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

Vegetation spatial distribution pattern investigation method and vegetation classification method based on unmanned aerial vehicle technology

A technology of spatial distribution and spatial pattern, applied in the field of vegetation research, to achieve comprehensive and specific pattern analysis results and save manpower and material resources

Pending Publication Date: 2020-07-24
PEKING UNIV SHENZHEN GRADUATE SCHOOL
View PDF2 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the problem of using field manual sampling method in traditional technology, the present invention proposes a survey method of vegetation spatial distribution pattern based on UAV technology, which is realized through the following scheme

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
  • Vegetation spatial distribution pattern investigation method and vegetation classification method based on unmanned aerial vehicle technology
  • Vegetation spatial distribution pattern investigation method and vegetation classification method based on unmanned aerial vehicle technology
  • Vegetation spatial distribution pattern investigation method and vegetation classification method based on unmanned aerial vehicle technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0020] In order to explain the investigation method of the present invention more clearly, it will be described in detail in conjunction with the following case. In this case, a desert area in northern China is selected as the research area. This paper expounds the idea of ​​using UAV remote sensing technology to investigate the new method of vegetation spatial distribution pattern in the study area, as well as the specific processing and analysis process.

[...

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 discloses a vegetation spatial distribution pattern investigation method based on an unmanned aerial vehicle technology. The method comprises the following steps: S1, obtaining an orthographic spliced image of a research area; S2, performing supervised classification and result verification on the orthographic spliced image in S1; S3, making a species classification extraction distribution diagram; and S4, performing spatial distribution pattern analysis on the species. The method has the beneficial effects that vegetation species classification is carried out on the orthographicspliced images by utilizing a supervised classification method, so that specific ecological statistical analysis is carried out on individuals of each species; manpower and material resources are saved, meanwhile, a pattern analysis quadrat can be expanded by tens of times, and a spatial pattern analysis conclusion can be obtained more comprehensively and accurately; multi-angle spatial distribution pattern analysis can be more conveniently carried out on the species classification extraction distribution diagram, such as a sample method, a point pattern analysis method and the like, so thatpattern analysis results are more comprehensive and specific.

Description

technical field [0001] The invention relates to a vegetation research method, in particular to a method for investigating a vegetation spatial distribution pattern and a vegetation classification method based on unmanned aerial vehicle technology. Background technique [0002] The spatial distribution pattern of vegetation is an important structural feature of vegetation populations. It can not only reflect the ecological distribution of different individuals and the dynamics of the population, but also reflect the relationship between the population and the environment to a large extent, and then study its relationship in the community. role and status. Studying the distribution pattern and characteristics of vegetation is of great significance for quantitatively describing the structure of populations, revealing the causes of distribution patterns, explaining the dynamic changes of populations and communities, and exploring the factors of population reproduction and succes...

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): G06K9/00G06K9/62G06T3/40
CPCG06T3/4038G06V20/188G06F18/24
Inventor 邱国玉郝梦宇毛鹏秦龙君赵文利熊博文罗婕纯一丁俊杰
Owner PEKING UNIV SHENZHEN GRADUATE SCHOOL
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