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Estimation method for high-canopy-density forest stand volume based on photographic image pair of unmanned aerial vehicle

A technology of forest stock volume and image pairing, which is applied in the field of estimation of high canopy density forest stock volume based on unmanned aerial vehicle photography images, can solve the problems of time-consuming and laborious, poor accuracy of forest survey factors, etc., and achieve optimal operation way effect

Inactive Publication Date: 2016-01-13
翼航东升东莞航空实业集团有限公司
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Problems solved by technology

[0004] In order to solve the problems of poor precision, time-consuming and labor-intensive acquisition of forest stand survey factors by UAV aerial photogrammetry in high canopy density forest areas, the purpose of this invention is to overcome the influence of multiple factors such as canopy density, topography and stand structure. , so that UAV aerial photogrammetry technology is widely used in forestry survey

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Embodiment Construction

[0018] The method for estimating the stock volume of high canopy density forests based on UAV photography images is as follows:

[0019] 1) Aerial photography image pair preprocessing. Select an area of ​​100*100 square meters or 1 hectare as the research object, and subdivide it equally into 10*10 square meters of sample plots, a total of 100 plots.

[0020] 2) Aerial photography image pair interpretation. Interpret and interpret the refined sample plots using computer vision technology and image recognition technology with the help of computer software: ① Extract the digital surface model DSM i , according to the digital terrain model DTM i , to get the average stand height H of the plot i =H DSMi -H DTMi , according to the formula: The average stand height of the entire study area was obtained; ②The calculation of canopy density in this study adopts the threshold mask method combined with the classical formula, that is, the projected area of ​​the canopy and the tota...

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Abstract

The invention discloses an estimation method for a high-canopy-density forest stand volume based on a photographic image pair of an unmanned aerial vehicle. According to the invention, a small lithium-battery unmanned aerial vehicle is used as a flight control platform and carries an ordinary non-metric fixed-focus digital camera, so a photogrammetric measurement system is composed. According to different textural feature information of tree crowns, aerial photographs are automatically judged, read, analyzed and interpreted by combined usage of a computer vision technology and an image recognition technology; therefore, stand description factors like average tree height h, average diameter D, tree density N, canopy degree K1, mingling degree K2, age class A and locality class S are obtained, and the forest stand volume M is calculated via a model.

Description

1. Technical field [0001] The invention relates to a method for measuring forest stock volume by aerial photogrammetry, in particular to a method for estimating forest stock volume with high canopy density based on unmanned aerial vehicle photographic images. 2. Technical background [0002] So far, the research on the application of UAV aerial photogrammetry technology in forestry is still in its infancy. There are still many problems to be overcome, such as: single tree height extraction, which is greatly affected by terrain fluctuations and has large errors; single tree crown width extraction, which is greatly affected by stand structure, especially high canopy It is difficult to accurately judge the size of the canopy in high-density stands; there is no model with high accuracy for the estimation of stand volume, and many other problems. [0003] Therefore, research on the application of UAV aerial photogrammetry technology in forest resources investigation still needs ...

Claims

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Application Information

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IPC IPC(8): G01C11/00G01C11/04
CPCG01C11/00G01C11/04
Inventor 冯仲科解明星邱梓轩
Owner 翼航东升东莞航空实业集团有限公司
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