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Assimilation evapotranspiration and LAI (leaf area index) region soil moisture monitoring method

A technology of leaf area index and soil moisture, applied in the field of agricultural remote sensing, can solve the problems of differential assimilation effect, low spatial resolution of MODIS data, serious mixed pixel effect, etc., to avoid the effect of low value.

Inactive Publication Date: 2016-02-10
INST OF AGRI RESOURCES & REGIONAL PLANNING CHINESE ACADEMY OF AGRI SCI
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Problems solved by technology

However, in the main production area of ​​winter wheat in North China, due to the low spatial resolution of MODIS data, the mixed pixel effect is serious, resulting in a systematically low error in the product, and the direct assimilation of MODISET and LAI products will lead to a worse assimilation effect

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  • Assimilation evapotranspiration and LAI (leaf area index) region soil moisture monitoring method
  • Assimilation evapotranspiration and LAI (leaf area index) region soil moisture monitoring method
  • Assimilation evapotranspiration and LAI (leaf area index) region soil moisture monitoring method

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Embodiment 1

[0058] The technical scheme of the present invention is further described by taking the estimation of the Guanzhong Plain in Shaanxi as an example. The flow process of the Shaanxi Guanzhong Plain in this embodiment is as follows figure 1 shown, including:

[0059] In step S1, the crop model of the experimental area is calibrated, the remote sensing data and the ground parameters are spatially geometrically registered, and the crop model parameter regionalization is completed.

[0060] The Guanzhong Plain in Shaanxi Province was selected as the experimental area. This area includes 31 counties including Fengxiang, Qishan, Fufeng, Meixian, Yangling, and Wugong, which belong to the five prefecture-level cities of Xi'an, Xianyang, Baoji, Weinan, and Tongchuan. 106°18'E--110°30'E, 33°40'N--35°28'N, such as diagram 2-1 shown. The climate of this place belongs to the temperate monsoon climate, with an average annual temperature of 6-13°C. The annual precipitation is 500-800 mm, ...

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Abstract

The invention discloses an assimilation evapotranspiration and LAI (leaf area index) region soil moisture monitoring method, and the method comprises the specific steps: S1, calibrating a crop growth model, and completing the determination of spatial parameters; S2, generating an MODIS ET and LAI time sequence curve through superposition; S3, constructing an LAI time sequence curve through filtering; S4, calculating the one-order differential monotonicity of the curve; S5, operating an SWAP model grid by grid, outputting the ET and LAI, and calculating the one-order differential monotonicity; S6, building a cost function according to the difference between the one-order differential monotonicity obtained at step S4 and step S5, taking an seedling emergence date and irrigation time as to-be-optimized parameters, and obtaining an optimal value through employing an optimization algorithm; S7, inputting the optimal parameter into a model, and simulating soil moisture grid by grid. The method estimates the soil moisture through a data assimilation method, introduces two types of remote sensing data, improves the precision of large-area monitoring of soil moisture, and is suitable for the estimation of the soil moisture of regional-scale of farmland.

Description

technical field [0001] The invention relates to the technical field of agricultural remote sensing, in particular to a method for monitoring regional soil moisture by assimilating evapotranspiration and leaf area index. Background technique [0002] Soil moisture is the main component of the surface water cycle, directly affects the material and energy cycle process on the surface, is the material basis for the growth and development of crops, and is an important indicator parameter in modern agricultural production and research. Therefore, the development of large-scale farmland soil moisture estimation methods has important practical significance for the fields of precision agriculture, yield forecasting and agricultural monitoring. [0003] Traditional soil moisture estimation methods mainly include gravimetric method, tensiometer method, time-domain reflectometry, etc., but these methods can only collect discrete data of sample points, require a lot of manpower and mater...

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Application Information

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IPC IPC(8): G06Q50/02G06Q10/04
Inventor 王利民刘佳杨福刚邹金秋滕飞
Owner INST OF AGRI RESOURCES & REGIONAL PLANNING CHINESE ACADEMY OF AGRI SCI
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