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County scale forest pest and disease damage prediction method based on spatial heterogeneous characteristics

A technology of spatial heterogeneity and prediction method, which is applied in the field of spatial data analysis and processing and agronomy, can solve the problems such as the impact of forest diseases and insect pests, and cannot accurately reflect the impact of different environmental factors, so as to overcome regional differences and environmental factor space. Heterogeneity, the effect of fine information output

Inactive Publication Date: 2021-03-09
BEIJING FORESTRY UNIVERSITY
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Problems solved by technology

This prediction method usually ignores the regional differences in the distribution of pests and diseases and the spatial heterogeneity of environmental factors. The estimated parameters of the model are the average values ​​of the entire study area, which cannot accurately reflect the different effects of environmental factors on the occurrence of pests in different regions. The impact of the interaction of environmental elements on the occurrence of forest diseases and insect pests has not been considered yet.

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  • County scale forest pest and disease damage prediction method based on spatial heterogeneous characteristics
  • County scale forest pest and disease damage prediction method based on spatial heterogeneous characteristics
  • County scale forest pest and disease damage prediction method based on spatial heterogeneous characteristics

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Embodiment Construction

[0028] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0029] At present, medium-resolution remote sensing data has been able to revisit and completely cover the land surface in most regions of the world in a relatively short period of time, and provide surface reflection information in the visible light, near-infrared, and thermal infrared bands, which can be used for remote sensing reflection of vegetation index and other parameters. Demonstration provides data guarantee. Secondly, the development of forestry informatization has provided technical support for the monitoring of forest diseases and insect pests at the county level, making it possible to have detailed and perfect data on the disaster situation of forest disease...

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Abstract

The invention relates to the technical field of spatial data analysis and processing and agronomy, and discloses a county scale forest pest and disease damage prediction method based on spatial heterogeneous characteristics. According to the invention, county-scale pest disaster data, social and economic elements and climatic and environmental element data are combined with the GWR model to be comprehensively applied to pest prediction, so that the defect that a traditional pest prediction model ignores regional differences of pest distribution and spatial heterogeneity of environmental factors is overcome, and finer and more accurate information output is provided for disease and pest prediction.

Description

[0001] 1. Technical field [0002] The invention relates to the fields of spatial data analysis and processing and agronomy, in particular to a method for predicting forest diseases and insect pests at the county scale based on spatial heterogeneity features. [0003] 2. Technical Background [0004] Forest pests and diseases are important biological disasters in forestry production, which can cause devastating damage to forests and easily cause disputes between regions, seriously threatening the forestry production, ecological environment and economic development of affected countries. According to statistics from the Forest Pest Control Center of the State Forestry Administration, from 1996 to 2001, the national forest pests and diseases caused an annual loss of about 88 billion yuan in my country. Forest pest control is an important part of the national disaster reduction project. In order to reduce or control forest pests, it is necessary to provide technical support for ea...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26G06F17/18
CPCG06Q10/04G06Q50/26G06F17/18
Inventor 黄季夏阮琳琳方国飞周艳涛
Owner BEIJING FORESTRY UNIVERSITY
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