基于冠层光谱特征的冬小麦产量估算研究  

Research on Estimation of Grain Yield of Winter Wheat Based on Canopy Spectrum Characteristics

作　　者：张威[1] 潘剑君[1] 李勇 尹正宇 卢浩东 付传城 

机构地区：[1]南京农业大学资源与环境科学学院,江苏南京210095 [2]江苏省金坛市土壤肥料站,江苏金坛213200

出　　处：《土壤通报》2015年第1期169-176,共8页Chinese Journal of Soil Science

基　　金：江苏省高校优势学科建设工程资助项目(PAPD)资助

摘　　要：快速准确的粮食作物产量估算对于国家制订粮食政策和农业可持续发展具有重要意义。利用地面高光谱遥感的优点,获取作物冠层的精细光谱,并根据植被绿峰、红边、水汽吸收波段、近红外反射峰及短波红外反射峰等特征构建高光谱指数,从而对冬小麦产量进行预测。结果表明:可见光波段、近红外波段和短波红外波段的光谱反射率与产量从返青期到抽穗期分别达到显著负相关、显著正相关和显著负相关水平;通过分析光谱参量与产量的关系,由植被红边与近红外波段反射峰所定义的归一化植被指数(NDVI)与产量的统计相关特征在所有生育期都是极显著水平,统计相关性优于其他光谱参量,利用该参量所构建的非线性模型估产效果最好,可见利用NDVI指数进行产量预报效果更好。Precise and rapid prediction of grain yield is of great significance indecision making for national food policy and agricultural sustainable development. The objectives of the study were to determine the quantitative relationships between spectral parameters and grain yieldof winter wheat. This research combined the ascendancy of ground hyperspectral remote sensing, then used vegetation green peak, red edge, water vapor absorption bands characteristic parameters to build near-infrared spectral reflectance and short infrared reflectance peak, and implemented forecasts for grain yield of winter wheat. The results showed that the relationships between spectral reflectance of visible,near-infrared and short infrared bands and grain yield were significantly negative, positive, and negative, respectively,from turning green to heading stage. The statistics related characteristics between grain yield and the normalized difference of vegetation index(NDVI), defined by red edge and near-infrared reflectance peaks bands, were very significant at the whole growth periods. The estimation of yield using the model constructed with NDVI overmatched that using with other spectral parameter, which indicated that NDVI index could be the best to predict grain yield of winter wheat.

关 键 词：冬小麦 产量 预测 模型 植被指数 

分 类 号：S512.11[农业科学—作物学]