摘要： 小麦的产量受品种、光照、昼夜温差、降水、病虫害等自然灾害和耕地面积等综合因素的影响.通过小麦不同品种、 不同灌溉方式、不同播种方式在小麦整个生育期的监测,研究小麦在不同的生长环境下建立与小麦的产量关系尤为重要.小麦冠层归一化植被指数(NDVI)以及比值植被指数(RVI)的变化情况,可利用主动遥感仪器-Green Seeker进行检测. 对测量数据进行筛选,建立回归模型,解析小麦冠层植被指数与产量的变化规律,寻找基于NDVI和RVI与小麦产量的最佳估算模型,并验证小麦产量预测模型的有效性,对小麦产量预测的公式进行分析.

关键词: Green Seeker, 归一化差值植被指数, 比值植被指数, 产量预测模型

Abstract: The yield of wheat is comprehensively influenced by breeds,light,daily temperature swings,precipitation,plant diseases and insect pests or other natural disasters and agricultural acreage.Monitoring the whole growth period of wheat by different varieties,different irrigation methods and different sowing methods.Therefore,it is important to make research on the relationship between the different environment stage of wheat and the yield of wheat.The variations of NDVI and RVI of wheat can be detected by active remote sensing instruments-Green Seeker.What we should do is to screen the measuring data,establish the regression model,elaborate the variation trends of NDVI,seek the optimal estimating model based on NDVI,RVI and the yield of wheat,verify the efficiency of the wheat yield predictive model,and analyze the formula of predicting the yield of wheat.

Key words: Green seeker, Normalized difference vegetation index, Ratio vegetation index, Yield predictive model

中图分类号: 

• S512.1