Crop irrigation instruction method by means of assimilation of dual polarimetric synthetic aperture radar and crop model

An aperture radar, chemical synthesis technology, applied in the field of agricultural remote sensing, can solve the problem of difficult to achieve high-precision estimation of irrigation

Active Publication Date: 2018-11-13
CHINA AGRI UNIV
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Problems solved by technology

Due to their inherent limitations, these methods are difficult to achieve high-precision estimation of the irrigation required for regional crops.

Method used

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  • Crop irrigation instruction method by means of assimilation of dual polarimetric synthetic aperture radar and crop model
  • Crop irrigation instruction method by means of assimilation of dual polarimetric synthetic aperture radar and crop model
  • Crop irrigation instruction method by means of assimilation of dual polarimetric synthetic aperture radar and crop model

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Embodiment 1

[0048] For the flow chart of winter wheat production estimation using the crop irrigation guidance method assimilated with the dual-polarization synthetic aperture radar and the crop model of the present invention, please refer to the attached figure 1 .

[0049] The three provinces of Hebei, Henan and Shandong were selected as the research area, which is located between 110°12′-122°42′ east longitude and 31°17′-42°41′ north latitude. The total area of ​​the study area is 509,000 square kilometers. The terrain is dominated by plains, and cultivated land accounts for more than 40% of the total area. It belongs to the warm temperate monsoon climate, with annual sunshine hours of 2300h and annual average precipitation of about 650mm.

[0050] S1. Collect the satellite data of the dual-polarization synthetic aperture radar during the growth period of the winter wheat to be measured in the research area, and perform preprocessing to obtain the VH and VV dual-polarization backscatte...

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Abstract

The invention belongs to the field of agricultural remote sensing, and relates to a crop irrigation instruction method by means of assimilation of a dual polarimetric synthetic aperture radar and a crop model. The crop irrigation instruction method includes the steps: collecting satellite data of the dual polarimetric synthetic aperture radar and preprocessing the satellite data of the dual polarimetric synthetic aperture radar, and performing inversion on soil moisture SM by means of an AIEM and an MIMICS (Michigan Microwave Canopy Scattering Model); calibrating an SWAP model of crops of a research region; assimilating the obtained inversion SM and the obtained simulation SM of the SWAP model by means of a Kalman filtering algorithm, and optimizing the SWAP model; and performing the aboveoperations on crop grids one by one based on soil moisture percentage content output from the optimized SWAP model to obtain an irrigation demand, and obtaining a regional crop irrigation program drawing to instruct crop production. The crop irrigation instruction method by means of assimilation of a dual polarimetric synthetic aperture radar and a crop model integrates with the advantages of SARremote sensing data and the crop model, and uses the SAR remote sensing data to effectively overcome the problem that the satellite remote sensing data is missed in the cloudy and rainy conditions, thus greatly increasing the available data time resolution and effectively improving the regional crop soil moisture estimation precision.

Description

technical field [0001] The invention belongs to the field of agricultural remote sensing, and in particular relates to a crop irrigation guidance method for assimilating a dual-polarization synthetic aperture radar and a crop model. Background technique [0002] Traditional crop irrigation guidance methods mainly include statistical survey methods, crop model-based forecasting methods, and agrometeorological forecasting methods. Due to their inherent limitations, these methods are difficult to estimate the irrigation required by regional crops with high precision. The estimation method based on satellite remote sensing technology has unique advantages in estimating the irrigation required for regional crops by virtue of its spatial continuity and temporal dynamic characteristics. At the same time, the combination of remote sensing technology and crop growth models based on crop photosynthesis, respiration, transpiration, nutrition and other mechanism processes can achieve t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90G01N33/00
CPCG01N33/0098G01S13/90G01S13/9076
Inventor 黄健熙李俐卓文苏伟刘峻明刘哲张超朱德海张晓东
Owner CHINA AGRI UNIV
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