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Crop growth parameter determination method and system based on multi-spectral remote sensing image of unmanned aerial vehicle

A multi-spectral image and remote sensing image technology, applied in the field of UAV remote sensing, can solve the problems of insufficient accuracy, labor-intensive, difficult large-scale space-time measurement, etc., to achieve accurate estimation and promote the effect of application

Pending Publication Date: 2022-03-18
QINGDAO AGRI UNIV
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Problems solved by technology

[0005] In order to solve the problems in the prior art that the measurement methods of aboveground biomass and leaf area index of crops are not accurate enough, labor-intensive, and difficult to be used for large-scale space-time measurement, the invention provides a crop based on multi-spectral remote sensing images of UAVs. Method and system for measuring growth parameters

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  • Crop growth parameter determination method and system based on multi-spectral remote sensing image of unmanned aerial vehicle
  • Crop growth parameter determination method and system based on multi-spectral remote sensing image of unmanned aerial vehicle

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Embodiment 1

[0044] A method for measuring red bean growth parameters based on UAV multispectral remote sensing images, the flow chart is shown in figure 1 , including the following steps:

[0045]Step 1. Multispectral image acquisition and preprocessing

[0046] (1) Determine the spatial range of the red bean area to be measured, divide the area into 5m×2m cells, and use the multi-spectral remote sensing image acquisition device carried by the drone to obtain six-band spectral remote sensing images of the crops in the area to be measured. Using a quadrotor drone (matrix 200 V2, DJI, Inc., China) equipped with a multispectral camera (MS600, Yusense, Inc., Qingdao, China) to collect multispectral images of red beans; the flying height is 15m, and the flying speed is 1.1 m / s. The multispectral camera used is equipped with 6 bands of 450nm, 555nm, 660nm, 710nm, 840nm and 940nm, and each channel uses a 1.2mp high dynamic range global shutter CMOS detector with a resolution of 1280*960.

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Embodiment 2

[0070] A method for measuring mung bean growth parameters based on UAV multispectral remote sensing images, the flow chart is shown in figure 1 , including the following steps:

[0071] Step 1. Multispectral image acquisition and preprocessing

[0072] (1) Determine the spatial range of the mung bean area to be measured, divide the area into 5m×2m cells, and use the multi-spectral remote sensing image acquisition device carried by the drone to obtain six-band spectral remote sensing images of the crops in the area to be measured. Use a quadrotor drone (matrix 200V2, DJI, Inc., China) equipped with a multispectral camera (MS600, Yusense, Inc., Qingdao, China) to collect multispectral images of mung beans; the flying height is 15m, and the flying speed is 1.1m / s. The multispectral camera used is equipped with 6 bands of 450nm, 555nm, 660nm, 710nm, 840nm and 940nm, and each channel uses a 1.2mp high dynamic range global shutter CMOS detector with a resolution of 1280*960.

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Abstract

The invention discloses a crop growth parameter determination method and system based on a multi-spectral remote sensing image of an unmanned aerial vehicle. The measuring method comprises the following steps: dividing a crop area to be measured into a plurality of small areas; acquiring a multispectral picture by using an unmanned aerial vehicle carrying a multispectral remote sensing image acquisition device; carrying out correction processing on the multispectral picture to obtain a six-waveband multispectral orthoimage map; acquiring actual measurement data of growth parameters of crops in a region corresponding to the multispectral image; constructing an inversion model of the growth parameters of the crops in the to-be-detected area according to the spectral reflectivity and the spectral index; and according to the model, real-time nondestructive monitoring of growth parameters of large-area crops is obtained through inversion of a multispectral remote sensing image. According to the invention, large-area nondestructive measurement of crop growth parameters is realized, an important theoretical basis is provided for intelligent agriculture and crop management, and application of unmanned aerial vehicle multispectral remote sensing in crop monitoring is further promoted.

Description

technical field [0001] The invention belongs to the field of remote sensing of drones, and in particular relates to a method and system for measuring crop growth parameters based on multi-spectral remote sensing images of drones. Background technique [0002] Aboveground biomass and leaf area index are two main parameters of crop growth, which can reflect the growth status of crops and help crop production management. However, traditional crop growth assessment methods are based on destructive sampling, that is, manually collecting data samples in the field. Although this method is accurate, it is destructive, labor-intensive, time-consuming, and difficult to use for large-scale spatio-temporal measurements. Another method is to use field measuring instruments to evaluate crops. Although it is less destructive to crops, external factors have a certain impact on experimental equipment, and it is also difficult to apply it to rapid monitoring of field crops. Therefore, rapid...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/764G06V20/10G06K9/62G06F17/18G01N21/84
CPCG01N21/84G06F17/18G06F18/2411
Inventor 丁兆堂史玉洁王玉范凯陈泗洲罗丹妮
Owner QINGDAO AGRI UNIV