Method and system for estimating beta diversity of plant species

A variety and species technology, applied in the estimation and system field of beta diversity of plant species, can solve the problems of unresearched beta diversity, strong location dependence, unstable model accuracy, etc., achieve efficient information processing and save input costs Effect

Active Publication Date: 2020-07-31
MINZU UNIVERSITY OF CHINA
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are still few case studies on hyperspectral estimation of beta diversity. The main reasons are: first, because beta diversity has not been studied enough; second, because beta diversity involves differences in species composition, alpha diversity remote sensing models, etc. have been cannot meet the requirements, and the beta diversity cannot be estimated by remote sensing due to technical bottlenecks; in addition, the existing remote sensing estimation models for other plant species diversity indices have problems such as strong location dependence and unstable model accuracy

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
  • Method and system for estimating beta diversity of plant species
  • Method and system for estimating beta diversity of plant species
  • Method and system for estimating beta diversity of plant species

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] The method for estimating the beta diversity of plant species based on the spectral dissimilarity index provided by the present embodiment comprises the following steps:

[0042] S1. Obtain airborne, spaceborne or low-altitude, near-ground remote sensing data of a certain area to be measured, and perform radiation correction, geometric correction and / or terrain correction on the acquired remote sensing data, and extract vegetation at a wavelength of 400-1000nm The reflectance is used as spectral data; among them, radiation correction, geometric correction and / or terrain correction are conventional image processing methods for remote sensing processing, and the specific processing process will not be repeated here.

[0043] S2. Correct the acquired spectral data, remove outliers and deviations, and ensure that there is no data error; for correct spectral data, the NDVI cutting method can be used for inspection according to the type of ground features, and the vegetation d...

Embodiment 2

[0059] The present embodiment also provides a plant species beta diversity estimation system, the system comprising:

[0060] The remote sensing data acquisition module is used to correct the acquired remote sensing data of the area to be measured, and extract the vegetation reflectance in the set band range as the spectral data to be processed;

[0061] The vegetation data extraction module checks the verified spectral data according to the type of ground objects to ensure that the obtained spectral data is vegetation spectral data;

[0062] A smoothing processing module, used for smoothing the acquired vegetation spectral data;

[0063] The diversity evaluation module is used to calculate the smoothed vegetation spectral data, and obtain the spectral dissimilarity coefficient between sample plots to estimate the beta diversity of plant species.

[0064] The specific processing process of the function of each module in this embodiment is similar to the processing process of ...

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 plant species beta diversity estimation method and system, and the method comprises the following steps: S1, correcting the obtained remote sensing data of a to-be-detectedregion, and extracting the vegetation reflectivity in a set waveband range as to-be-processed spectral data; S2, checking the verified and error-free spectral data according to the ground object type,and ensuring that the obtained spectral data is vegetation spectral data; S3, carrying out smoothing processing on the acquired vegetation spectrum data; S4, calculating the vegetation spectral datasubjected to smoothing processing to obtain a spectral dissimilarity coefficient between the quadrat for estimating the beta diversity of the plant species. According to the method, the beta diversityof the plant species can be rapidly estimated, and the method can be widely applied to rapid evaluation of the beta diversity of the plant species in grassland, grassland, shrubs, farmlands, nurserylands and the like.

Description

technical field [0001] The invention relates to a method and system for estimating beta diversity of plant species based on spectral dissimilarity index, and relates to the technical fields of ecology, natural resource protection and biodiversity monitoring. Background technique [0002] Biodiversity is of great significance to maintaining the stability of the earth's ecosystem and maintaining ecosystem service functions. Global biodiversity is declining due to global climate change, land use change, increased human disturbance, and biological invasions, and further declines are predicted in the future. Rapid assessment of biodiversity is essential for biodiversity monitoring and conservation. In recent years, spectral data have begun to be applied to the rapid assessment of plant species diversity. There are mainly two ways: one is to directly assess the relationship between spectral data characteristic parameters and species diversity, and the other is to indirectly asse...

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): G06K9/00G06K9/36G06K9/44
CPCG06V20/194G06V20/188G06V10/20G06V10/247G06V10/34
Inventor 彭羽
Owner MINZU UNIVERSITY OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap