【摘要】 以福建沙县为研究区,基于MODIS遥感数据,运用植被指数NDVI、RVI和红边参数分析马尾松毛虫灾害范围和程度。结果表明:MODIS数据对严重受灾区域较为敏感;比较多时相各指数受灾前后变化,其变化趋势一致,各指数值增加表明未受马尾松毛虫危害,而其下降则表明是受灾区域,其中以RVI值变化幅度最大;结合地面数据,找出不同虫害程度的各指数临界值,确定不同受灾程度的面积,其中以RVI分析马尾松毛虫灾害的准确度最高。更多还原

【Abstract】 Dendrolimus punctatus is one of the major pests to Pinus massoniana,and it can break out into severe damage.Based on MODIS remote sensing data,the damaged range and degree of Dendrolimus punctatus in Shaxian County of Fujian Province were studied by means of a serial of vegetation indexes.The results showed that MODIS data were sensitive to seriously damaged area.The vegetation indices prior to and after the damage by D.punctatus showed that the change tendency of these indexes was consistent,the increase of these index values indicated that the Pinus massoniana forest was not infested,whereas the decrease of these index values corresponded to the damaged areas.RVI was the most sensitive one among these indexes.The critical values of these indices reflecting different damaged degree and corresponding forest area infested were determined by integrating MODIS remote sensing data and the ground survey data.It was showed that the analysis accuracy of Dendrolimus punctatus damage to Pinus massoniana forest by RVI was the highest among the studied vegetation indices.更多还原