基于MODIS-MOD09Q1数据的雅氏落叶松尺蠖灾区提取及其适生气候特征分析

Extraction of Eeannis jacobssoni disaster area based on MODIS-MOD09Q1 data and analysis of its adaptive climate characteristics

通过MODIS-MOD09Q1遥感数据,使用归一化植被指数(NDVI)、比值植被指数(RVI)和近红外波段反射率(NIR)3个易获取且与虫害发生程度具有响应的指标,划分灾区受害度等级植被指数的变化,构建虫害综合指数(PCI)模型,实现雅氏落叶松尺蠖(Eeannis jacobssoni)灾区信息快速提取。在此基础上,借助气温和降水量数据,结合GIS空间叠加分析方法,揭示了害虫适生气候特征。结果表明,利用虫害综合指数能够准确提取害虫灾区严重度信息,其总体精度和Kappa系数分别为85.00%和0.81;雅氏落叶松尺蠖适宜于冬季、春季降水量较少、夏季降水量较多,气温不宜太高的气候,这与其生物学特性相吻合。该气候与大兴安岭林区相似,入侵风险较大,应引起中国林业部门的高度重视。

Using MODIS-MOD09Q1 remote sensing data,three easily obtainable and responsive indicators,namely Normalized Dif-ference Vegetation Index(NDVI),Ratio Vegetation Index(RVI),and Near Infrared Reflectance(NIR),were used to classify the changes in vegetation index for the degree of damage in disaster areas,and a comprehensive pest index(PCI)model was constructed to achieve rapid extraction of information from the Eeannis jacobssoni disaster area.On this basis,with the help of temperature and pre-cipitation data,combined with GIS spatial overlay analysis method,the climate characteristics suitable for pest growth were revealed.The results showed that using the comprehensive pest index could accurately extract the severity information of pest disaster areas,with an overall accuracy and Kappa coefficient of 85.00%and 0.81,respectively;Eeannis jacobssoni was suitable for climates with less precipitation in winter and spring,more precipitation in summer,and temperatures that should not be too high,which was consistent with its biological characteristics.This climate was similar to the Greater Khingan Mountains forest area,with a high risk of invasion,and should be highly valued by the Chinese forestry department.