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Multi-space-scale self-adaptive monitoring method and device for population growth of crops

A scale-adaptive, crop-based technology, applied to measuring devices, data processing applications, instruments, etc.

Inactive Publication Date: 2014-06-04
CHINA THREE GORGES UNIV
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Problems solved by technology

The existing threshold division strategy is mainly formulated based on ground observation data and prior knowledge, and its versatility and portability in the application of multi-spatial scale remote sensing monitoring of crop population growth needs to be further improved

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  • Multi-space-scale self-adaptive monitoring method and device for population growth of crops

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Embodiment Construction

[0059] Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0060] The present invention proposes a multi-spatial-scale self-adaptive monitoring method and device for the growth of crop groups, which can meet the application requirements of quantitative monitoring and hierarchical evaluation of group growth based on multi-spatial-scale remote sensing observation data, and the monitoring results of group growth at multiple scales have Spatial consistency, this is due to: based on comprehensive consideration of the ability of leaf area index LAI (Leaf area index) to characterize the morphological structure of crop populations and the ability of canopy chlorophyll density (CCD) to characterize the physiological activity of crop populations , the new crop growth monitoring index CGMI (Crop Growth Monitoring Index) constructed by combining agronomic knowledge and vegetation remote sensing response mechanism can compreh...

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Abstract

The invention relates to a multi-space-scale self-adaptive monitoring method and device for the population growth of crops. The method includes the following steps that surface parameters of the population morphological structure and the population physiological activity of the crops are monitored; remote-sensing parameters capable of estimating the growth are established according to the surface parameters and used for comprehensively and quantitatively representing the population morphological structure and the population physiological activity of the crops; the population growth of the crops is estimated according to the remote-sensing parameters capable of estimating the growth. The remote-sensing parameters capable of estimating the growth are established by combining agricultural knowledge and a vegetation remote sensing response mechanism and can be used for comprehensively and quantitatively representing the population morphological structure and the population physiological activity of the crops, a threshold valve division strategy with the space scale self-adaptive capacity is made according to the remote-sensing parameters capable of estimating the growth, space scale universality and transferability of the quantitative threshold value division method are expanded, and the advantage of comprehensively and quantitatively classifying the population growth conditions of the crops is achieved.

Description

technical field [0001] The invention relates to the technical field of agricultural remote sensing monitoring, in particular to a multi-spatial-scale self-adaptive monitoring method and device for crop population growth. Background technique [0002] In the process of agricultural production, timely and accurate acquisition of regional crop population growth information is a necessary prerequisite for crop yield and quality estimation, and is also an important basis for quickly and effectively formulating appropriate agricultural production field management measures. At present, remote sensing quantitative monitoring is the main way to obtain information on the growth status of regional crop groups. It uses the electromagnetic wave information of macroscopic regional objects obtained by space remote sensing technology as the data source, and obtains crop growth status information by quantitatively estimating group growth parameters. Existing remote sensing can estimate a wid...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/02G01D21/02
Inventor 王纪华董莹莹任东董方敏徐守志
Owner CHINA THREE GORGES UNIV
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