A Method of Extracting Vegetation Canopy Concentration Index from 3D Laser Point Cloud
A 3D point cloud and 3D laser technology, applied in the direction of optical devices, instruments, measuring devices, etc., can solve the problems of light conditions, inconvenient data acquisition for scale selection, etc., and achieve no side effects of vegetation, reduce the amount of calculation, and facilitate data collection. Effect
Active Publication Date: 2018-10-16
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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[0006] In view of the above existing problems or deficiencies, in order to solve the problems of light conditions, scale selection, and data acquisition inconvenience, the present invention provides a method for extracting vegetation canopy aggregation index from three-dimensional laser point cloud
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[0034] Below by example and in conjunction with accompanying drawing the present invention will be further described:
[0035] Step 1, taking the magnolia tree sample quadrat as the research object (area 10m*10m, average tree height about 7m), using the ground three-dimensional laser scanner Leica ScanStation C10 (its parameters are shown in Table 1) at the center of the sample plot and individual Multi-station scanning is performed on the side, the height of the scanner from the ground is 1 meter, and the scanning resolution is high resolution. After data registration, the ground point cloud and other noise point clouds were manually removed to obtain the canopy 3D point cloud data of the magnolia tree quadrat, as shown in the attached figure 2 Show.
[0036] Table 1 Parameters of 3D laser scanner Leica ScanStation C10
[0037]
[0038]
[0039] Step 2. After obtaining the canopy 3D point cloud data of the magnolia tree quadrat and preprocessing, use the voxel method...
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The invention belongs to the technical field of laser radar remote sensing, and specifically relates to a method for extracting a vegetation canopy concentration index from a three-dimensional laser point cloud. The present invention uses remote sensing technology to obtain 3D point cloud data of the vegetation quadrat canopy, and establishes a method for extracting vegetation canopy based on high-resolution laser point cloud data on the ground through processes such as constructing a 3D voxel model, converting the coordinate system, and calculating the canopy gap rate. Aggregation index method for layers. This method can quickly and accurately extract the vegetation canopy aggregation index, the data collection is simple, and it is not affected by the light conditions at the time of observation, and the pixel scale of satellite remote sensing data or products does not need to be considered in the research. And it will not cause any adverse effects on the vegetation structure and radiation characteristics, and it can also permanently record the three-dimensional structural characteristics of the vegetation sample plot. The invention is simple and efficient, has no side effects on vegetation, and greatly reduces the amount of calculation compared with the prior art.
Description
technical field [0001] The invention belongs to the technical field of laser radar remote sensing, and relates to a method for evaluating forest canopy aggregation using point cloud data acquired by a ground three-dimensional laser scanner, specifically a method for extracting vegetation canopy aggregation index from three-dimensional laser point clouds . Background technique [0002] Vegetation canopy is the most direct and active interface layer where vegetation interacts with the external environment, and it has an important impact on ecosystem material, energy exchange, biodiversity, and climate change. Canopy structure is an important aspect of canopy research, and an accurate description of vegetation canopy structure is an important basis for understanding the pattern, process and operating mechanism of vegetation ecosystems. In fact, the canopy structure of vegetation is not randomly distributed, and the canopy leaves of vegetation will be aggregated to varying degr...
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IPC IPC(8): G01B11/28G01B5/00
CPCG01B5/0035G01B11/28
Inventor 李世华梁祖琴
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA