Canopy Closure Extraction Method of Ginkgo Plantation Based on UAV Lidar Data

Abstract

The invention discloses a method for extracting canopy density of ginkgo plantations based on UAV LiDAR data, which includes filtering the laser radar discrete point cloud data, interpolating to generate a digital terrain model, and normalizing the point cloud data; and then respectively based on normalization The characteristic variables were extracted from the point cloud data, combined with the measured canopy density on the ground and the extracted characteristic variables, on the basis of the selected variables, a stepwise regression was performed to build a prediction model to estimate the canopy density in the study area. The present invention acquires UAV lidar point cloud and extracts canopy characteristic variables, combined with ground measured data, can obtain canopy density continuously distributed on a specific range of "surface" with high efficiency and high precision. Comprehensive and in-depth extraction of multiple groups of artificial forest canopy UAV lidar point cloud features, thereby extracting high-quality canopy density of artificial forest stands. Compared with other similar remote sensing methods for stand canopy density inversion, its relative root mean square error is reduced by 1.7%.

Description

technical field [0001] The invention belongs to the fields of forest resource investigation, forest site quality evaluation, forest productivity estimation research, etc., and specifically relates to a method for extracting canopy density of ginkgo plantations based on UAV LiDAR data. Background technique [0002] Accurate extraction of plantation canopy density is of great significance for forest resource survey, forest site quality evaluation and forest productivity estimation. At the same time, this information can also be used to grasp the spatial distribution of forest canopy, and provide data support for sustainable forest management, ecological environment restoration and reconstruction, and maintenance of carbon balance. The traditional extraction of plantation canopy density mainly relies on direct methods and instrumental measurements. These ground measurements are time-consuming, laborious, and inefficient. Some direct methods are often destructive to the forest c...

AI Technical Summary

Problems solved by technology

However, the above methods all use low-density manned-aircraft lidar data and use a single characteristic variable to estimate canopy closure. No high-density UAV lidar point cloud data is applied to canopy closure inversion. At the same time, there is no See the method for comprehensive and in-depth calculation of UAV lidar point cloud features and canopy closure extraction

Images