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Optimization method of variogram model in spatio-temporal estimation of forest site index

A variation function and site index technology, applied in design optimization/simulation, electrical digital data processing, CAD numerical modeling, etc., can solve problems such as costly, time-consuming, difficult forest site index estimation and spatial analysis, etc. Achieve the effect of ensuring effective prediction, improving accuracy and reliability, and reducing human subjective factors

Active Publication Date: 2021-12-28
XINJIANG AGRI UNIV
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Problems solved by technology

[0004] Forest site index is a generally accepted method for evaluating forest site quality. However, due to technical limitations, traditional forest site index survey methods are difficult to estimate forest site index on a large scale because of their long time and high cost. Geometry and spatial analysis, geostatistics combined with geographic information system technology provide a new way for the study of forest site and spatial pattern

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  • Optimization method of variogram model in spatio-temporal estimation of forest site index

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[0061] The present invention is described in further detail below in conjunction with specific embodiments:

[0062] The block diagram of the research technology route of the correlation between the main research contents of the present invention is as follows: figure 1 shown.

[0063] A variation function model optimization method in forest site index spatio-temporal estimation, comprising the following steps:

[0064] (1) Select computer equipment, use computer to establish a reliable site index variogram model optimization method, to ensure the effective combination of finalization and quantification of variogram selection;

[0065] The preferred method of the site index variogram model is specifically:

[0066] ①Choose the typical distribution area of ​​Tianshan spruce in the central part of the Tianshan Mountains (Xinjiang Agricultural University Practice Forest Farm in the central part of the Tianshan Mountains) as the experimental area, considering factors such as dif...

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Abstract

The present invention discloses a variation function model optimization method in forest site index spatio-temporal estimation, comprising the following steps: (1) using a computer to establish a reliable site index variation function model optimization method to ensure the finalization and quantification of variation function selection (2) Use the computer to construct a unified expression form of the multi-scale nested box model of the site index variogram and the computer automatic parameter optimal fitting method, and realize the function of the multi-scale nested model in the mainstream geostatistical software Extend the algorithm to ensure the effective prediction of the spatial interpolation algorithm; (3) use the computer to construct a site index spatiotemporal variogram model expression form, and then realize the Kriging spatiotemporal interpolation algorithm to improve the accuracy and reliability of spatiotemporal estimation. It can effectively reduce human subjective factors, effectively describe the anisotropy and multi-scale dependence of site index, ensure the effective prediction of spatial interpolation algorithm, and improve the accuracy and reliability of space-time estimation.

Description

technical field [0001] The invention relates to the technical field of forestry, in particular to a variation function model optimization method in the spatio-temporal estimation of the Tianshan spruce site index. Background technique [0002] The assessment of forest ecosystem site quality is an important theoretical basis and planning method for forest ecosystem management and afforestation, and is also an important content of forest ecosystem productivity research. [0003] Site is also called "habitat" in ecology, which refers to "the forest land environment and the vegetation type and quality on the forest land determined by the environment". More precisely, a site is a synthesis of the living space of forest or other types of vegetation and related natural factors. It is of great significance to scientifically classify site types and evaluate site quality in forest management. When formulating forest management plans, determining the goals and directions of forest ma...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F111/10G06F119/02
CPCG06F30/20
Inventor 朱静王博范辉建石砦李丹韩云飞鲁娜万江春张志勇
Owner XINJIANG AGRI UNIV
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