Prediction method and system for vegetation wide-range regionalization negative anomaly
The invention discloses a vegetation large-range regionalization negative anomaly prediction method and system, and the method comprises the steps: carrying out the meshing of a research region, and extracting a time sequence of a parameter W, reflecting a vegetation state, of each grid point; prepr...
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| creator | REN LILIANG LIU YI ZHANG XINYU ZHU YE SHI RUIGUANG MA QIANG YANG ZIRUI ZHANG LINQI |
| description | The invention discloses a vegetation large-range regionalization negative anomaly prediction method and system, and the method comprises the steps: carrying out the meshing of a research region, and extracting a time sequence of a parameter W, reflecting a vegetation state, of each grid point; preprocessing each lattice point sequence; calculating the number of synchronism negative anomalies among the grid points to obtain synchronism data of negative anomalies among the grid points; judging whether the occurrence of the negative abnormal event among the grid points has synchronism or not according to the synchronism data; and screening a grid point set having synchronism with the to-be-predicted grid point in the region, and predicting a future parameter W negative abnormal event of the to-be-predicted grid point according to the time sequence of the parameter W negative abnormal event of each grid point in the grid point set. According to the method, synchronism consideration is introduced into prediction o |
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According to the method, synchronism consideration is introduced into prediction o</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Prediction method and system for vegetation wide-range regionalization negative anomaly |
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