Phyllostachys praecox forest degradation degree prediction method and electronic equipment

A technology of degradation degree and bamboo forest, applied in the field of remote sensing, can solve problems such as inability to analyze macroscopically

Pending Publication Date: 2022-08-09
杭州领见数字农业科技有限公司
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  • Abstract
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Problems solved by technology

[0007] The present invention aims to at least solve the problem in the prior art that it is impossible to quickly form a macroscopic analysis of a large area

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  • Phyllostachys praecox forest degradation degree prediction method and electronic equipment
  • Phyllostachys praecox forest degradation degree prediction method and electronic equipment
  • Phyllostachys praecox forest degradation degree prediction method and electronic equipment

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[0037] In order to understand the above objects, features and advantages of the present invention more clearly, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments may be combined with each other in the case of no conflict.

[0038] Many specific details are set forth in the following description to facilitate a full understanding of the present invention. However, the present invention can also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited by the specific details disclosed below. Example limitations.

[0039] Refer below figure 1 and figure 2 Some embodiments according to the invention are described.

[0040] refer to figure 1 The first aspect of the present invention provides a method for predict...

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Abstract

The invention provides a phyllostachys praecox forest degradation degree prediction method and electronic equipment based on phyllostachys praecox physiological parameters and remote sensing data products, and the method comprises the steps: determining the degradation degree of a quadrat region according to the parameter information of the quadrat region; acquiring remote sensing information of the quadrat area according to the latitude and longitude information of the quadrat area; training the initial phyllostachys praecox forest degradation degree prediction model according to the degradation degrees of the plurality of quadrat regions and remote sensing information to obtain a phyllostachys praecox forest degradation degree prediction model; and inputting remote sensing information of the target area into the phyllostachys praecox forest degradation degree prediction model to obtain a predicted degradation degree of the target area output by the phyllostachys praecox forest degradation degree prediction model. Thus, through the trained phyllostachys praecox forest degradation degree prediction model, the predicted degradation degrees of the multiple target areas can be obtained, and then macroscopic analysis can be quickly formed in a large-area range.

Description

technical field [0001] The invention relates to the field of remote sensing technology, in particular, to a method for predicting the degree of degradation of Phyllostachys edulis forest based on physiological parameters of Phyllostachys edulis and remote sensing data products. Background technique [0002] Leizhu has the characteristics of early shoots, long bamboo shoots, delicious bamboo shoots, high yield and good economic benefits. It is one of the main bamboo species in the bamboo shoot production areas of Zhejiang Province. Since the 1990s, the forest-covered bamboo shoot early-emergence technology has been applied on a large scale in some thunder bamboo production areas, producing off-season bamboo shoots, showing good economic benefits. In the early stage of mulching cultivation, the yield of bamboo shoots increased significantly, and the underground whip and the lateral buds on the whip could maintain a good structural condition. However, with the increase of mulc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/13G06V20/10G06V10/764G06K9/62G06Q10/04G06Q50/02
CPCG06V20/13G06V20/188G06V20/194G06V10/764G06Q10/04G06Q50/02G06F18/2413G06F18/214Y02A40/28
Inventor 周祖煜陈煜人张有珍林波张澎彬白博文莫志敏张浩李天齐刘俊
Owner 杭州领见数字农业科技有限公司
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