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A Forest Stand Feature Retrieval Method Based on UAV Multispectral High Overlap Images

A forest stand feature and multi-spectral technology, applied in the direction of color/spectral characteristic measurement, material analysis through optical means, material analysis, etc., can solve the problems of weak inversion ability and low inversion accuracy, and achieve enhanced ability and accuracy , low flight cost, beneficial to the effect of mechanism explanation

Active Publication Date: 2019-11-05
NANJING FORESTRY UNIV
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Problems solved by technology

[0004] Purpose of the invention: Aiming at the problems of weak inversion ability and low inversion accuracy in the methods in the prior art, the purpose of the invention is to provide a forest stand feature inversion method based on UAV multi-spectral high-overlap images

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  • A Forest Stand Feature Retrieval Method Based on UAV Multispectral High Overlap Images
  • A Forest Stand Feature Retrieval Method Based on UAV Multispectral High Overlap Images
  • A Forest Stand Feature Retrieval Method Based on UAV Multispectral High Overlap Images

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Embodiment 1

[0041] The research area is located in Tiefu Town, Pizhou City, northern Jiangsu Province. Its geographic location is 34°33′49″~34°34′23″N and 118°05′1″~118°06′06″E, belonging to semi-humid Temperate monsoon climate; the annual rainfall is about 903mm, and the maximum rainfall is concentrated in the rainy season in July and August; the annual average temperature is about 13.9°C, and the frost-free period is 211 days; the main soil type is black clay soil, which is acidic; large-scale ginkgo in this area Planting began in 1993, with a total area of ​​about 5400hm 2 .

[0042] A forest stand feature inversion method based on UAV multi-spectral high-overlap images, including the following steps:

[0043] (1) Generate multispectral images (blue band, green band, red band, near-infrared, red edge) and point clouds with accurate relative coordinates by using the 3D reconstruction algorithm of high-overlapping aerial photos collected by fixed-wing UAVs, and Geometry corrections are...

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Abstract

The invention discloses a forest stand feature inversion method based on a UAV multi-spectral high overlap image. The method comprises the steps of acquiring a highly overlap image by using a UAV-mounted multi-spectral sensor, and acquiring spectral data by using band combination and vegetation index transform; generating digital point cloud data by using an aerial triangulation algorithm and a point cloud dense matching algorithm; extracting a characteristic variable of a canopy structure of a to-be-tested forest according to normalized point cloud data and spectral data; and finally creatinga multiple regression model by combining stand data of measured to-be-tested forest on the ground and the extracted characteristic variable of the canopy structure of the to-be-tested forest, and inversing the stand characteristic of the to-be-tested forest. The method can help improve inversion accuracy of the stand characteristic of the forest, can acquire a space structure and a dynamic changerule of the to-be-tested forest, and is significant for sustainable production and operating of the forest, ecological environment modeling and maintenance of regional ecological balance.

Description

technical field [0001] The invention belongs to the technical field of forest resources management and protection, and in particular relates to a forest stand feature inversion method based on multi-spectral high-overlap images of unmanned aerial vehicles. Background technique [0002] Accurate forest stand feature extraction is of great significance for forest resource investigation, productivity estimation and biodiversity research. At the same time, this information can be used to grasp the forest spatial structure and dynamic change law, which is very important for sustainable forest production and management and ecological environment construction. Provide data support for modeling and maintaining regional ecological balance. Conventional forest stand feature extraction mainly relies on ground survey methods, which is time-consuming and labor-intensive, and can only obtain data on "points", with low accuracy and difficult to promote in large areas. [0003] In recent y...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/48G01S17/89G01N21/25
CPCG01N21/25G01N2021/1793G01S7/4802G01S17/89
Inventor 曹林徐仲云挺申鑫汪贵斌
Owner NANJING FORESTRY UNIV
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