Secondary forest structure parameter inversion method based on unmanned aerial vehicle stereo photogrammetry point cloud

A technology of stereo photography and structural parameters, which is used in radio wave measurement systems, measurement devices, and re-radiation of electromagnetic waves to achieve the effects of improving overall accuracy, reducing costs, and being easy to transplant.

Active Publication Date: 2019-12-10
NANJING FORESTRY UNIV
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However, none of the above methods use high-precision digital terrain models to normalize point cloud data, and at

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  • Secondary forest structure parameter inversion method based on unmanned aerial vehicle stereo photogrammetry point cloud
  • Secondary forest structure parameter inversion method based on unmanned aerial vehicle stereo photogrammetry point cloud

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Embodiment 1

[0029] The experimental area is located in Niu Mountain, the remaining vein of Zijin Mountain, Nanjing City, Jiangsu Province. The geographical coordinate range is 118.81°E-118.82°E, 32.08°N-32.09°N, with a total area of ​​about 14hm 2 , the elevation is 16-40m. The area has a north subtropical humid climate, with an average rainfall of 1106.5 mm, a relative humidity of 76%, and a frost-free period of 237 days. The soil types in the study area are mostly yellow-brown soil and limestone soil, and most of the trees are over-mature forests with stable stand structure and a long period of forest formation, and the current annual growth rate is low. The main forest is subtropical evergreen and deciduous mixed forest, the main tree species are broad-leaved trees such as Zelkova serrata, Broussonetia papyrifera, Ligustrum lucidum, Pteroceltis tatarinowii, and a small amount of cedar (Cedrus deodara ), juniper (Juniperuts chinensis), cedar (Cryptomeria japonicavar.sinensis) and other...

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Abstract

The invention discloses a secondary forest structure parameter inversion method based on unmanned aerial vehicle stereo photogrammetry point cloud, and belongs to the fields of forest resource monitoring, ecological factor investigation, biodiversity research and the like. The method comprises the following steps: acquiring image data of a secondary forest by virtue of an unmanned aerial vehicle,and performing image matching and image splicing on the image data to obtain sparse point cloud; encrypting the sparse point cloud to obtain an encrypted point cloud; normalizing the encrypted point cloud by means of a digital terrain model obtained by a laser radar carried by the unmanned aerial vehicle, and obtaining normalized photogrammetric point cloud data; extracting point cloud characteristic variables from the normalized photogrammetric point cloud data; optimally selecting point cloud characteristic variables, establishing a multiple regression model by means of ground measured datato invert forest stand characteristics, and achieving high-quality inversion of forest structure parameters.

Description

technical field [0001] The invention belongs to the fields of forest resource monitoring, ecological factor investigation and biodiversity research, and more specifically relates to a method for inversion of secondary forest structure parameters based on unmanned aerial vehicle stereoscopic photogrammetry point cloud. Background technique [0002] Real-time, quantitative and accurate monitoring of forest structure parameters is of great significance for forest resource monitoring, ecological factor investigation and biodiversity research. At the same time, this information can also be used to grasp the distribution and dynamic changes of forest tree species resources, and provide data support for forest management, ecological environment protection and climate change mitigation. The traditional investigation method of forest structure parameters mainly relies on the investigation of forest structure information such as tree height and diameter at breast height on the ground,...

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Application Information

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IPC IPC(8): G01S17/89
CPCG01S17/89Y02T10/40
Inventor 曹林杨康刘浩
Owner NANJING FORESTRY UNIV
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