Drought index monitoring method and system based on deep learning

Abstract

The invention provides a drought index monitoring method and system based on deep learning, and the method comprises the steps: obtaining the observation data of a monitoring station, and obtaining the corresponding parameter information based on the observation data; respectively carrying out data processing on each piece of parameter information to obtain preprocessed data respectively corresponding to each piece of parameter information; performing data fusion on the preprocessed data and auxiliary data corresponding to the observation data, and constructing a data set based on the fused data, wherein the data set comprises a training set and a test set; training and testing the deep neural network model based on the training set and the test set until the deep neural network model converges within a preset range, and forming a drought index monitoring model; and monitoring the drought index of the to-be-detected area based on the drought index monitoring model. According to the invention, the drought condition can be identified more comprehensively, and the accuracy of drought condition monitoring is improved.

Description

technical field [0001] The present invention relates to the technical field of drought monitoring, and more specifically, to a method and system for monitoring drought index based on deep learning. Background technique [0002] Drought has the characteristics of high frequency, long duration, and wide range of influence, which can potentially affect water resources, land resources, and people's lives, and seriously affect the national economy, especially agricultural production. It is the largest natural disaster in my country and the world One, it has attracted the attention of governments and scientific researchers in various countries. Whether timely and accurate monitoring of drought is crucial to prepare for drought and reduce the risk of drought. [0003] At present, in order to monitor, evaluate and study the occurrence and development of drought, scholars at home and abroad have proposed various drought indices. Among them, the Vegetation Drought Response Index (VegD...

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Problems solved by technology

[0005] In view of the above problems, the purpose of the present invention is to provide a drought index monitoring method and system based on deep learning to solve the problems of poor representativeness in current drought monitoring and the inability to realize dynamic monitoring of large-scale drought disasters, etc.

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