllostachys spp.

A kind of Phyllostachys spp., the best technology, applied in the fields of ecology, forestry, and geography, can solve the problems of poor overall effect and difficult application of forest prevention and quarantine

Active Publication Date: 2022-05-13
FUZHOU UNIV
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Problems solved by technology

For a long time, people have been committed to the research work of remote sensing precise monitoring of forest diseases and insect pests, and some achievements have been made, but it is difficult to apply in the actual work of forest prevention and quarantine, and the overall effect is not good

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  • A Method for Determining the Optimum Period of Remote Sensing Diagnosis of Hazards of Phyllostachys spp.
  • A Method for Determining the Optimum Period of Remote Sensing Diagnosis of Hazards of Phyllostachys spp.
  • A Method for Determining the Optimum Period of Remote Sensing Diagnosis of Hazards of Phyllostachys spp.

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Embodiment Construction

[0035] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0036] The present invention provides a kind of method for determining the optimal period of remote sensing diagnosis of Phyllostachys spp. harm, comprising the following steps:

[0037] Step S1. Determination of the threshold value for the hazard diagnosis of Phyllostachys spp.: set the state variable reflecting the harm of Phyllostachys spp. characteristics, so as to select the butterfly catastrophe model corresponding to the dimension of state variables and control variables; then, use the measured data to determine the hazard diagnosis threshold of Phyllostachys spp.; among them,

[0038] The butterfly factor a represents the greenness, that is, the normalized difference mountain vegetation index NDMVI;

[0039]

[0040] The deviation factor b represents the humidity, that is, the global vegetation humidity index GVMI;

[0041] ...

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Abstract

The invention relates to a method for determining the optimal time period for remote sensing diagnosis of the harm of Phyllostachys spp. (1) Based on the measured data and the catastrophe theory, determine the diagnostic threshold of Phyllostachys spp.; (2) Based on the available multi-time point remote sensing images, obtain the remote sensing response characteristics of the damage detection of Phyllostachys spp., including the leaf area index L A I. The characteristic spectral index CSI, the normalized difference mountain vegetation index NDMVI and the global vegetation humidity index GVMI, etc., and establish the time series data of each index based on this, and extract the damage level of Phyllostachys spp.; (3) Statistical pest risk evaluation indicators value and draw a graph to determine the best monitoring and early warning period for the pest. The invention can provide an important basis for the remote sensing detection and precise prevention and control of the pests of the Phyllostachys japonica.

Description

technical field [0001] The invention relates to the fields of forestry, ecology and geography, and in particular to a method for determining the optimal time period for remote sensing diagnosis of the harm of Phyllostachys spp. Background technique [0002] The bamboo poison moth (Pantanaphyllostachysae Chao) belongs to the genus Pantanaphyllostachysae Chao, which is mainly distributed in Fujian, Jiangxi, Zhejiang, Hunan, Sichuan, Guizhou, Jiangsu, Guangdong, Guangxi and other provinces and regions of China. It is one of the most important leaf-eating pests of bamboo. First, it has become an important factor that threatens the health of bamboo forests, especially moso bamboo forests, and restricts the development of bamboo industry. The pest has the characteristics of a wide area of ​​occurrence, strong damage, and fast spread, and is called "fire without smoke". For a long time, people have been committed to the research work of remote sensing precise monitoring of forest ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06
Inventor 许章华黄旭影胡新宇周紫嫣
Owner FUZHOU UNIV
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