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

Slope ecological restoration monitoring method

Pending Publication Date: 2021-11-23
ZHEJIANG UNIV +2
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, compared with the wide application and rapid development of engineering technology, the current evaluation research on the effect of slope ecological restoration is still relatively backward, and there are many problems and deficiencies, such as the lack of quantitative index data for evaluation indicators, the lack of modern information technology support for evaluation methods, and the timeliness of evaluation. Lack of continuous tracking and monitoring, lack of mutual feedback between evaluation results and engineering practice, etc.
[0006] The monitoring of vegetation growth status in the process of slope ecological restoration has the following characteristics and difficulties: first, high slopes are steep and have great safety hazards, and it is not suitable to use measures such as artificial climbing for plant surveys; second, compared with ordinary crop monitoring, Slope plants should not only pay attention to parameters such as plant coverage, but also pay attention to the comprehensive restoration of the slope ecosystem, that is, pay attention to the combination of trees, shrubs and grass and the degree of integration with the surrounding environment; third, due to the poor site conditions of the slope, it is necessary to When sowing, the principle of matching pioneer plants and native plants is adopted, and more management and maintenance measures are required after spraying

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
  • Slope ecological restoration monitoring method
  • Slope ecological restoration monitoring method
  • Slope ecological restoration monitoring method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0049] Such as figure 1 As shown, the slope ecological restoration monitoring method proposed by the present invention is based on the image data of close-range photogrammetry, including the following steps:

[0050] Step S1: Slope image data acquisition. Obtaining slope image data from a variety of sources, including manual images, UAV aerial photography, high-definition video surveillance, etc., can monitor the growth dynamics of slope vegetation in a timely, fast, accurate and continuous manner. For high and steep dangerous slopes and high-density plant communities, it greatly reduces the difficulty of vegetation survey. At the same time, multi-source image data can play a role of mutual confirmation and supplement, ensuring the comprehensiveness and accuracy of the original image data.

[0051] Step S2: Preprocessing of images. It refers to the preliminary screening, classification, and proofreading of the acquired multi-source image data, which are divided into various...

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

A slope ecological restoration monitoring method comprises the following steps: S1, slope image data acquisition: acquiring two-dimensional time sequence visible light image data of a slope through an image device; S2, preprocessing the image, primarily screening the image data, and classifying according to the purposes of slope full view overall analysis, slope vegetation detail analysis and slope three-dimensional model reconstruction; and S3, vegetation image data analysis: extracting vegetation horizontal structure parameters through vegetation index inversion of two-dimensional image data, and extracting vegetation vertical structure parameters by reconstructing the three-dimensional model of the two-dimensional image. According to the method, specific and real vegetation evaluation index values can be obtained by using image data, and long-term tracking monitoring is performed on the slope, so that the specific effect and degree of slope ecological restoration can be reflected comprehensively, objectively and quantitatively.

Description

technical field [0001] The invention relates to the technical field of geological disaster prevention and control, in particular to the technical field of slope ecological restoration monitoring. Background technique [0002] Slopes refer to all exposed slopes related to engineering activities, which are divided into natural slopes and artificial slopes. my country is a mountainous country, so large-scale slope excavation will inevitably be involved in the construction of large-scale infrastructure such as roads, railways, reservoirs, mines, water conservancy and hydropower. The huge construction project broke the original force balance and ecological environment landscape of the slope, seriously damaged the soil and vegetation along the line, and formed a large number of exposed slopes. These steep, exposed, and abandoned slopes can easily cause geological disasters such as collapses, landslides, and mudslides, and even threaten human life. [0003] Under the guidance of ...

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
IPC IPC(8): G06K9/00G06K9/62
CPCG06F18/2431
Inventor 徐慧吕庆麻坚廖克武杨雨荷徐礼根
Owner ZHEJIANG 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