Method for constructing green and healthy vegetation remote sensing recognition index

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...

AI Technical Summary

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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