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Forest land drought risk early warning method

A risk warning and drought disaster technology, applied in neural learning methods, biological neural network models, design optimization/simulation, etc., can solve problems such as less research on drought risk early warning, and achieve the effect of low losses

Pending Publication Date: 2021-07-20
CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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Problems solved by technology

However, at present, most scholars have done more research on drought monitoring, but less research on drought risk early warning, and all of them are large-scale (monthly, seasonal, annual) predictions of drought.

Method used

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  • Forest land drought risk early warning method
  • Forest land drought risk early warning method
  • Forest land drought risk early warning method

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Embodiment Construction

[0034] The present invention will be further described below through specific examples to help better understand the present invention, but the protection scope of the present invention is not limited to these examples. The specific steps of the present invention and their application in practice are introduced below.

[0035] Data and Preprocessing

[0036] The research area of ​​this example is Hunan Province, and the research data include the independent variables and dependent variables of the model. The independent variables of the model mainly include MODIS data from 2009 to 2019, Tropical Rainfall Measurement Mission (TRMM) data from 2009 to 2019, and terrain data, spatial distribution data of vegetation types, etc.

[0037] The MODIS data is obtained from the MODIS level 1B data of the Terra satellite through radiometric calibration, projection transformation, geometric correction and resampling to obtain the surface temperature data set and normalized vegetation inde...

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Abstract

The invention relates to drought risk early warning, and in particular relates to a forest land drought risk early warning method. The scheme comprises the following steps: (1) selecting data and preprocessing; (2) constructing a forest land drought risk early warning index system; and (3) constructing a forest land drought risk early warning model. According to the method, the forest land drought risk early warning model is established based on a PSO-BP neural network algorithm by using the remote sensing data, day-by-day early warning of forest land drought is realized, and scientific configuration of disaster prevention and reduction emergency resources is facilitated.

Description

technical field [0001] The invention relates to a drought risk early warning method, in particular to a woodland drought risk early warning method. Background technique [0002] Forests are the main body of terrestrial ecosystems, and forest land drought is very harmful, and has become one of the serious climate disasters that affect vegetation growth. Early warning of drought risk is very important. With the development of remote sensing technology, the application prospect of remote sensing technology to monitor drought is becoming more and more mature. In "Research on Drought Remote Sensing Monitoring and Early Warning in Agricultural Areas in Eastern Qinghai Province", Wei Jie comprehensively considered meteorological data and MODIS remote sensing data to establish a drought index model for drought monitoring. Monthly drought monitoring and early warning in the study area is basically feasible. According to the relationship between NDVI and SIF in "Research on Agricult...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/04G06N3/08
CPCG06F30/27G06N3/084G06N3/044
Inventor 谭三清张贵程江涛肖化顺
Owner CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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