Method for constructing green and healthy vegetation remote sensing recognition index

A technology of remote sensing recognition and construction method, applied in the field of remote sensing target recognition, can solve the problem of difficult to accurately distinguish green and healthy vegetation from withered and deciduous vegetation, and achieve the effect of suppressing image information and enhancing image information.

Pending Publication Date: 2022-05-20
HENAN UNIVERSITY
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Problems solved by technology

[0003] Aiming at the deficiencies in the above-mentioned technical background, the present invention proposes a method for constructing a green and healthy vegetation remote sensing recognition index, which solves the technical problem that it is difficult to accurately distinguish between green and healthy vegetation and withered and deciduous vegetation, and realizes the rapid remote sensing interpretation of green and healthy vegetation and cartography

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  • Method for constructing green and healthy vegetation remote sensing recognition index
  • Method for constructing green and healthy vegetation remote sensing recognition index
  • Method for constructing green and healthy vegetation remote sensing recognition index

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Embodiment Construction

[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0038] Such as figure 1 Shown, the present invention provides a kind of construction method of green healthy vegetation remote sensing recognition index, concrete steps are as follows:

[0039] S1. Use the remote sensing cloud platform to collect 2 Landsat-8 optical satellite images of the vegetation growth season (May 18) and vegetation withering season (March 22) in the study area in 2021, and preprocess the optical satellite images. Obtain 2 scene surface ...

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Abstract

The invention provides a green healthy vegetation remote sensing recognition index construction method, which comprises the following steps of: acquiring a surface reflectance image of an optical satellite image through a cloud platform, and acquiring spectral information of green healthy vegetation, withered and fallen vegetation and other ground feature samples by utilizing spectral acquisition software; the spectral difference between the green healthy vegetation and the withered and fallen vegetation and other ground objects in the satellite image is analyzed to obtain that the green healthy vegetation shows high reflectivity in a near-infrared band and shows low reflectivity in a red band and a short-wave infrared band, and accordingly, a green healthy vegetation remote sensing index algorithm is constructed, and the green healthy vegetation remote sensing index is calculated. And determining a green healthy vegetation index to identify a threshold value of the green healthy vegetation. According to the method, the technical problem that the green and healthy vegetation and the withered and deciduous vegetation are difficult to accurately distinguish is solved, and a technical scheme and theoretical support are provided for realizing green and healthy vegetation spatial distribution drawing, disease and pest monitoring and the like.

Description

technical field [0001] The invention relates to the technical field of remote sensing target recognition, in particular to a method for constructing a green and healthy vegetation remote sensing recognition index. Background technique [0002] In the field of remote sensing identification of overwintering crops and remote sensing monitoring of vegetation diseases and insect pests, the spectral characteristics of withered and deciduous vegetation are highly similar to those of green and healthy vegetation, making it difficult for traditional vegetation indices to accurately distinguish green and healthy vegetation from withered and deciduous vegetation, thereby affecting The remote sensing recognition accuracy of overwintering crops, and the monitoring accuracy and timeliness of vegetation diseases and insect pests. Traditional vegetation indices include Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Simple Ratio Vegetation Index (Simple Ratio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/10G06K9/62G06V10/774
CPCG06F18/214Y02A90/10
Inventor 田海峰乔家君秦耀辰王志华杨梦丹全澍王帅王永久
Owner HENAN UNIVERSITY
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