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Real time monitoring method of soil humidity

A soil moisture, real-time monitoring technology, applied in measurement devices, material analysis by optical means, instruments, etc., can solve the problems of not considering the influence of vegetation cover soil moisture, monitoring accuracy uncertainty, etc.

Inactive Publication Date: 2017-08-11
XIAN UNIV OF SCI & TECH
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Problems solved by technology

[0004] PDI and MPDI are basically based on a fixed soil background line, but the soil background line changes with changes in soil type, organic matter, mineral composition, vegetation cover, etc., resulting in uncertainty in monitoring accuracy; although SIMI and SMMI do not rely on However, the influence of vegetation coverage on soil moisture is not considered in the construction process. In areas with high vegetation coverage, vegetation has a strong scattering effect on visible light and near-infrared bands, which will produce SIMI and SMMI. greater impact

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Embodiment Construction

[0027] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0028] refer to Figure 1 to Figure 7 , a kind of soil moisture real-time monitoring method, comprises the following steps:

[0029] 1) Obtain remote sensing image data of the research area;

[0030] 2) Perform radiation correction, atmospheric correction and geometric correction preprocessing on the remote sensing image data in step 1), and obtain the reflectance data of the red light and near-infrared bands in the research area;

[0031] 3) According to the red light and near-infrared band reflectance data in step 2), obtain the normalized difference vegetation index data in the study area, and...

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Abstract

The invention relates to a real time monitoring method of soil humidity. The method comprises the following steps: remote sensing image data of a researched region is obtained; after radiation correction and atmospheric correction, real surface reflectance data of red light and near infrared wave band in the researched region is obtained; red light and near infrared wave band reflectivity is substituted into a calculating formula of NDVI, in order to obtain a research region NDVI image map; NDVImax and NDVImin are practically determined according to the researched region, the obtained NDVImax and NDVImin are substituted into a calculating formula of a vegetation coverage fv, and a fv image map of the researched region is obtained; red light and near infrared wave band reflectivity as well as fv are substituted into correction type soil humidity monitoring index MSMMI calculating formula, in order to obtain MSMMI image map of the researched region; soil humidity status of the researched region is quantitatively analyzed according to MSMMI value size. The method is suitable for researching soil humidity space-time distribution characteristics and rules in the condition of vegetation cover, and improves the case that influence of vegetation cover on soil humidity monitoring index SMMI during monitoring of soil humidity is not considered.

Description

technical field [0001] The invention relates to the technical field of soil detection, in particular to a method for real-time monitoring of soil moisture. Background technique [0002] Soil moisture is an important environmental factor connecting land surface water resources, and participates in processes such as hydrology, meteorology and agricultural production as an important parameter. Changes in soil moisture have profound effects on surface energy balance, regional runoff, and vegetation production. With the rapid development of remote sensing technology, remote sensing monitoring of soil moisture has become the focus of research at home and abroad. Remote sensing methods for monitoring soil moisture include thermal inertia method, vegetation index method, temperature vegetation drought index method, microwave method, spectral feature space method, etc. Among them, the spectral feature space method based on near-infrared (NIR)-red light (Red) is It is easy to operat...

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Application Information

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IPC IPC(8): G01N21/17G01N21/359
Inventor 刘英
Owner XIAN UNIV OF SCI & TECH
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