A method and system for calculating vegetation canopy coverage based on color digital images
A digital image and vegetation canopy technology, applied in computing, image analysis, image enhancement, etc., can solve problems such as high requirements for prior knowledge, inconvenient use and carrying, and time-consuming and laborious drawing of photos, and achieve self-adaptiveness Strong, save manpower, avoid the effects of environmental factors and human factors
Active Publication Date: 2018-11-06
HUAZHONG AGRI UNIV
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Problems solved by technology
[0006] (1) The selection of sample quadrats has high requirements for prior knowledge, the subjectivity of human eye estimation is high, and the drawing of photos is time-consuming and laborious;
[0007] (2) The sampling instrument is inconvenient to use and carry in the field;
[0008] (3) Statistical models have strong specificity when looking for a suitable index, and the scope of application is not wide;
[0009] (4) The inversion method of using remote sensing to establish a relational model has limited accuracy and limited inversion scope
Method used
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[0080] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.
[0081] Such as figure 1 As shown, a method for calculating vegetation canopy coverage based on color digital images comprises the following steps:
[0082] Step 1, vertical shooting to obtain a color digital image of the area to be calculated; the vertical shooting is to shoot vertically upward from the ground, and the shooting area is selected when the sky is cloudless.
[0083] Step 2, calculating the green feature index of each pixel of the color digital image.
[0084] The specific implementation of the step 2 is to calculate the green feature index of each pixel according to the following first formula;
[0085] The first formula is as follows:
[0086] EG=2G-R-B
[0087] Wherein, the EG is the green featur...
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The invention relates to a vegetation canopy coverage calculation method and system based on a colorful digital image. The method comprises that the colorful digital image of an area to be calculated is shot vertically; the green characteristic index of each pixel of the colorful digital image is calculated; a Sobel operation is called to calculate a gradient value of each pixel according to the green characteristic index of the pixel, and the green characteristic index of the pixel corresponding to the maximal gradient value serves as a threshold; and the green characteristic index of each pixel is compared with the threshold, the pixels whose green characteristic index is greater than or equivalent to the threshold are attributed to vegetation pixels, the pixels whose green characteristic index lower than the threshold are attributed to non-vegetation pixels, and the vegetation canopy coverage of the area to be calculated is calculated according to the vegetation pixels and the non-vegetation pixels. According to the invention, the vegetation canopy coverage is calculated in high precision, labor force is saved, and the self-adaptability is high.
Description
technical field [0001] The invention relates to the technical field of calculating vegetation canopy coverage, in particular to a method and system for calculating vegetation canopy coverage based on color digital images. Background technique [0002] Vegetation canopy coverage is a very important index used to evaluate the surface vegetation status, and it is also the main influencing factor of soil erosion and soil erosion. Studies have shown that vegetation coverage is closely related to climate factors. The impact of vegetation cover changes on climate is one of the main contents of current climate change research, which affects soil moisture, surface temperature, and surface energy and water cycles. Vegetation canopy coverage is a comprehensive quantitative index of plant community coverage on the surface. It is an effective assessment index for important climate, hydro-ecological parameters, land degradation, salinization and desertification. At the same time, it is...
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IPC IPC(8): G06T7/136G06T7/90
CPCG06T2207/10024G06T2207/30188
Inventor 金时超佃袁勇王鹏程滕明君彭隆赞孟凡凡
Owner HUAZHONG AGRI UNIV