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A calculation method of vegetation index against atmospheric aerosols

An atmospheric aerosol and vegetation index technology, which is applied to measuring devices, material analysis through optical means, instruments, etc., can solve the problem of model errors that cannot be corrected for images to be corrected, and achieve the effect of avoiding model errors

Active Publication Date: 2018-01-02
BEIJING NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to provide a calculation method for anti-atmospheric aerosol vegetation index, to solve the model error caused by the need to obtain and input complex atmospheric profile parameters, parameter spatial distribution heterogeneity and the absence of dark pixels in the image to be corrected Technical issues preventing atmospheric correction

Method used

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  • A calculation method of vegetation index against atmospheric aerosols
  • A calculation method of vegetation index against atmospheric aerosols
  • A calculation method of vegetation index against atmospheric aerosols

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] Such as figure 1 Shown, anti-atmospheric aerosol vegetation index calculation method of the present invention, comprises the following steps;

[0040] Step 1: Preprocess the satellite image to obtain the apparent reflectance;

[0041] Step 2: Atmospheric correction of satellite images;

[0042] Step 3: Remove cloud pixels in satellite images;

[0043]Step 4: Set the size of the satellite image sampling area; and divide the satellite image according to the size of the sampling area; the sampling area is set according to the homogeneous intensity;

[0044] Step 5: Traversing the sampling area, and judging whether the traversal is complete;

[0045] If the traversal is not completed, then execute step 501;

[0046] If the traversal is complete, then execute step 502;

[0047] Step 501: traverse and calculate the slope value of the line between each neighborhood pixel and the apparent reflectance of the central pixel in the sampling area; and judge whether the traverse...

Embodiment 2

[0065] The following is a verification of the invention using simulated data.

[0066] Such as figure 2 , which is a comparison chart of the NDVI obtained by correcting the satellite image and the apparent NDVI with the change of the aerosol concentration by using the method of the present invention. The specific experimental parameters used are as follows: Using the Landsat8 real surface reflectance product provided by ESPA at 11 am on August 19, 2014 in Tianjin, China, using the 6S atmospheric correction model surface real reflectance image at AOD=0.05, AOD=0.3, AOD =0.5 and the corresponding apparent reflectance in the case of AOD=1.0.

[0067] pass figure 2 It can be seen that the aerosol has a great influence on the apparent reflectance, so the apparent NDVI cannot truly reflect the vegetation coverage on the surface. The invention well eliminates the influence of the aerosol on the NDVI, and realizes the effect of quickly evaluating the vegetation coverage change on...

Embodiment 3

[0069] Table 1

[0070]

[0071] Form 2

[0072]

[0073] As shown in Table 1 and Table 2, Table 1 is the accuracy verification result of aerosol correction using the method of the present invention in Yichun and Suihua areas, and Table 2 is the accuracy verification result of aerosol correction using the method of the present invention in Beijing area.

[0074] In the figure, "region" indicates the region of interest selected from the remote sensing image; "AE (absolute error)" indicates the absolute error; "size" indicates the number of pixels in the area of ​​interest; "vegetation coverage" indicates the level of vegetation coverage ; "extent of correction" indicates the degree of aerosol correction (obtained from the second column / first column of the table).

[0075] The specific experimental parameters used are as follows: use the Lansat8OLI image and the corresponding time provided by ESPA at the junction of Yichun City and Suihua City, Heilongjiang Province, Chin...

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Abstract

The invention discloses a calculating method for an atmospheric-aerosol-resistant vegetation index. According to the method, a satellite image is segmented into a plurality of sampling areas; on the basis of apparent reflectance of neighborhood pixels in the sampling areas in visible red light and near-infrared wave bands, vegetation indices of central pixels in the sampling areas before influence by aerosol are calculated through inversion; and the vegetation indices of central pixels of all the sampling areas obtained through inversion are fused together to form a corresponding image. With the method provided by the invention, complex atmospheric contour parameters do not need to obtain and input; searching of dark pixels with specific conditions is not needed; and the method overcomes the problems of model errors caused by heteroplasmy of spatial distribution of the parameters and incapability of atmospheric correction due to nonexistence of dark pixels in a to-be-corrected image.

Description

technical field [0001] The invention relates to a method for calculating an anti-atmospheric aerosol vegetation index, in particular to a method for calculating an anti-atmospheric aerosol vegetation index based on neighborhood pixels. Background technique [0002] The remote sensing-based vegetation cover index (NDVI) index plays an important role in monitoring global land surface vegetation changes. Solar radiation reaches the Earth's surface and is disturbed by the atmosphere as it is reflected into satellite sensors. Among them, aerosol is the main interference factor. Therefore, aerosol correction has become a key link in obtaining the true reflectance of the surface through remote sensing observations. The error of atmospheric correction directly affects subsequent applications including image classification, land cover change and inversion of other surface parameters; for example, the impact on NDVI. Atmospheric composition causes the error between the observed NDV...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/17
CPCG01N21/17G01N2021/1793
Inventor 陈云浩王丹丹
Owner BEIJING NORMAL UNIVERSITY
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