Vegetation aggregation degree index estimation method based on ground-based laser radar point cloud

Abstract

The invention belongs to the technical field of laser radar remote sensing data processing, and particularly relates to a vegetation aggregation index estimation method based on ground-based laser radar point cloud. According to the method, after the point cloud data of the foundation laser radar are preprocessed, the point cloud data are projected to the hemispherical surface after being converted into a coordinate system for calculating the clearance rate, and in the process, the vertical direction information of the three-dimensional point cloud is expressed in a calculation result after hemispherical projection through laser point area reconstruction; laser points with different projection radiuses are introduced to endow different areas, so that three-dimensional elevation information is not ignored and is converted into two-dimensional available information, and the defect that third-dimensional information cannot be effectively used in a traditional method is effectively overcome; and finally, counting clearance rate values according to regions, and calculating by using a finite length average method to obtain an aggregation degree index result of each region. According to the method, vertical structure information of vegetation can be fully considered when the aggregation degree index is estimated, and the problem that a traditional method is not high in precision is solved.

Description

technical field [0001] The invention belongs to the technical field of laser radar remote sensing data processing, and in particular relates to a vegetation aggregation index estimation method based on ground-based laser radar point clouds. Background technique [0002] Forest is an important factor affecting the earth's ecological changes. As the main body of the terrestrial ecosystem, it is the ecosystem with the largest area, the widest distribution, the most complex composition and the richest material resources on land, and the most complete resource bank in nature. , exchanges carbon, water and energy with the atmosphere, and plays an important role in the regulation of water cycle, carbon cycle and climate (Luo Shezhou et al., 2012). Today, with the rapid development of human society, global environmental problems such as climate warming, biodiversity decline, and weakening of ecosystem functions are threatening the sustainable development of the earth. Therefore, ac...

AI Technical Summary

Problems solved by technology

[0007] In view of the above-mentioned problems or deficiencies, in order to solve the problem of poor accuracy of the final result caused by the feature selection and insufficient data utilization of the existing vegetation aggregation index estimation method, the present invention provides a vegetation aggregation index based on ground-based lidar point cloud Estimation method, the original point cloud data is converted into spherical coordinates and projected onto the hemispherical surface, the data is divided into different regions according to a certain zenith angle and azimuth angle interval, and different distances are given to them according to the different distances between the laser point and the hemispherical surface. The projected area of ​​the projected area, the sum of the laser point areas in different areas is counted to obtain the gap rate data, and finally the gap rate is calculated by the finite length average method to obtain the aggregation index

Images