A forest fire warning model-using time decay model to calculate comprehensive precipitation index

被引：0
|
作者：
Chen, Jiajun [1 ]
Wang, Xiaoqing [1 ]
Huang, Haifeng [1 ]
机构：
[1] Sun Yat Sen Univ, Sch Elect & Commun Engn, Guangzhou, Guangdong, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON ENVIRONMENTAL REMOTE SENSING AND BIG DATA (ERSBD 2021) | 2021年 / 12129卷
基金：
中国国家自然科学基金;
关键词：
Time Decay Model; Forest Fire Warning Model; SVM Regression Model; REGRESSION;
D O I：
10.1117/12.2625573
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Precipitation is an important factor that predicts the occurrence of forest fires in the future. This study uses a time decay model to calculate the comprehensive precipitation index, which is an exponential weight decay model. This method can better represent the effect of precipitation in predicting the occurrence of forest fires. Besides, this study used the Support Vector Machine (SVM) regression model to construct a forest fire warning model. In the same area, using the comprehensive precipitation index compared with the average precipitation, the accuracy of the three forest areas in the test set has been improved by approximately 5%.
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页数：9
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