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Method for obtaining snow coverage degree and vegetation re-greening degree based on image analysis

A snow-covered, image analysis technology, applied in the field of image processing, can solve the problems of single information and inability to obtain other information in the target area.

Inactive Publication Date: 2018-12-04
JILIN CITY ACADEMY OF FORESTRY
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  • Claims
  • Application Information

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Problems solved by technology

At present, there are snow depth observation instruments to judge whether there is snow in the observation area. The basic principle is to use laser single-point ranging to measure the snow depth. The main sensor is the laser ranging unit, but the snow depth observation instrument can only obtain snow. Deep information, other information in the target area cannot be obtained, and the obtained information is single

Method used

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  • Method for obtaining snow coverage degree and vegetation re-greening degree based on image analysis

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Embodiment Construction

[0018] Set up an observation station at the location of the target area, and set up a high-definition camera in the observation station. Regularly collect samples in the target area. Through the analysis of the sample data, the topographic changes, snow cover degree and vegetation greenness of the sample area can be obtained, so as to realize the technical personnel Remote monitoring of the target area does not need to be stationed for a long time.

[0019] The embodiments are described in detail below in conjunction with the drawings.

[0020] Such as figure 1 The flow chart of the method of the present invention shown:

[0021] In step S1, the ground image of the target area exposed after the vegetation is withered is obtained, and the three-dimensional modeling of the bare ground surface contour is realized;

[0022] The image acquisition method can be carried out in the following manner: Obtain the ground RGBD data of the target area based on a certain height, the data includes RG...

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Abstract

The invention belongs to the field of image processing and in particular relates to a method for obtaining snow coverage degree and vegetation re-greening degree based on image analysis. The method comprises obtaining the ground image of a bare target area after the vegetation is withered, and realizing the three-dimensional modeling of a bare surface profile; obtaining the ground image of the target area covered with snow, and realizing the three-dimensional modeling of the snow surface profile; determines a difference between the three-dimensional model of the snow surface profile and the three-dimensional model of the bare surface profile to measure the snow coverage degree of the ground; analyzing the color the ground image of the target area covered with snow, and obtaining the proportion of a green area as a vegetation re-greening degree index of the target area. The method directly photographs the target area to be analyzed at close range, can acquire the detailed features of the target area, is not affected by a cloud layer, and can analyze the snow coverage degree and the vegetation re-greening degree of the target area based on the detailed texture features of the targetarea.

Description

Technical field [0001] The invention belongs to the field of image processing, and particularly relates to a method for obtaining the degree of snow cover and the degree of vegetation turning green during the forest fire prevention period based on image analysis. Background technique [0002] The degree of snow cover of forest and the degree of vegetation rejuvenation are indispensable elements of forest fire risk, which directly affect and determine the level of forest fire risk. Currently, forest fire insurance monitoring equipment cannot directly monitor digitally and quantitatively. During the operation of forest fire risk monitoring, designated personnel are required to assist in updating and adjusting the degree of forest snow cover and the degree of vegetation restoration, which is cumbersome and time-consuming, and does not truly realize the automation and scientificization of forest fire risk monitoring. [0003] At present, most domestic and foreign snow monitoring is ba...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46
CPCG06V20/38G06V10/56
Inventor 章林赵凤君周勇王晓娜张大明章森
Owner JILIN CITY ACADEMY OF FORESTRY
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