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Soil moisture inversion method and soil moisture inversion device based on remote sensing

A technology of soil moisture and inversion equation, applied in the field of microwave remote sensing

Active Publication Date: 2017-04-19
CHANGAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0009] The technical problem to be solved by the present invention is to effectively overcome the defects existing in the prior art methods, and solve the problem of how to classify according to different parameter indexes in the case of large-scale regional inversion. The present invention provides a method based on high-resolution SAR The soil moisture retrieval method of the bare surface in the arid and semi-arid area of ​​the image, this method is applied to the arid and semi-arid area of ​​Northwest China, including the following steps:

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  • Soil moisture inversion method and soil moisture inversion device based on remote sensing
  • Soil moisture inversion method and soil moisture inversion device based on remote sensing
  • Soil moisture inversion method and soil moisture inversion device based on remote sensing

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Embodiment 1

[0150] Such as figure 1 As shown, the embodiment of the present invention provides a soil moisture retrieval method based on remote sensing, comprising the following steps:

[0151] Step 1, based on the combined roughness semi-empirical inversion equation library and the parameter information of the SAR image, the surface combined roughness of each pixel in the SAR image is obtained;

[0152] In this embodiment, the SAR image parameters involved include parameters such as polarization mode, different time phases, and different incident angles of SAR images.

[0153] In this embodiment, the establishment of the combined roughness semi-empirical inversion equation library is to input parameters such as soil moisture, surface roughness, incident angle, and incident frequency into the AIEM model to obtain the backscattering coefficients of different polarization modes and the surface combined roughness degree backscattering model. The combined roughness inversion equation librar...

Embodiment 2

[0218] An embodiment of the present invention provides a soil moisture inversion device based on remote sensing. The device is applied in the arid and semi-arid regions of Northwest China. It is characterized in that it includes a combined surface roughness inversion module, an image pixel classification module, a coefficient integration module and soil moisture retrieval module;

[0219] The combined surface roughness inversion module is used to obtain the surface combined roughness of each pixel in the SAR image based on the combined roughness semi-empirical inversion equation library and the parameter information of the SAR image;

[0220] In this embodiment, the SAR image parameters involved include parameters such as polarization mode, different time phases, and different incident angles of SAR images.

[0221] In this embodiment, the establishment of the combined roughness semi-empirical inversion equation library is to input parameters such as soil moisture, surface rou...

Embodiment 3

[0286] In the following, an ENVISAT-ASAR image whose polarization mode is VV / VH is taken as an example to illustrate the specific implementation process of the present invention.

[0287] Input an ENVISAT-SAR image, the incident waveband is C-band, the polarization mode is VV / VH, the incident angle is IS2 mode (19.2°-26.7°), the image shooting time is around March 2007, and the coverage area is probably located in Gansu In the Arou area, the image was downloaded from the digital Heihe data sharing platform. The data includes a certain amount of measured soil moisture data, as well as registered effective soil temperature data and soil texture data in this area.

[0288] The imagery is rectified using a range-Doppler terrain correction algorithm and then geocoded.

[0289] The enhanced Lee filter is used to filter the image to eliminate the noise spots of the radar image.

[0290] Image radiation correction converts the gray value of the image into the backscatter coefficient,...

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Abstract

The invention discloses a soil moisture inversion method and a soil moisture inversion device based on remote sensing. The method comprises the following steps: S1, obtaining the surface combined roughness of the pixels in an SAR image through inversion according to the parameter information of the SAR image; S2, making classified judgment pixel by pixel according to the range of incident angle and the surface combined roughness of the pixels, and selecting corresponding soil moisture inversion semi-empirical equations; S3, performing regression fitting on the coefficients of the semi-empirical equations based on field measurement data to get empirical inversion equations corresponding to the pixels; and S4, getting soil moisture corresponding to each pixel in the SAR image. The soil moisture inversion method of the invention breaks through the existing conventional method in which the soil moisture of all different regions is inverted using a single inversion equation. The soil moisture inversion method of the invention has wider applicability. In addition, the influence of effective soil temperature and soil texture on the backward scattering coefficient is considered, and the inversion precision of soil moisture can be improved effectively.

Description

technical field [0001] The invention belongs to the technical field of microwave remote sensing, and in particular relates to a soil moisture inversion method and device for bare ground in arid and semi-arid regions based on high-resolution SAR images. Background technique [0002] Soil moisture retrieval has always been a hot spot in microwave remote sensing. In the existing literature, researchers have done a lot of research on how to improve the accuracy of soil moisture retrieval. At present, there are mainly the following remote sensing methods for soil moisture monitoring: [0003] l. Visible light-near infrared remote sensing to monitor soil moisture; [0004] 2. Thermal infrared remote sensing to monitor soil moisture; [0005] 3. Passive microwave remote sensing to monitor soil moisture; [0006] 4. Radar remote sensing monitors soil moisture. [0007] Nowadays, radar remote sensing is the most widely used to monitor soil moisture. In this regard, many scholars...

Claims

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Application Information

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IPC IPC(8): G01S13/90G01N23/20
CPCG01N23/20G01S13/90G01S13/9027G01S13/9076
Inventor 韩玲陈鲁皖秦小宝张武顾俊凯
Owner CHANGAN UNIV
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