分别利用水稻抽穗期归一化植被指数和比值植被指数反演了叶面积指数和生物量数据信息。
The test data had been participated in the whole classification process. The accuracy of interpreted information on rice planting area was more than 90%.
利用比值植被指数（RVI）分析法，与实地虫灾调查相结合，找出了受虫灾影响后不同灾害程度的RVI临界值，判对率为73%。
The ratio vegetation index(RVI)method is combined with field survey of insect pest to determine critical values of RVI for different degrees of disaster and the judgement accuracy reaches 73%.
利用比值植被指数（RVI）分析法，与实地虫灾调查相结合，找出了受虫灾影响后不同灾害程度的RVI临界值，判对率为73%。
The ratio vegetation index(RVI)method is combined with field survey of insect pest to determine critical values of RVI for different degrees of disaster and the judgement accuracy reaches 73%.
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