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A method for automatically extracting tree heights in high-canopy closed forests based on tls and uav

A technology of canopy closure and tree division, which is applied in photo interpretation, height/level measurement, electromagnetic wave re-radiation, etc. It can solve the problems of low extraction accuracy of high canopy and closed forests, reduce the consumption of manpower and material resources, improve the Efficiency, convenient data acquisition effect

Active Publication Date: 2022-01-07
NANJING FORESTRY UNIV
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  • Claims
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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

Method used

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  • A method for automatically extracting tree heights in high-canopy closed forests based on tls and uav
  • A method for automatically extracting tree heights in high-canopy closed forests based on tls and uav
  • A method for automatically extracting tree heights in high-canopy closed forests based on tls and uav

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Embodiment Construction

[0041] Below in conjunction with specific examples, further illustrate the present invention, the examples are implemented under the premise of the technical solutions of the present invention, it should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0042] The sample plot of this example is located in the east gate area of ​​Nanjing Forestry University, Nanjing. Nanjing City is located in the middle and lower reaches of the Yangtze River, in the southwest of Jiangsu Province, China (31°14′~32°37′N, 118°22′~119°14′E). Nanjing has a forest coverage rate of 26.4%, and belongs to the north subtropical humid climate, with an annual average temperature of 15.4°C and an annual average rainfall of 1106mm. The tree species studied in the sample plot is Metasequoiagly ptostrodoides, which belongs to the gymnosperm Cypressaceae with a straight trunk.

[0043] Specific steps are as f...

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Abstract

The invention discloses a method based on TLS and UAV to automatically extract the height of trees in high canopy forests. UAV photogrammetry point cloud data and ground precise point cloud data are used to extract the highest point and lowest point of a single tree. Positioning coordinates and automatically identifying the highest point information, projecting the identification of the highest point and the positioning point on the xoy plane, judging the recognition accuracy, and quickly extracting the tree height value. It saves cost, improves efficiency, and replaces some manual investigations on the basis of improving the extraction accuracy of tree height, reducing a lot of manpower and material resources consumption. Test result shows, by the tree height extraction method that the present invention proposes, to the tree height estimation of metasequoia plantation, has obtained higher precision, and the tree height extraction value overall is closer to the actual value of actual measurement; Provide effective advice on resource assessment and business planning.

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...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S17/86G01S17/89G01S7/48G01C11/06G01C5/00G06T17/00
CPCG01S17/89G01S7/4802G01C11/06G01C5/00G06T17/00G01S17/86
Inventor 田佳榕徐雁南代婷婷
Owner NANJING FORESTRY UNIV
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