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Remote sensing quantitative inversion method for soil moisture supply amount

A technology of soil moisture and supply, applied in the field of remote sensing quantitative inversion, can solve problems such as poor spatial representation, difficulty in application, and operational operation

Active Publication Date: 2011-01-19
CHINA AGRI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is: to overcome the poor spatial representation of observation and simulation of soil moisture and crop water stress information on traditional application points, and even difficult to apply and operate in some areas, so as to realize crop growth in the whole Real-time and dynamic monitoring of water stress information during the period

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  • Remote sensing quantitative inversion method for soil moisture supply amount
  • Remote sensing quantitative inversion method for soil moisture supply amount
  • Remote sensing quantitative inversion method for soil moisture supply amount

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Embodiment Construction

[0029] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0030] The method of the present invention integrates crop growth dynamic simulation technology and remote sensing quantitative inversion technology and the needs of its development, studies the inversion method of soil moisture supply in the whole growth period of crops, and uses computer programs to realize subsequent data processing software modules, A relatively systematic remote sensing quantitative inversion system for soil moisture supply has been formed. This system can be used for inversion of soil moisture supply from a certain period of time to the entire growth period during crop growth, which improves the remote sensing inversion of crop water stress informatio...

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Abstract

The invention discloses a remote sensing quantitative inversion method for soil moisture supply amount. The method comprises the integration of dynamic simulation of crop growth, remote sensing quantitative inversion, soil moisture balance and kinetic equation so as to obtain the soil moisture supply amount from a certain time interval to the entire growth period of a crop growth period. The characteristics of dynamic simulation technology and remote sensing quantitative inversion technology for crop moisture stress information are integrated, so that real-time and dynamic monitoring of the soil moisture supply amount in the crop growth period is realized. The largest advantage of the method is that the monitoring of the soil moisture supply amount is dynamic in the aspect of time and continuous in the aspect of space.

Description

technical field [0001] The invention relates to a remote sensing quantitative inversion method for soil water supply in the whole growth period of crops, which uses crop growth dynamic simulation technology and remote sensing quantitative inversion technology to perform dynamic monitoring of crop water stress information closely related to the field of agricultural production. Background technique [0002] Soil moisture is closely related to crop growth. The traditional monitoring method of soil moisture and crop moisture is to measure the soil moisture content at different levels by ground field observation, and then obtain the soil moisture supply and crop water stress information in a certain period by calculation. . Crop growth dynamic simulation technology is a model that simulates crop yield, water and fertilizer balance, and physiological, biochemical and structural parameters during crop growth and development based on meteorological conditions, soil conditions, crop...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/24
Inventor 王鹏新苏涛刘峻明刘春红
Owner CHINA AGRI UNIV
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