A Research Method for the Phenomena of Quercus Quercus Fruiting and Small Years Based on Remote Sensing Images

A technology of remote sensing images and oak trees, applied in the field of remote sensing applications

Active Publication Date: 2020-12-29
JIANGXI ACADEMY OF SCI
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of the present invention is, in order to solve the problem existing in the traditional method research on the phenomenon of Quercus japonica fruiting and size, the present invention proposes a research method based on remote sensing images

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  • A Research Method for the Phenomena of Quercus Quercus Fruiting and Small Years Based on Remote Sensing Images
  • A Research Method for the Phenomena of Quercus Quercus Fruiting and Small Years Based on Remote Sensing Images
  • A Research Method for the Phenomena of Quercus Quercus Fruiting and Small Years Based on Remote Sensing Images

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Embodiment Construction

[0026] The specific embodiment of the present invention is as figure 1 shown.

[0027] Such as figure 1 , the embodiment of the present invention includes the following steps:

[0028] (1) In the target area, select Quercus japonica trees with a reasonable distribution and a quantity that satisfies the statistical verification as ground sample points:

[0029] During the specific implementation, within the woodland range of the target area where Quercus japonica is the dominant species in the community, a number of Quercus japonica trees over 10 years old are uniformly selected for observation samples to ensure that the crown of each tree is not smaller than the spatial resolution of hyperspectral remote sensing images. rate, use GPS to record the geographical coordinates of each Quercus japonica sample, set up 5-8 fruit collectors around each Quercus japonica tree, and obtain the annual fruit yield (fruit setting) of Quercus japonica samples for 3 consecutive years (the min...

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Abstract

The invention provides a research method of a Quercus serrata Thunb biennial fruit-bearing phenomenon based on a remote sensing image. According to the method, with a hyperspectral remote sensing image as a data source, combined with the investigation of ground Quercus serrata Thunb fruits, a multivariate linear regression algorithm is applied, a Quercus serrata Thun fruit yield estimation model based on a Quercus serrata Thunb growth canopy reflection spectrum is established, the large-area prediction of Quercus serrata Thun fruit yield is carried out, and a G statistical magnitude is used toquantitatively analyze the heterogeneity of spatial distribution of the Quercus serrata Thunb biennial fruit-bearing phenomenon.

Description

technical field [0001] The invention relates to a research method for the phenomenon of fruit size and size of Quercus japonica based on remote sensing images, and belongs to the technical field of remote sensing applications. Background technique [0002] Quercus serrata is a common forest deciduous tree that grows in most provinces and regions of China. Its fruit is called acorn, which is an important food for forest animals such as squirrels and wild boars, and can also be used as a raw material for food industry. Quercus japonica produces more fruit in one year (called a big year) and less in a year (called a small year), that is, the phenomenon of large and small fruit years, which has an important impact on the dynamics and spatial distribution of forest animal populations. Traditional research methods on the phenomenon of tree fruiting and size are mostly based on field survey data or simulation models. Field surveys are time-consuming and laborious and limited to a s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G01N21/25
CPCG01N21/25G01N2021/1793G06T7/0002G06T2207/10036G06T2207/30188
Inventor 姚忠辛在军吴永明游海林
Owner JIANGXI ACADEMY OF SCI
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