玉米种植范围，结合对植被茂密稀疏变化敏感的重归一化植被指数( ＲDVI) ，采用ＲDVI 均值和标准

差来反映玉米受虫害胁迫后生长变化情况，通过设置标准化阈值，利用决策树方法对玉米所受虫害胁

迫程度进行划分。结果表明，基于ＲDVI 划分玉米受害程度总体精度可达75%，说明ＲDVI 可作为监

测玉米受虫害迫害程度的指标。此外，通过分析开鲁地区生境因素，发现高温干旱的气象条件及较大

的虫源基数是该地区玉米受虫害严重的重要原因。

1 remote sensing image was used to extract the corn planting area one week after the pest outbreak，combined with the Ｒenormalized Difference Vegetation Index ( ＲDVI) ，which is sensitive to changes in dense and sparse vegetation，and the average ＲDVI value and standard deviation were used to reflect the growth changes of corn after being affected by pests． Furthermore，by setting standardized thresholds，the decision tree method was used to classify the degree of corn pest infestation． The results show that the overall accuracy of dividing corn damage based on ＲDVI can reach 75%，indicating that ＲDVI can be used as an indicator for monitoring corn damage． In addition，by analyzing the habitat factors in the Kailu area，it was found that high temperature and drought weather conditions and a large number of pest sources are important reasons for the serious damage to corn in this area．