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1987年5月我国大兴安岭地区发生特大森林火灾。火灾期间,应用TM图像实时监测火情取得良好效果。灾后对过火区继续进行监测,通过灾前、灾中、灾后TM图像的数值分析、对比,变换处理及目视判读,查明不同受害程度地区林木恢复与生态环境变化均有所不同。松毛虫害是近年松林的主要灾害。本文概述安徽省全椒县孤山林场应用TM图像监测松毛虫害的试验研究结果,表明只要图像时相选择恰当,并采取各种排除干扰信息,突出有用信息的图象应用处理方法,可以相当准确地把重害、轻害和基本无害区自动识别区分出来。
In May 1987, there was a big forest fire in Daxinganling area. During the fire, real-time monitoring of the fire using TM images achieved good results. After the disaster, the over-fire area was continuously monitored. Through the numerical analysis, comparison, transformation and visual interpretation of TM images before, during and after the disaster, it was found that the forest restoration and the change of the ecological environment were different in different damage areas. Pine caterpillar damage is the main disaster in recent years. This paper summarizes the experimental results of TM image monitoring of pine caterpillars in Gushan Forest Farm, Quanjiao County, Anhui Province. The results show that as long as the image phase selection is appropriate and various kinds of image processing methods that exclude the interference information and highlight the useful information can be used, Accurate distinction between harm and harm and the basic recognition of harmless area distinguish.