Hyperspectral vegetation index monitoring method for wetland vegetation rhizosphere soil microorganisms

A rhizosphere soil and wetland vegetation technology, applied in the field of remote sensing technology, can solve the problems of limited research on microbial interactions

Active Publication Date: 2019-07-09
LIAONING NORMAL UNIVERSITY
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  • Abstract
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Problems solved by technology

Research on the interaction between vegetation and soil environmental microorganis

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  • Hyperspectral vegetation index monitoring method for wetland vegetation rhizosphere soil microorganisms
  • Hyperspectral vegetation index monitoring method for wetland vegetation rhizosphere soil microorganisms
  • Hyperspectral vegetation index monitoring method for wetland vegetation rhizosphere soil microorganisms

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Embodiment 1

[0059] The method of the present invention is applied to the monitoring area of ​​Panjin Wetland in Liaoning Province, China. The geographical coordinates of Panjin Wetland are between 121°30′~122°00′ east longitude and 40°45′~41°10′ north latitude. Panjin Wetland belongs to the type of coastal wetland. It is a natural wetland dominated by reed swamps and intertidal tidal flats. It is the largest coastal reed wetland in China's high latitudes. According to the steps described in the specific embodiment of the present invention, the spatial distribution map of the number of microorganisms in the rhizosphere soil of the wetland vegetation in the monitoring area was obtained.

[0060] figure 1 It is the reflection spectrum curve of 42 sampling areas extracted from the hyperspectral remote sensing image HSI (Hyperspectral Imager) (note: the ordinate is the reflectance value enlarged by 10000 times).

[0061] Table 2 is a comparison of the evaluation indicators for estimating the...

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Abstract

The invention discloses a hyperspectral vegetation index monitoring method for wetland vegetation rhizosphere soil microorganisms. The method comprises the following steps: measuring the wetland vegetation rhizosphere soil microorganisms in a monitoring area; preprocessing the hyperspectral remote sensing image, including preprocessing of format conversion, absolute radiance value conversion, atmospheric correction and geometric fine correction; selecting an optimal hyperspectral vegetation index; and estimating the number of wetland vegetation rhizosphere soil microorganisms based on the optimal hyperspectral vegetation index. The beneficial effects of the invention are that: the method has the following beneficial effects: the method is suitable for industrial production; on the basis ofclose correlation between wetland vegetation and rhizosphere soil microorganisms of the wetland vegetation, the spatial distribution condition of the wetland vegetation rhizosphere soil microorganisms on the regional scale can be obtained, so that the limitation that the regional scale microbial community distribution change condition is difficult to obtain and long-term monitoring is carried outby a conventional molecular biological technology is favorably solved.

Description

technical field [0001] The invention belongs to the application field of remote sensing technology, and in particular relates to a method for monitoring wetland vegetation rhizosphere soil microbial hyperspectral vegetation index. Background technique [0002] The rhizosphere is an active interface for material exchange in plant-soil ecosystems and a unique habitat for microbial development. The rhizosphere exudates of plants attract microorganisms to gather and grow around the root system, and their types and quantities affect the metabolism, growth and development of rhizosphere microorganisms, which in turn affect the types, quantity and distribution of rhizosphere microorganisms. Studies have shown that the number of microorganisms in the rhizosphere is 19 to 32 times higher than that in the non-rhizosphere. Therefore, the rhizosphere region of plants is a dynamic environment, and rhizosphere microorganisms are the most active components in the soil ecosystem. [0003]...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/36G06K9/62
CPCG06V20/188G06V10/247G06V10/20G06F18/2411
Inventor 王莉雯卫亚星
Owner LIAONING NORMAL UNIVERSITY
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