Regional vegetation index driving factor analysis method and device and storage medium

A technology of driving factors and analysis methods, applied in the field of data processing, can solve problems such as difficulty in meeting accuracy requirements and low accuracy of results

Pending Publication Date: 2020-06-09
NANJING FORESTRY UNIV +1
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0006] The purpose of the embodiments of the present application is to provide a driving factor analysis method, device and storage medium for regional vegetation indicators, so a...

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  • Regional vegetation index driving factor analysis method and device and storage medium
  • Regional vegetation index driving factor analysis method and device and storage medium
  • Regional vegetation index driving factor analysis method and device and storage medium

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Embodiment Construction

[0031] The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

[0032] It should be noted that like numerals and letters denote similar items in the following figures, therefore, once an item is defined in one figure, it does not require further definition and explanation in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second" and the like are only used to distinguish descriptions, and cannot be understood as indicating or implying relative importance.

[0033] At present, the existing solutions usually analyze the driving factors of the whole (or combined data) without clustering. However, through the above methods, it is often encountered that the accuracy of the results is low, it is difficult to meet the accuracy requirements, and the overall data is not suitable. clustering and recombination to achieve mo...

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Abstract

The invention discloses a regional vegetation index driving factor analysis method and device, and a storage medium. The method comprises the following steps of obtaining vegetation index data of a research region and at least two kinds of driving factor data of vegetation indexes; performing local space autocorrelation analysis on the vegetation index data to obtain an analysis result containingmultiple clustering types; according to a preset combination rule, combining the different clustering types to obtain at least one combined clustering type; and performing importance analysis on the driving factors of the vegetation indexes belonging to each combined clustering type in the at least one combined clustering type by utilizing a random forest model. By means of the technical scheme, the analysis precision of the driving factors can be improved through the partially combined clustering types obtained after recombination, so that the precision requirement is met, and the driving factor analysis result of the specific and important clustering types is extracted from the whole.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular, to a method, device and storage medium for analyzing driving factors of regional vegetation indicators. Background technique [0002] Among vegetation ecological indicators, take vegetation net primary productivity (Net Primary Productivity, NPP) as an example. It is the basis of the structure and function of plant ecosystems, and is an important data for studying the carbon sequestration capacity of vegetation. The key elements of the source process are the main parameters used to characterize the response to global changes, and can also be used as an important reference index to assist government decision-making and analyze the degree of economic development. [0003] In view of the characteristics of vegetation index data in different types of regions, their driving factors, and the complexity of the relationship between different driving factors, an appropriat...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/23G06F18/24323
Inventor 宋立奕李明阳郭颖徐海赵斌艾畅吴学卷冯陆春徐延鑫
Owner NANJING FORESTRY UNIV
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