Canopy-leaf-nitrogen vertical distribution detection method and device based on remote sensing and agronomy knowledge

Abstract

The invention provides a canopy-leaf-nitrogen vertical distribution detection method and device based on remote sensing and agronomy knowledge. The method includes the steps that the remote sensing reflection information of red light, green light and near-infrared bands of a crop canopy is obtained; according to the agronomy knowledge, a crop-canopy-leaf-nitrogen vertical distribution mathematical model is established; according to the remote sensing reflection information of the red light, green light and near-infrared bands of the crop canopy, an empirical statistic method is adopted, and estimation values of the canopy-nitrogen vertical distribution model parameter K (namely, the vertical distribution coefficient) and N <0> (namely, the nitrogen content of canopy top leaves) are obtained; according to the canopy-nitrogen vertical distribution model and the estimation values of the parameter K and the N <0> obtained through remote sensing, crop-canopy-leaf-nitrogen vertical distribution information is obtained. According to the canopy-leaf-nitrogen vertical distribution detection method and device, the rapid non-destructive monitoring advantages of the remote sensing technology and the advantages of the mechanism performance and the universality of an agronomy knowledge model are fully used, and high-accuracy remote sensing detection of the different-level leaf-nitrogen concentration of crops is achieved; in other words, high-accuracy remote sensing detection of crop-leaf-nitrogen vertical distribution is achieved.

Description

technical field [0001] The invention relates to the field of agricultural technology, in particular to a method and device for detecting the vertical distribution of canopy leaf nitrogen based on remote sensing information and agronomic knowledge. Background technique [0002] At present, land resources are severely scarce, and climate conditions are complex and changeable. Improving the productivity of the existing arable land is crucial to maintaining food security. Nitrogen is an essential nutrient element for crops. Crop growth and production depend not only on the amount of nitrogen absorbed by plants from the soil, but also largely on the vertical distribution of nitrogen in the canopy. Improving and regulating the vertical distribution of nitrogen in the canopy can be a feasible way to increase crop productivity, and its role will become more important under the climate conditions of increasing atmospheric carbon dioxide concentration in the future. The use of remot...

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Problems solved by technology

Based on the estimation method of crop canopy reflection spectrum and interception of photosynthetically active radiation at different levels, it is difficult to obtain the light energy interception information of different levels of large-scale crops, which limits the practical application of this method

Using multi-angle canopy reflectance spectra to extract leaf nitrogen content at different levels, since multi-angle observations are still mixed spectra of different leaf layers, the estimation accuracy is limited

Estimating the nitrogen content of leaves at different levels by using the reflectance spectra or fluorescence characteristics of single leaves at different levels faces the dilemma that it is difficult to obtain the reflectance spectra and fluorescence information of leaves at different levels of crops in large-scale remote sensing monitoring, and the practical application is limited.

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