A Novel Vegetation Index Correction Method Resistant to Terrain Effect and Background Effect

A vegetation index and terrain correction factor technology, applied in the field of data correction, can solve the problems of NIRv being easily affected by terrain, vegetation parameter inversion and monitoring uncertainty, etc., to achieve a strong ability to characterize vegetation structure, improve application potential, Universal effect
CN112986241BActive Publication Date: 2022-05-20SOUTHWEST JIAOTONG UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
SOUTHWEST JIAOTONG UNIV
Publication Date
2022-05-20

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Abstract

The invention discloses a novel vegetation index correction method that is resistant to terrain effects and background effects, including A collecting remote sensing images and DEM data of vegetation; Correction to obtain the surface reflectance; C calculate the vegetation index NIRv and terrain correction factor P corresponding to each pixel according to the slope data and surface reflectance; use the vegetation index NIRv and terrain correction factor P as input to calculate the anti-topography vegetation index. The method for correcting the original vegetation index by introducing a terrain correction factor proposed by the present invention has strong universality, strong resistance to terrain and the ability to characterize vegetation structure, and is expected to further improve the application potential of the vegetation index in mountainous areas.
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Description

technical field

[0001] The invention belongs to the technical field of data correction, and in particular relates to a novel vegetation index correction method that is resistant to terrain effects and background effects. Background technique

[0002] Vegetation index has been widely used in vegetation growth monitoring. However, the vegetation index is easily affected by external factors such as soil background, atmospheric conditions, terrain, illumination, and observation angle. ARVI that suppresses atmospheric effects, EVI that suppresses saturation effects, etc.

[0003] Terrain causes significant distortion in remote sensing observations, which brings greater uncertainty to subsequent applications. In order to suppress the terrain effect, a variety of terrain correction methods have been developed, such as cosine correction, SE correction, SCS+C correction, PLC correction, etc. However, the above-mentioned models are all proposed for the spectral reflectance of remot...

Claims

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