Crop chlorophyll content inversion method based on hyperspectral remote sensing of unmanned aerial vehicle
A technology of chlorophyll content and hyperspectral remote sensing, which is applied in the field of inversion of chlorophyll content of crops based on UAV hyperspectral remote sensing, can solve the problems of being easily affected by clouds and lack of temporal and spatial resolution, etc. The effect of monitoring the chlorophyll content of crops, reducing the modeling dimension, and high precision
Pending Publication Date: 2021-10-22
INST OF SOIL & FERTILIZER ANHUI ACAD OF AGRI SCI
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Although satellite remote sensing is capable of large-scale monitoring and low cost, it is easily affected by clouds and has a long operating cycle, lacking the temporal and spatial resolution required for precision agriculture
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[0062] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0063] Depend on figure 1 Shown, a kind of crop chlorophyll content inversion method based on unmanned aerial vehicle hyperspectral remote sensing of the present invention comprises the following steps:
[0064] S1, measure the chlorophyll content of leaves in the test field, divide the field into M field areas, and obtain the measured value of chlorophyll content in each field area. According to the measured value of chlorophyll content in each field area, c...
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The invention discloses a crop chlorophyll content inversion method based on unmanned aerial vehicle hyperspectral remote sensing, which comprises the following steps: dividing a field into a plurality of field areas to obtain a chlorophyll content measured value of each field area; acquiring spectral information of each field area by using a hyperspectral remote sensing image of the unmanned aerial vehicle; clustering the field parcels based on the spectral information of the field parcels to obtain cluster sets; screening feature wavebands of all the clustering sets, and constructing feature matrixes of all the clustering sets; enabling the feature matrix of each cluster set to correspond to the chlorophyll content measured value of the corresponding field area, and carrying out training to construct a random forest regression model, namely an inversion model. The inversion method provided by the invention is beneficial to monitoring the chlorophyll content of large-area crops, does not damage the crops, provides a novel and reliable method for monitoring the chlorophyll content of the leaves of the crops, and has a relatively high practical value.
Description
technical field [0001] The invention relates to the technical field of processing and application of remote sensing information, in particular to a method for retrieving chlorophyll content of crops based on UAV hyperspectral remote sensing. Background technique [0002] In traditional agriculture, the monitoring of crop growth parameters is mainly through artificial destructive sampling combined with manual measurement to obtain relevant agronomic indicators. Traditional methods are difficult to apply to large-scale crop growth monitoring, and traditional methods require a lot of work. However, in the process of crop growth and photosynthesis and physiological metabolism, its growth includes some physiological and biochemical parameters, such as leaf chlorophyll content, leaf area index, plant nitrogen content, etc., which are closely related to canopy spectral characteristics. Therefore, remote sensing can be used to obtain real-time spectral information of crops, and ind...
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Login to View More IPC IPC(8): G06K9/00G06K9/62
CPCG06F18/23G06F18/24323G06F18/214Y02A40/10
Inventor 叶寅杨欣
Owner INST OF SOIL & FERTILIZER ANHUI ACAD OF AGRI SCI