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Forest resource monitoring method based on unmanned aerial vehicle aerial survey technology

A technology for forest resources and unmanned aerial vehicles, which is applied in the field of forest resources monitoring based on the aerial survey technology of unmanned aerial vehicles, can solve the problems of easily causing errors, requiring labor for individual trees, and lack of data comparison, so as to improve the accuracy and facilitate the Actual forest resource planning, data correspondence effect with high accuracy

Pending Publication Date: 2021-06-11
扬州哈工科创机器人研究院有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Aiming at the above-mentioned shortcomings existing in the prior art, the present invention provides a forest resource monitoring method based on UAV aerial survey technology, which can effectively overcome the existing existing technologies, and managers of forestry departments need to master these in management. Therefore, it is necessary to monitor forest resources regularly. It takes too long to monitor forest resources, and the data detected by remote sensing technology is not comparable, not accurate enough, and easily causes errors. , at the same time, the data measurement of a single tree needs to be done manually, which is not conducive to the problem of actual measurement

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  • Forest resource monitoring method based on unmanned aerial vehicle aerial survey technology

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Embodiment 1

[0025] A kind of forest resource monitoring method based on unmanned aerial vehicle aerial survey technology of the present embodiment, the concrete monitoring method step is as follows:

[0026] S1: Take two-dimensional image data of all-round landform pictures of forest areas through remote sensing image technology, and obtain preliminary information of forest resources;

[0027] S2: The two-dimensional image data captured by remote sensing image technology is scanned and processed by CSS reading technology, and after processing, the coordinate model with the two-dimensional image data as the background and the center point of the two-dimensional image data as the coordinate origin is obtained, and the horizontal axis of the coordinate model is The distance between the axis and the vertical axis is 0.1km, and the positioning data of each monitoring point is designed on the coordinate model;

[0028] S3: The technicians control the drone's mobile shooting height. The drone us...

Embodiment 2

[0032] A kind of forest resource monitoring method based on unmanned aerial vehicle aerial survey technology of the present embodiment, the concrete monitoring method step is as follows:

[0033] S1: Take two-dimensional image data of all-round landform pictures of forest areas through remote sensing image technology, and obtain preliminary information of forest resources;

[0034] S2: The two-dimensional image data captured by remote sensing image technology is scanned and processed by CSS reading technology, and after processing, the coordinate model with the two-dimensional image data as the background and the center point of the two-dimensional image data as the coordinate origin is obtained, and the horizontal axis of the coordinate model is The distance between the axis and the vertical axis is 0.1km, and the positioning data of each monitoring point is designed on the coordinate model;

[0035] S3: The technician controls the drone’s mobile shooting height. The drone us...

Embodiment 3

[0039]A kind of forest resource monitoring method based on unmanned aerial vehicle aerial survey technology of the present embodiment, the concrete monitoring method step is as follows:

[0040] S1: Take two-dimensional image data of all-round landform pictures of forest areas through remote sensing image technology, and obtain preliminary information of forest resources;

[0041] S2: The two-dimensional image data captured by remote sensing image technology is scanned and processed by CSS reading technology, and after processing, the coordinate model with the two-dimensional image data as the background and the center point of the two-dimensional image data as the coordinate origin is obtained, and the horizontal axis of the coordinate model is The distance between the axis and the vertical axis is 0.1km, and the positioning data of each monitoring point is designed on the coordinate model;

[0042] S3: The technicians control the drone’s mobile shooting height. The drone use...

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Abstract

The invention discloses a forest resource monitoring method based on an unmanned aerial vehicle aerial survey technology. Scanning processing is carried out on two-dimensional image data shot through a remote sensing image technology through a CSS reading technology, so the accurate finding of forest resource data in a forest farm subcompartment is facilitated, the improvement of the subcompartment interpretation result accuracy is benefited, and the interpretation accuracy is increased to 93% or above. According to the invention, forestry resource information is obtained through unmanned aerial vehicle image processing, so that workers can carry out all-directional data comparison and calculation conveniently and can master specific forest resources conveniently; and a point cloud segmentation algorithm is carried out on the monitoring point cloud data, the crown breadth of each tree is accurately segmented from the unmanned aerial vehicle aerial photogrammetry point cloud, so that the single tree information is obtained, the forest farm subcompartment can accurately master the specific growth condition of the single tree and know the condition of the single tree in the whole forest, accurate study and judgment can be made, and actual forest resource planning is facilitated.

Description

technical field [0001] The invention relates to the technical field of forestry monitoring, in particular to a method for monitoring forest resources based on unmanned aerial vehicle aerial survey technology. Background technique [0002] Forest resources are the general term for forest land and the forest organisms it grows on. It is dominated by forest resources, and also includes forest and understory plants, wild animals, soil microorganisms and other natural environmental factors and other resources. Forest land includes arbor forest land, sparse forest land, shrub land, forest open space, logging slashes, fire slashes, nursery lands and land suitable for forests planned by the state. [0003] From 1990 to 2015, the global forest area decreased by 1.935 billion mu, while China's forest area increased by 1.12 billion mu. While forests are growing, the total output value of China's forestry industry has increased from 409 billion yuan in 2001 to 5.94 trillion yuan in 20...

Claims

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Application Information

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IPC IPC(8): G01C11/00G01C11/06G06K9/00G06K9/46
CPCG01C11/00G01C11/06G06V20/188G06V10/44
Inventor 卓然史文彬耿凯吕剑杨轩
Owner 扬州哈工科创机器人研究院有限公司
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