Passive microwave soil moisture reality check method based on multi-source data type

A technology of authenticity inspection and soil moisture, which is applied in the field of authenticity inspection and precision improvement of heterogeneous low-resolution remote sensing products, and can solve the problems of lack of benefit and complex relationship between soil moisture and multi-source prior knowledge

Inactive Publication Date: 2016-08-24
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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Problems solved by technology

However, the relationship between these prior knowledge and soil moisture is very complicated. At present, most of them are based on simple correlation or regression statistics of a single parameter or multiple parameters, and most of them are limited to qualitative tests of changing trends. Comprehensive quantitative research is particularly lacking (Jia Yuhua, 2013)

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  • Passive microwave soil moisture reality check method based on multi-source data type
  • Passive microwave soil moisture reality check method based on multi-source data type
  • Passive microwave soil moisture reality check method based on multi-source data type

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Embodiment Construction

[0021] The method for authenticity testing of passive microwave soil moisture based on multi-source data types of the present invention will be further described below in conjunction with the accompanying drawings.

[0022] The field test was carried out in the Shenzhou research area of ​​Hebei Province. The yellow dots are the sample points on the ground, covering a 25KM passive microwave pixel range ( figure 1 ).

[0023] This study selected the domestic FY-3 soil moisture products and MODIS data in Shenzhou, Hebei Province in 2014, and constructed MODIS single-day NDVI products by introducing the Hants time series reconstruction method. As shown in Table 1, based on the single-day NDVI, single-day LST, and Albedo products, the FY-3 soil moisture and NDVI, LST, and Aibedo's fitting equation. The results showed that the correlation between FY-3 soil moisture and the three key parameters was significant. Considering the correlation coefficient and the simplicity of the regr...

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Abstract

The invention provides a passive microwave soil moisture reality check method based on a multi-source data type. According to the method, a high-precision soil moisture digital map is constructed with a down-scaling method and a hierarchical optimization sampling method based on MODIS (Moderate Resolution Imaging Spectroradiometer) data and ground measured data; a passive microwave remote sensing soil moisture product reality check method based on the multi-source data type is built; and reality check and evaluation of a domestic FY-3 soil moisture product are further performed. Through adoption of the passive microwave soil moisture reality check method, a remote sensing reality check subject theory and method can be enriched; the accuracy of a low-resolution soil moisture product can be increased; and the application value of the low-resolution soil moisture product in relevant industrial fields is increased.

Description

technical field [0001] The invention belongs to the field of authenticity inspection of satellite remote sensing, in particular to an authenticity inspection and precision improvement method for heterogeneous low-resolution remote sensing products. Background technique [0002] In view of the strong sensitivity to soil moisture and high time repeatability, passive microwave remote sensing data has become the main data source of land surface soil moisture remote sensing products, and has broad application prospects in global soil moisture monitoring. However, studies have shown that the soil moisture retrieval effect of spaceborne passive microwave remote sensing has not reached the expected accuracy (0.07cm3 / cm3 or 0.04cm3 / cm3), and the problems of low product accuracy and inconsistency between products are in conflict with the practical needs of "users". , which greatly limits the practical value of remote sensing products. As global climate change and land surface data as...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 王春梅顾行发余涛占玉林魏香琴谢勇李娟孙源方莉
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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