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Remote sensing inversion method for soil moisture based on improved two-channel algorithm

A technology of soil moisture and remote sensing inversion, which is applied in the field of soil moisture remote sensing inversion, and can solve problems such as reducing inversion accuracy

Inactive Publication Date: 2017-05-31
BEIJING NORMAL UNIVERSITY
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Problems solved by technology

Further studies by Yilmaz, Jackson and Chan pointed out that the parameters of vegetation water content in the passive microwave remote sensing soil moisture retrieval algorithm should include leaf water content and stem water content, while the Jackson algorithm only calculates the water content of vegetation leaves, reducing the final Inversion accuracy

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  • Remote sensing inversion method for soil moisture based on improved two-channel algorithm
  • Remote sensing inversion method for soil moisture based on improved two-channel algorithm
  • Remote sensing inversion method for soil moisture based on improved two-channel algorithm

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Embodiment Construction

[0041] The improved dual-channel algorithm is mainly composed of three parts: calculating the effective surface temperature, correcting the vegetation effect based on the vegetation water content to obtain the rough surface emissivity, and correcting the roughness effect to calculate the soil moisture, such as figure 1 shown. The following first introduces the theoretical basis of the improved dual-channel algorithm—the passive microwave radiation transfer equation, and introduces each step of the improved dual-channel algorithm in detail.

[0042] Passive Microwave Radiative Transfer Equation

[0043] The core of all physical model algorithms based on passive microwave remote sensing to retrieve soil moisture is the passive microwave radiation transfer equation. Atmospheric contribution is negligible and the atmospheric opacity is very low in microwave low frequency bands (L-band, C-band and X-band). For the vegetation-covered surface, the zero-order radiative transfer mode...

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Abstract

The invention relates to a remote sensing inversion method for soil moisture based on an improved two-channel algorithm. According to the remote sensing inversion method, a calculation method for the water content of a Jackson vegetation in a two-channel algorithm is improved, the content of caulome of the vegetation is calculated by virtue of a Chan method based on the calculation of the leaf water content of the vegetation, then a vegetation effect is corrected, and the improved two-channel algorithm is disclosed for the first time. Soil moisture on the surface layer of a research area is inverted by virtue of brightness temperature data of an AMSR-E10.65GHZ dual-polarization channel, VWC is used and calculated, then the vegetation effect is corrected, and the inversion precision of the soil moisture is improved, so that the precision higher than that of the two-channel algorithm is realized.

Description

technical field [0001] The invention relates to the field of soil moisture remote sensing inversion, in particular to a soil moisture remote sensing inversion method based on an improved dual-channel algorithm. Background technique [0002] Soil moisture is a key factor affecting the earth's land surface water cycle, controlling the water and energy cycle between the land and the atmosphere, which in turn has an important impact on weather and climate. Soil moisture is not only closely related to the exchange of matter and energy between the hydrosphere, the atmosphere and the biosphere, but also plays a key role in the conversion of surface energy to latent and sensible heat. Soil moisture has an important effect on river runoff, groundwater flow, and rainfall by controlling the conversion ratio of precipitation to infiltration and runoff. Therefore, soil moisture plays an indispensable role in various processes and feedback mechanisms of the earth system, and real-time an...

Claims

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Application Information

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IPC IPC(8): G01N33/24
CPCG01N33/246
Inventor 宫阿都吕潇然尹晓天李静陈艳玲王静梅
Owner BEIJING NORMAL UNIVERSITY
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