Chlorophyll content estimating method for winter wheat in returning green stage

Abstract

The invention discloses a chlorophyll content estimating method for winter wheat in a returning green stage. The method comprises the following steps: acquiring an actually measured value of the chlorophyll content of the winter wheat in the returning green stage at a sampling point; acquiring a multispectral remote sensing image of the sampling point, shot and transmitted by an unmanned aerial vehicle; pre-processing the multispectral remote sensing image to obtain a wave band image of which an image reflectivity is within a preset threshold value; extracting a reflectivity value of each waveband of a pixel corresponding to the sampling point from the wave band image; performing correlation analysis on the actually measured value of the chlorophyll content and the reflectivity value of each wave band by using a statistics product and service solution method, to obtain a sensitive wave band; through a multiple linear regression method, constructing chlorophyll content estimating models; screening the chlorophyll content estimating models to obtain an optimal estimating model; and estimating the chlorophyll content of the winter wheat in the returning green stage in an area to be tested by using the selected optimal estimating model. The provided chlorophyll content estimating method based on the multispectral image of the unmanned aerial vehicle is capable of solving the problems that an existing method wastes time and energy, the time stability is poor,and a spatial resolution is low, and the like.

Description

technical field [0001] The invention relates to the field of non-destructive quantitative remote sensing monitoring of crops and agricultural products, in particular to a method for estimating the chlorophyll content of winter wheat at the greening stage based on multi-spectral remote sensing images of an unmanned aerial vehicle, in particular to a method for estimating the chlorophyll content of winter wheat at the greening stage. Background technique [0002] Wheat is the main food crop in my country, how to improve its yield and quality has been paid more and more attention. For the goal of high yield and high quality of wheat, it is particularly important to quickly and non-destructively monitor the nutritional status information during its growth. The turning green period of winter wheat refers to the period in which more than half of the wheat seedlings in the early spring wheat field have one leaf, and the part grows up to 1-2cm, which is about a month. During this pe...

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Problems solved by technology

[0006] In order to solve the problems in the above-mentioned prior art, the object of the present invention is to provide a method for estimating the chlorophyll content of winter wheat at the turning green stage, to overcome the time-consuming problems existing in traditional spectrophotometers, chemical analysis methods, SPAD value determination methods and satellite remote sensing technology. The shortcomings of laboriousness, poor time stability and low spatial resolution have achieved the technical effect of estimating the chlorophyll content of winter wheat at the turning green stage in precision agriculture without being limited by cycle and weather conditions, with short operation cycle, high flexibility and low cost.

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