Method for inverting forest structure parameters of artificial forest based on unmanned aerial vehicle laser radar

A technology of laser radar and structural parameters, which is applied in the direction of radio wave measurement systems, instruments, etc., can solve the problem of low density of point cloud data, and achieve the effect of reduced relative root mean square error, high estimation ability and precision

Inactive Publication Date: 2018-12-21
NANJING FORESTRY UNIV
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However, the above methods are all based on the extraction of forest structure parameters from LiDAR data of the man-machine platform, the density of point cloud data is very low, and only a set of characteristic variables are used to extract forest structure parameters. Parametric method for extracting forest structure parameters of plantation stands

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  • Method for inverting forest structure parameters of artificial forest based on unmanned aerial vehicle laser radar
  • Method for inverting forest structure parameters of artificial forest based on unmanned aerial vehicle laser radar
  • Method for inverting forest structure parameters of artificial forest based on unmanned aerial vehicle laser radar

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Embodiment 1

[0036] The implementation site of this embodiment is located in Tiefu Town, Pizhou City, northern region of Jiangsu Province. Belonging to the semi-humid temperate monsoon climate, the annual rainfall is about 903mm, the maximum rainfall is concentrated in the rainy season in July and August, the annual average temperature is about 13.9 ℃, the frost-free period is 211 days, the main soil type is black clay soil, which is acidic. Large-scale cultivation of ginkgo began in 1993, with a total area of ​​about 5400hm 2 .

[0037] The method for inverting structural parameters of a plantation forest based on UAV lidar in this embodiment includes the following steps:

[0038](1) Data acquisition: Lidar data acquisition is carried out with the help of the lidar sensor mounted on the multi-rotor UAV. According to the survey data of historical forest resources and the satellite remote sensing image data obtained in the previous period, 5 large square plots of 1×1 km were selected in t...

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Abstract

The invention discloses a method for inverting forest structure parameters of an artificial forest based on an unmanned aerial vehicle laser radar, and belongs to the fields of forest resource investigation, forest productivity estimation and biological diversity research. According to the method, discrete point cloud data of the unmanned aerial vehicle laser radar is subjected to normalization processing; canopy layer characteristic variables of the artificial forest are extracted from the normalized point cloud data; a non-parameter k-NN model is built on the basis of the extracted canopy layer characteristic variables of the artificial forest and actual measurement data of the ground; and model parameters are debugged so as to invert the forest structure parameters of forest stands. A high-density LiDAR point cloud is obtained on the basis of an unmanned aerial vehicle platform; unmanned aerial vehicle laser radar point cloud characteristics of multiple groups of artificial forest canopy layers are comprehensively and deeply extracted; and a k-NN algorithm in a non-parametric method is adopted to invert the forest structure parameters of the forest stands, so that the estimationcapability and precision are improved.

Description

technical field [0001] The invention belongs to the fields of forest resource investigation, forest productivity estimation and biological diversity research, and more particularly relates to a method for inverting plantation forest structure parameters based on UAV laser radar. Background technique [0002] Accurate extraction of plantation forest structure parameters is of great significance for forest resource investigation, forest productivity estimation and biodiversity research. Provide data support and practical guidance for sustainable production and operation, improving forest carbon sink level and maintaining regional ecological balance. Conventional plantation forest structure parameter extraction mainly relies on ground survey methods, which are time-consuming and labor-intensive, and can only obtain data on "points", with low precision and unsuitable for promotion in large areas. LiDAR (LiDAR) technology is an active remote sensing technology that transmits las...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/48
CPCG01S7/4802
Inventor 曹林刘坤云挺孙圆汪贵斌
Owner NANJING FORESTRY UNIV
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