High temperature and drought composite disaster monitoring and early-warning method and system

A high temperature and drought composite disaster monitoring and early-warning method, characterized in that, comprising the following steps:

• S1. data acquisition:
• acquiring soil moisture information observation data and ground observation station data by multi-source remote sensing information, meteorological observation and satellite images, and cleaning and preprocessing the data;
• S2. data extraction:
• performing fine analysis on the acquired data, extracting features of climatic data, and identifying internal correlation features and abnormality information of high temperature and drought events;
• S3. model establishment:
• establishing an early-warning and assessment model through coupled multi-source remote sensing information, meteorological observation and soil moisture information observation data, wherein the model is capable of accurately identifying time-space data features with multiple time scales, and improving the event identification precision and space resolution;
• S4:
• model training:
• training the model by historical climatic data, verifying the effect of the model by a verification set, and adjusting a hyper-parameter to improve the accuracy and generalization ability of the model;
• S5:
• model application:
• predicting future climatic data by the trained model, combining with a standardized yield variable, a crop disaster area, a meteorological drought index and abnormality information to obtain the trend and possibility of climate change, and sending early-warning information;
• and
• S6:
• early-warning start:
• starting a corresponding emergency response mechanism according to the early-warning information to perform resource allocation and disaster management.