Cosmic ray neutron instrument spatial feature simulation method combined with remote sensing data

A technology of cosmic rays and spatial characteristics, applied in the field of measurement technology promotion, can solve the problem of not being able to show differences in soil moisture distribution

Active Publication Date: 2021-07-06
CHINA INST OF WATER RESOURCES & HYDROPOWER RES
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Problems solved by technology

In fact, due to the different underlying surface conditions in the measurement source area, the soil moisture has obvious spatial heterogeneity in the region, and the difference in the spatial distribution of soil moisture cannot be revealed only by instrumental measurement, which restricts the cosmic ray neutron method to a certain extent. In the accurate measurement and application of soil moisture, it is necessary to carry out the simulation of its spatial characteristics in combination with the influencing factors of the underlying surface

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  • Cosmic ray neutron instrument spatial feature simulation method combined with remote sensing data
  • Cosmic ray neutron instrument spatial feature simulation method combined with remote sensing data
  • Cosmic ray neutron instrument spatial feature simulation method combined with remote sensing data

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[0047]Exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be understood that the implementations shown and described in the drawings are only exemplary, intended to explain the principle and spirit of the present invention, rather than limit the scope of the present invention.

[0048] An embodiment of the present invention provides a method for simulating the spatial characteristics of a cosmic ray neutron instrument combined with remote sensing data, such as Figure 1 ~ Figure 2 Commonly shown, including the following steps S1-S4:

[0049] S1. Collect the observation data of the cosmic ray neutron instrument, and collect the Landsat 8 surface reflectance data during the observation period according to the measurement range and time of the cosmic ray neutron instrument. In the embodiment of the present invention, the observation data and Landsat8 surface reflectance data are obtained by downloa...

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Abstract

The invention discloses a cosmic ray neutron instrument spatial characteristic simulation method combined with remote sensing data, and aims to solve a problem that a cosmic ray neutron method is difficult to reflect spatial heterogeneity in soil moisture measurement. The method comprises the following steps of calculating a normalized vegetation index and surface temperature by using Landsat8 remote sensing data; the invention provides a soil moisture content horizontal direction parameter correction method considering underlying surface condition factors such as surface vegetation and surface temperature, and combines neutron footprint characteristics of a cosmic ray neutron detector and soil types to simulate soil moisture vertical correction parameters; so soil moisture three-dimensional space distribution characteristic simulation within the observation range of the cosmic ray neutron detector is achieved, the precision degree of soil moisture observation of the cosmic ray neutron detector is improved, the soil moisture space distribution difference in a measurement area is objectively reflected, and a foundation is laid for soil moisture remote sensing authenticity inspection.

Description

technical field [0001] The invention belongs to the technical field of measurement technology popularization, and in particular relates to the design of a method for simulating space characteristics of a cosmic ray neutron instrument combined with remote sensing data. Background technique [0002] Soil moisture is a key parameter in the water cycle, energy cycle, and biogeochemical cycle. The current ground observation methods of soil moisture are divided into point observation and surface observation according to the spatial representation of the observation data. The observation results of point observation are spatial point data, and the spatial representativeness is small, so it is difficult to accurately describe the spatial distribution of soil moisture. The main methods are drying weighing method, tensiometer method, neutron meter method and dielectric property method. The observation results of surface observation can realize the spatial continuity observation of soi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F17/18
CPCG06F30/20G06F17/18
Inventor 庞治国江威覃湘栋吕娟付俊娥路京选杨昆李琳李小涛曲伟宋文龙冯天时
Owner CHINA INST OF WATER RESOURCES & HYDROPOWER RES
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