云南松林纵坑切梢小蠹灾害遥感监测的初步研究

Preliminary Study on Remote Sensing Detection of Yunnan Pine Forest Damaged by Tomicus piniperda

以云南省曲靖市沾益、陆良县遭受纵坑切梢小蠹危害的云南松林为样区,应用NOAA/AVHRR、LandsatTM、CBERS-1 CCD和EOS/MODIS 4种卫星遥感数据,对其受纵坑切梢小蠹的重度危害区和健康林分进行了光谱信息的分析。据此,初步提出了两种监测模型,差变率(DR)模型和灾害指数(DI)模型,可用于区分典型的云南松健康林分和遭受纵坑切梢小蠹重度危害的林分。表明若DR值较大,云南松林的健康状况较好;反之DI值越大,林分受到纵坑切梢小蠹危害的程度越重。

Yunnan pine forest damaged by Tomicus piniperda in Zhanyi County and Luliang County were selected as sample areas. It analyzed spectral information of heavy damaged area and the healthy forest area using four types of satellite remote sensed data, NOAA/AVHRR, Landsat TM, CBERS - 1 CCD and EOS/MODIS. Two detection models named Difference Rate （DR） model and Disaster Index （DI） model were put forward. Healthy and heavy damaged forests of Yunnan pine can be distinguished by these models. If DR was bigger, Yunnan pine forest grew healthier. Greater DI was, Yunnan pine forest was stricken by Tomicus piniperda more badly.