Remote sensing monitoring method of wheat take-all disease based on change vector analysis and construction method of its monitoring model

Abstract

The invention discloses a remote sensing monitoring method for wheat take-all disease based on change vector analysis, using wheat growth characteristics, wheat phenology knowledge and prior knowledge of wheat take-all disease, based on Landsat 7 TM image and Landsat 8 OLI image The data collection of erosion disease, using the response mechanism of different wheat growth on the spectrum, extracts the wheat planting area, analyzes the vegetation index distribution information in different phases, judges the correlation between each vegetation index and the severity of wheat take-all, and uses the change Vector analysis method, using the spatial angle of the vegetation index vector to construct a change vector to construct a monitoring model for wheat take-all disease, transforming the complex change type judgment problem into an angle classification problem, and using the change vector constructed by the angle change vector to represent The type of change has a clear physical meaning and is easier to interpret. It has high accuracy in the detection of wheat growth information and take-all disease conditions.

Description

technical field [0001] The invention belongs to crop disease monitoring technology, and in particular relates to a remote sensing monitoring method for wheat take-all disease based on change vector analysis and a method for constructing a monitoring model. Background technique [0002] Wheat take-all, also known as blight, is a soil-dwelling fungus, a typical root soil-borne disease, and one of the devastating diseases on wheat. The disease mainly harms the roots of wheat and 1-2 nodes at the base of the stem. The mycelium of the pathogen invades the roots of wheat plants and multiplies in large numbers, destroys root tissue cells, blocks root ducts, prevents normal transportation of nutrients and water in plants, and leads to reduced tillering of wheat plants. Plants become yellow, dwarf, or even die, resulting in a large-scale reduction in wheat production. Under humid conditions, the pathogenic bacteria form a black-brown hyphae layer visible to the naked eye, which is i...

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Problems solved by technology

[0004] At present, the monitoring and forecasting methods for pests and diseases in my country are still visual inspection and field sampling. Although this traditional manual inspection method has good authenticity and high accuracy, it is time-consuming and labor-intensive, and it cannot be inspected on a large scale. , leading to omissions and misjudgments in non-monitored areas or areas with atypical characteristics, resulting in the continued spread of pests and diseases

In addition, the information acquisition and feedback in the traditional way also has a lag, which seriously affects the accuracy and timeliness of data

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