【作者】 云丽丽； 栾庆书； 金若忠； 马冬菁；

【Author】 Yun Li-li Luan Qing-shu Jing Ruo-zhong Ma dong-jing (Liaoning Academy of Forestry Science, Liaoning Shenyang 110032)

【机构】 辽宁省林业科学研究院；

【摘要】 本文以辽宁省西部地区油松林为例,根据当地物候特征和油松毛虫的生物学特性,选取了不同时相的三期TM影像,进行了松毛灾害前后油松林受害程度的调查。结合GIS专题信息图,比较分析了油松毛虫灾害前后油松林的生长特征和光谱特征,计算出7种植被指数和TM4在松毛虫害发生后油松的光谱值,得出TM4、TM4/TM3、TM(4-3)/TM(4+3)是监测松毛虫害的特征指数。根据雷莉萍等(1995)构建的遥感监测模式,建立了油松毛虫遥感监测模型,经现地检验检验,平均精度达到85.67%。更多还原

【Abstract】 Taking the stands of Pinus tabulaeformis in west Liaoning Province as an example, based on the local climate and the biological characteristics of Chinese pine caterpillars, 3 periods of different TM imagery were selected and the investigation for damage situation of Pinus tabulaeformis were conducted before and after damage emergence. Combining GIS data and phonological information, Contrasting the growth and spectrum characteristics of the stands between before the damage and after the damage, 7 types of vegetation index and the spectrum values occurred after damage for TM4 imagery were figured out. The imagery of TM4, TM4/TM3, TM (4-3)/TM (4+3) were proved to be character index for monitoring Chinese pine caterpillars, which accorded with the monitoring mechanism.Setting up monitoring model for Chinese pine caterpillars damage by TM Imagery,the monitoring accuracy is 85.67%.更多还原