Method and system for inversion of soil moisture under vegetation cover based on ASAR and Hyperion data

A technology of vegetation coverage and soil moisture, which is applied in the analysis of materials, material analysis by optical means, measurement devices, etc., can solve the problems of measurement accuracy, low reliability, and easy to be interfered, so as to achieve easy operation and broad application prospects. , the effect of strong stability

Active Publication Date: 2013-07-10
BEIJING NORMAL UNIVERSITY
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Problems solved by technology

[0006] The present invention provides a method and system for retrieving soil water content under vegetation coverage based on ASAR and Hyperion data, which solves the problem

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  • Method and system for inversion of soil moisture under vegetation cover based on ASAR and Hyperion data
  • Method and system for inversion of soil moisture under vegetation cover based on ASAR and Hyperion data
  • Method and system for inversion of soil moisture under vegetation cover based on ASAR and Hyperion data

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Embodiment Construction

[0041] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0042] The present invention provides a method for retrieving soil moisture under vegetation coverage based on ASAR and Hyperion data, such as figure 1 As shown, the specific steps of the method are:

[0043] S1, using Hyperion to obtain the Hyperion hyperspectral image data of the experimental area can also be called Hyperion data or hyperspectral data, and extract the vegetation area in the experimental area;

[0044] S2. Construct a vegetation water content model based on ratio index and empirical coefficient:

[0045] SR = R SWIR R NIR ;

[0046] m v =a 0 SR+b 0 ;

[0047] Among them, SR is the vegetation moisture ratio index, m v is the vegetation water content, R SWIR and R NIR are the re...

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Abstract

The invention provides a method and a system for inversion of soil moisture under vegetation cover based on ASAR and Hyperion data. The method comprises the following concrete steps: acquiring Hyperion hyperspectral image data in an experimental zone and extracting a vegetation area in the experimental zone; constructing a vegetation water content model based on a ratio index and an empirical coefficient; carrying out regressive calculation through combination of vegetation water content actually measured in the ground and an vegetation ratio index calculated on the basis of the Hyperion hyperspectral image data so as to obtain the value of the empirical coefficient; matching ASAR radar data needed by the hyperspectral image data; and inputting the matched hyperspectral image data and ASAR radar data, the vegetation water content model and the value of the empirical coefficient into a water cloud model and carrying out inversion calculation to obtain water content in soil under vegetation cover. The method and the system provided by the invention have specific physical bases and the advantages of a few input parameters, easiness, flexibility, easy operation and the like and enable measurement of the water content in soil under vegetation cover to be more accurate.

Description

technical field [0001] The invention relates to the technical field of remote sensing measurement of soil water content, in particular to a method and system for collaborative inversion of soil moisture under vegetation coverage based on ASAR and Hyperion data. Background technique [0002] Soil moisture is the link between atmospheric precipitation, water in plants, surface water and groundwater, and is a key parameter factor in the research of hydrology, agriculture, climate, ecology and other fields. Therefore, it is of great significance to achieve accurate and rapid monitoring of surface soil moisture in large areas. [0003] Compared with the traditional monitoring methods of measuring soil moisture, remote sensing technology can provide multi-source, multi-dimensional and multi-temporal information on the surface, which has the advantages of large area, macroscopic, real-time and dynamic, and opens up a new way for soil moisture measurement. There are many methods fo...

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Application Information

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IPC IPC(8): G01N21/35G01N21/3563G01N21/359
Inventor 姚云军程洁刘素红张晓通张楠楠
Owner BEIJING NORMAL UNIVERSITY
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