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Method for adjusting and optimizing terrain by utilizing terrain adjusting vegetation index

A technology of vegetation index and optimization method, applied in the direction of electromagnetic wave re-radiation, utilization of re-radiation, measurement device, etc., can solve problems such as limitations, achieve the effect of low cost, easy operation, and conducive to business application and promotion

Inactive Publication Date: 2012-11-21
FUZHOU UNIV
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Problems solved by technology

For the optimization algorithm of the key factor in the vegetation index - terrain adjustment factor (also known as terrain correction factor), "Construction Method of Terrain Correction Vegetation Index" (National Patent Application No. 200910111688. Data optimization algorithm; since the optimization algorithm needs the support of ground survey data or field investigation data, it is subject to certain restrictions in practical application

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  • Method for adjusting and optimizing terrain by utilizing terrain adjusting vegetation index

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Embodiment Construction

[0017] Such as figure 1 As shown, the present invention provides a terrain adjustment optimization method for terrain adjustment vegetation index, which is characterized in that: using the band information of the optical remote sensing image itself and its derived information to optimize, including the following steps:

[0018] (1) Constructing the terrain-adjusted vegetation index TAVI: the basic calculation formula of the terrain-adjusted vegetation index is as follows

[0019] TAVI = CVI + TAC * SVI

[0020] Among them, CVI represents commonly used vegetation index, such as normalized difference vegetation index NDVI, ratio vegetation index RVI, etc.; SVI represents shade vegetation index; TAC represents terrain adjustment factor, and the corresponding specific calculation formula is as follows:

[0021] NDVI = (B nir -B r ) / (B nir +B r )

[0022] RVI = B nir / B r

[0023] SVI = [MAX(B r ) – B r ] / B r

[0024] Among them, B nir Indicates near-inf...

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Abstract

The invention relates to a method for adjusting and optimizing a terrain by utilizing a terrain adjusting vegetation index. The method is characterized in that waveband information of an optical remote sensing image and derived information thereof are used for optimizing; and the method comprises the steps of constructing a terrain adjusting vegetation index (TAVI), classifying images and optimizing matching, can accurately and quickly invert the vegetation index of complicated terrain mountain areas, provide an important means for drawing complicated terrain mountain area vegetation (forest), monitoring vegetation coverage, estimating forest coverage rate and inverting the leaf area index, can also provide important calculation parameters for estimating biophysical and biochemical parameters such as forest biomass, productivity, photosynthetic active radiation and absorption and the like, and has favorable practical value.

Description

technical field [0001] The invention relates to a terrain adjustment and optimization method for terrain adjustment vegetation index. Background technique [0002] In mountainous areas with complex terrain, due to terrain fluctuations that change the distribution of solar radiation on the surface, for the same band, in the multispectral remote sensing image, the radiance value of the shady slope part of the mountain is relatively small, while the radiance value of the sunny slope part is relatively large, resulting in image The information is distorted, and the vegetation index information generated by the corresponding band is distorted, which seriously affects the accurate inversion of ground vegetation information. Terrain influence has become one of the main obstacles to accurate remote sensing retrieval of vegetation information in mountainous areas. [0003] At present, the conventional processing method is to perform terrain correction before calculating the vegetati...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/48G01S17/00
Inventor 江洪
Owner FUZHOU UNIV