Method for automatically extracting tree height of standing forest having high canopy density based on TLS and UAV

Abstract

The invention discloses a method for automatically extracting the tree height of a standing forest having high canopy density based on TLS and UAV. By utilization of UAV photographic measurement pointcloud data and ground precise point cloud data, the highest point and the lowest point of an individual tree are extracted; according to an individual tree positioning coordinate and automatic identification highest point information, the judged highest point and a positioning point are projected in a xoy plane; the identification accuracy is judged; and thus, a tree height value is rapidly extracted. The cost is reduced; the efficiency is increased; furthermore, on the premise that the tree height extraction precision is increased, partial manual survey is replaced; a lot of manpower and material resource consumption can be reduced; a test result shows that: the tree height extraction method provided by the invention has relatively high precision for tree height estimation of an artificial metasequoia forest; the tree height extraction value whole is closer to the actual measured value; and furthermore, the method in the invention also makes effective recommendations for forest resource assessment and business planning of small and medium-sized farms.

Description

technical field [0001] The invention belongs to the technical field of dynamic monitoring of forest resources, and in particular relates to a method for automatically extracting the tree heights of high-canopy closed forests based on ground-based laser radar and aerial photography of unmanned aerial vehicles. Background technique [0002] With the development of the market economy, most small and medium-sized forest farms have many technical problems in the accurate and quantitative evaluation of the value of forest assets. They cannot transfer or develop joint ventures with exact asset values, and cannot generate corresponding benefits, nor can they achieve asset value preservation. value-added goals. For the sustainable management of forest resources, tree height is an important parameter to reflect the volume and site quality, and it is also necessary information for quantitatively estimating forest stock volume, aboveground biomass, and even forest resource asset assessm...

AI Technical Summary

Problems solved by technology

[0005] Purpose of the invention: In view of the deficiencies in the prior art, to solve the problem of low extraction accuracy of high-canopy closed forest tree heights through a single ground or aerial remote sensing measurement, the purpose of the invention is to provide a ground-based laser radar and unmanned A method for automatically extracting tree heights in high-canopy closed forests by machine photogrammetry, which is used to extract tree heights with high efficiency and high precision without individual tree segmentation, reducing manual measurement on the ground and reducing costs

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