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出 处:《河南农业大学学报》2013年第1期16-20,共5页Journal of Henan Agricultural University
基 金:国家公益性行业(气象)科研专项项目(GYHY200906022;GYHY201006041)
摘 要:通过野外样点布设获取农学参数叶面积指数等,将河南省分为4个遥感生态区,经过数理统计分析,获得分区域的夏玉米叶面积指数指标;在MODIS遥感数据的基础上获取和观测时间一致的遥感参数,进行叶面积指数和归一化植被指数(NDVI)的相关分析.结果显示,NDVI和叶面积指数显著相关,则建立回归方程通过农学参数指标确定遥感指标,对处于不同发育期的不同区域采用不同指标划分夏玉米苗情等级,提高了监测精度.With ground agronomic parameters of population density and leaf area index obtained by setting field sample points. Henan Province is divided into 4 remote ecological zones. And regional summer maize leaf area indexes were obtained through statistical analysis. Combined with the MODIS remote sensing data, agronomic parameters and NDVI correlation analysis were conducted. The results showed that NDVI and leaf area index were significantly correlated (P 〈 0.05). Therefore, summer maize growth remote sensing index was established through the relationship between agronomic parameters and NDVI. And the precision of monitoring summer maize growth was improved by dividing into different areas.
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