摘要
本文介绍了利用虫害年度的多时相ＮＯＡＡ－ＡＶＨＲＲ图像数据计算监测区归一化差植被指数（ＮＤＶＩ），结合收集到的监测区的马尾松毛虫害历史资料来进行森林病虫害监测和预报的研究成果。从统计编制的分区ＮＤＶＩ时间序列变化曲线的对比来看，虫害区与非虫害区ＮＤＶＩ曲线具有一定的时序变化特征，对监测虫害有一定作用，也显示了ＮＯＡＡ－ＡＶＨＲＲ资料在森林病虫害监测预报方面有一定应用前景。
Using multi-temporal NOAA-AVHRR data, combine with historical data, this paper deals with how to use NDVI to monitor and forecast pest which mainly caused by pine caterpillar moth (Dendrolimus punctatus walker). First, geometric correction and registration for the images were made; Second, through extracting image data and rejecting cloud contamination pixels in monitor regions, all monitor regions were separated into different districts according to the features of geography and climate, then every district was separated into pest injury and non-injury areas; At last, NDVI values of every pixels were computed, the statistic values about two areas were computed and time-series curves of NDVI statistics about two areas were compared. It was discovered that time-series curves of NDVI average value can be used to monitor forest pest happening, time-series curves of NDVI variation coefficient can be used to forecast. In the end, the paper provids the prospect of using NOAA-AVHRR images to monitor and forecast forest pest injury.
出处
《国土资源遥感》
CSCD
1997年第4期7-13,共7页
Remote Sensing for Land & Resources
关键词
马尾松毛虫
监测预报
植被指数
时间序列
森林
NOAA-AVHRR image Dendrolimus punctatus walker Monitor-forecasting Vegetation index Time-series analysis
