Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method for determining a remote sensing optimal diagnosis time period of the harm of hyphantria cunea

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

Active Publication Date: 2019-05-28
FUZHOU UNIV
View PDF6 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method for determining a remote sensing optimal diagnosis time period of the harm of hyphantria cunea
  • A method for determining a remote sensing optimal diagnosis time period of the harm of hyphantria cunea
  • A method for determining a remote sensing optimal diagnosis time period of the harm of hyphantria cunea

Examples

Experimental program
Comparison scheme
Effect test

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] ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a method for determining a remote sensing optimal diagnosis time period of the harm of hyphantria cunea. The method comprises the following steps of (1) determining a diagnosis threshold of the harm of the hyphantria cunea based on measured data and a mutation theory; (2) obtaining a multi-time-point remote sensing image based on the available multi-time-point remote sensing image; and obtaining the remote sensing response characteristics including the leaf area index (LAI), the characteristic spectrum index (CSI), the normalized difference mountain vegetation index (NDMVI), the global vegetation humidity index (GVMI) and the like of bamboo poison moth hazard detection respectively, establishing the time sequence data of all the indexes according to the characteristics, and extracting the bamboo poison moth hazard level; and (3) counting insect pest risk evaluation index values, drawing a curve graph, and respectively determining the optimal monitoring and early warning time period of the insect pests. The method can provide an important basis for remote sensing detection and accurate prevention and control of the hyphantria cunea insect pests.

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06
Inventor 许章华黄旭影胡新宇周紫嫣
Owner FUZHOU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com