A diagnostic simulation method for crop growth and fertilization coupled with remote sensing nitrogen information

A technology for crop growth and remote sensing of nitrogen, applied in instruments, measuring devices, scientific instruments, etc., can solve problems such as difficulty in obtaining fertilization and soil fertility data, fuzzy nitrogen nutrient limitation, etc., to avoid calculation bottlenecks and improve model accuracy , apply environment-friendly effects

Active Publication Date: 2022-05-17
AEROSPACE INFORMATION RES INST CAS +2
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the problems existing in the prior art, such as the difficulty in obtaining regional fertilization and soil fertility data, the fuzzy limitation of nitrogen nutrition on photosynthesis in crop models, etc., and provide a crop growth model coupled with remote sensing nitrogen information. And fertilization diagnosis simulation method, this method obtains the nitrogen content of each layer of leaves and its effect on leaf photosynthesis by simulating the distribution of nitrogen content in the crop canopy section

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  • A diagnostic simulation method for crop growth and fertilization coupled with remote sensing nitrogen information
  • A diagnostic simulation method for crop growth and fertilization coupled with remote sensing nitrogen information
  • A diagnostic simulation method for crop growth and fertilization coupled with remote sensing nitrogen information

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Embodiment 1

[0021] In order to have further understanding and understanding to the flow process of the inventive method and effect, cooperate the accompanying drawing to carry out more detailed implementation explanation to the present invention by the example of a plurality of farmland ecosystem test stations, explain as follows:

[0022] S1. Obtain the nitrogen content of the canopy retrieved by satellite:

[0023] Based on the longitude and latitude coordinates of the farmland and the field shaplefile, the Sentinel-2 satellite imagery (5-day time resolution, multi-spectral 20m spatial resolution) was retrieved during the crop growth period. The neural network inversion algorithm in the ESA SMAP toolbox was used to obtain the leaf area index of farmland crops and the average leaf chlorophyll content of the canopy. The total nitrogen content of the crop canopy can be obtained by multiplying the linear relationship between leaf chlorophyll and nitrogen content (Equation 3) by the leaf are...

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Abstract

The invention belongs to the technical field of remote sensing agricultural monitoring, and relates to a method for diagnosing and simulating crop growth and fertilization coupled with remote sensing nitrogen information. Firstly, construct the time-series smoothing curve of canopy nitrogen content during the crop growth period, and then use the Savitzky-Golay filter to filter and smooth the time-series curve; Downscaling to leaf nitrogen content; coupling leaf nitrogen content to leaf photosynthesis mechanism model, in crop models, photosynthetic productivity simulation modules mostly use Farquhar photosynthesis mechanism model; calculate critical nitrogen content under current crop growth conditions, and then use Equation 2 to calculate the nitrogen nutrition index: This method proposes a coupling approach between the remote sensing canopy nitrogen content and the photosynthesis model, so that the model reflects the original soil fertility and the actual effect of the farmer's fertilization on crop growth, avoiding the above-mentioned data in the area. The calculation bottleneck of difficult scale acquisition improves the accuracy of the model and is friendly to the application environment.

Description

Technical field: [0001] The invention belongs to the technical field of remote sensing agricultural monitoring, in particular to a method for diagnosing and simulating crop growth and fertilization coupled with remote sensing nitrogen information. Background technique: [0002] Nitrogen is an important element that affects crop photosynthesis and productivity. Nitrogen content controls the amount of photosynthesis-related proteins and chlorophyll in crops. The lack of nitrogen nutrition will significantly reduce the photosynthesis rate of crops, which will lead to the reduction of crop yield and quality; while the excessive application of nitrogen fertilizer will cause a series of environmental problems such as nitrogen leaching and groundwater pollution. Therefore, accurately simulating the nitrogen nutrition status of crops and its constraints on photosynthesis is very important for accurate estimation of crop productivity and precise fertilization by farmers. [0003] R...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/25
CPCG01N21/25G01N2021/1797
Inventor 张佳华王靖雯白雲姚凤梅
Owner AEROSPACE INFORMATION RES INST CAS
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