Disease latent tree detection method and system based on hyperspectral unmanned aerial vehicle

Abstract

The invention discloses a disease latent tree detection method and system based on a hyperspectral unmanned aerial vehicle, and the method comprises the steps: taking a forest region infected with a disease as a sample region, and randomly selecting a plurality of sample plants; periodically collecting leaves, acquiring spectral data of the leaves, judging the health state of each sample plant, determining a disease stress area in combination with the satellite remote sensing image of the sample area, and identifying the disease type of the sample plant; establishing a disease data model; determining a target area, and collecting a hyperspectral image of the target area; preprocessing the hyperspectral image and inputting the hyperspectral image into a disease data model to obtain a diseased plant detection result. A disease data model is established based on sample data acquired in the earlier stage, an unmanned aerial vehicle is used for carrying a hyperspectral camera for field data acquisition, the disease data model is used for detecting diseased plants, and data support is provided for large-scale forest disease and insect pest occurrence trend, disease monitoring and early warning through the hyperspectral remote sensing technology.

Description

technical field [0001] The invention relates to the technical field of remote sensing monitoring and tree disease and insect pest control, and more specifically relates to a method and system for detecting disease latent trees based on a hyperspectral drone. Background technique [0002] At present, the damage of diseases and insect pests is an important factor affecting the forest ecological environment, such as pine wilt disease, which is the most serious international forestry quarantine object affecting the forest ecology of our country, and it is also a kind of forest destructive disease that countries around the world strictly guard against. The disease is mainly transmitted by the pine wood nematode carried by the monochamus, which can harm a variety of pinus plants. Only by accurately locating the latent trees in the epidemic area, and then treating the latent trees and diseased trees, can it be possible to truly eradicate the pathogen, eradicate the epidemic area, a...

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Problems solved by technology

[0005] In view of this, the present invention provides a disease latent tree detection method and system based on a hyperspectral UAV, which solves the problems of low efficiency, long cycle, high cost and low reliability of the results in the existing disease latent tree detection methods. question

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