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目的 :分析美国国家海洋与航空管理局 甚高分辨率辐射计 (NOAA AVHRR)遥感卫星图像中植被指数与伊蚊密度之间的关系 ,探索AVHRR遥感卫星图像在大范围伊蚊种群监测的应用可能性 ,为建立伊蚊分布遥感预测模型提供理论依据 .方法 :利用广东省 1995年度实地监测到的各地伊蚊密度 ,计算出各市县每月的平均伊蚊密度 ,并以各市县的中心点经纬度在ArcGIS8.1软件上制作伊蚊分布“vector”图层 ;利用ERDAS8.5软件空间模块中图层间信息添加功能 ,通过1995年度伊蚊密度分布“vector”图层 ,从AVHRR卫星图像中提取各伊蚊点植被指数 .以相关性分析及多元逐步回归分析研究植被指数与伊蚊分布间的关系 .结果 :广东省流行季节与非流行季节的标准化植被指数 (normalizeddifferencevegeta tionindex ,NDVI)存在明显差异 ,且流行季节的最大标化植被指数 (NDVIMax e)、平均标化植被指数 (NDVIMean e)、最小标化植被指数 (NDVIMin e)要大于非流行季节的最大标化植被指数 (NDVIMax ne)、平均标化植被指数 (NDVIMean ne)、最小标化植被指数 (NDVIMean ne) (P <0 .0 1) ;相关分析表明 ,与伊蚊密度相关的植被指数有 7,8,9,10和 12mo的最大NDVI,3,7,11和 12mo的平均NDVI和 11mo的最小NDVI ,(P <0 .0 1) ;且有 :^YBI=- 14 86 5 +0 .6
OBJECTIVE: To analyze the relationship between vegetation index and Aedes albopictus density in NOAA AVHRR remote sensing satellite imagery and to explore the potential application of AVHRR remote sensing satellite imagery in large-scale Aedes mosquito population monitoring And provide a theoretical basis for the establishment of remote sensing prediction model of Aedes aegypti.METHODS: According to the density of Aedes mosquitoes collected from Guangdong Province in 1995, the monthly average Aedes mosquito density was calculated, and the latitude and longitude The “vector” layer of Aedes mosquitoes was produced on ArcGIS8.1 software. Extracted from the AVHRR satellite image by using the “vector” layer of Aedes mosquito density distribution in 1995 by using the information added between layers in ERDAS8.5 software space module The correlations between Aedes albopictus and Aedes albopictus were studied by correlation analysis and multivariate stepwise regression analysis.Results: There was a significant difference in normalized difference index (NDVI) between epidemic season and non-epidemic season in Guangdong Province , And NDVIMax e, NDVIMe e, , NDVIMin e was greater than that of NDVIMax ne, NDVIMean ne and NDVIM ne ne in the non-seasonal seasons. The correlation analysis showed that the NDVI related to Aedes albopictus density had the maximum NDVI at 7, 8, 9, 10 and 12 months, the average NDVI at 3, 7, 11 and 12 months and the minimum NDVI at 11 months (P <0 .0 1); and have: ^ YBI = - 14 86 5 +0 .6