Unlock instant, AI-driven research and patent intelligence for your innovation.

Method for extracting forest stand vertical structure parameters on basis of airborne small-facula LiDAR (light detection and ranging) waveform data

A technology of waveform data and vertical structure, which is applied in the re-radiation of electromagnetic waves, the use of optical devices, radio wave measurement systems, etc., can solve the problems of difficult to describe vertical structures and low accuracy of vertical structure of forest stands.

Active Publication Date: 2014-04-09
RES INST OF FOREST RESOURCE INFORMATION TECHN CHINESE ACADEMY OF FORESTRY
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the airborne small-spot LiDAR data can only obtain a few discrete point clouds, it is difficult to get a good description of the vertical structure of the lower forest stand, and the description accuracy of the vertical structure of the forest stand is low.

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 for extracting forest stand vertical structure parameters on basis of airborne small-facula LiDAR (light detection and ranging) waveform data
  • Method for extracting forest stand vertical structure parameters on basis of airborne small-facula LiDAR (light detection and ranging) waveform data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] The present invention provides a method for extracting stand vertical structure parameters from airborne small-spot LiDAR waveform data, the implementation of which is as follows figure 1 As shown, it specifically includes the following operations:

[0015] Step 1. Generate a laser point cloud dataset based on the airborne small-spot LiDAR waveform data;

[0016] For the airborne small-spot LiDAR waveform data obtained during the flight, through peak detection, Gaussian decomposition or deconvolution methods, the files corresponding to each waveform data reflecting the feature points of the ground objects can be extracted. These files reflecting the feature points of the ground objects constitute the laser point cloud dataset.

[0017] Step 2, carry out the filter processing of ground point and vegetation point to described laser point cloud data set, utilize the ground point after filter processing to generate ground elevation model, subtract the elevation in the desc...

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 aims to provide a method for extracting forest stand vertical structure parameters on the basis of airborne small-facula LiDAR (light detection and ranging) waveform data. The method comprises the following steps of: generating a laser spot cloud data set on the basis of the airborne small-facula LiDAR waveform data; performing filtering processing on ground points and plant cover points in the laser spot cloud data set, generating a ground elevation module by using the ground points subjected to the filtering processing, and subtracting a DEM (digital elevation model) value of a corresponding position from the airborne small-facula LiDAR waveform data to obtain the waveform data after elevation normalization; performing waveform synthesis processing of the forest stand scale on the waveform data to generate synthetic waveform data of a forest stand; resolving the synthetic waveform data into a combination of a series of sub-waveforms; and acquiring the forest stand vertical structure parameters according to the combination of the sub-waveforms. According to the method provided by the invention, the depicture of a forest vertical structure is more accurate compared with that by using point cloud data, and the forest stand vertical structure parameters can be determined.

Description

technical field [0001] The invention relates to laser radar data processing and information extraction technology, in particular to a method for extracting stand vertical structure parameters from airborne small-spot LiDAR waveform data. Background technique [0002] LiDAR (Light Detection And Ranging, LiDAR) is an active remote sensing technology that measures the distance between the sensor and the target through the laser pulse emitted by the sensor. It can be applied to forestry research, especially for remote sensing of forest vertical structure and estimation of tree height. [0003] As the stand age increases and the trees grow, the vertical distribution of canopy components changes relative to the state of the young stand. Mature and over-mature natural forests are characterized by many gaps, large changes in age structure and height, and the vertical structure is more complicated than that of the same-age forest, and the canopy material near the top of the tree in ...

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 Patents(China)
IPC IPC(8): G01B11/00G01S17/89
Inventor 庞勇李增元徐光彩朱荣赵旦刘清旺
Owner RES INST OF FOREST RESOURCE INFORMATION TECHN CHINESE ACADEMY OF FORESTRY