| 崔怀洋，徐 晖，张 伟，丁锦峰，李春燕，郭文善，朱新开.基于高光谱的倒伏冬小麦产量预测模型研究[J].麦类作物学报,2015,35(8):1155 |
| 基于高光谱的倒伏冬小麦产量预测模型研究 |
| Yield Estimation Model of Lodging Winter Wheat Based on Hyperspectral Remote Sensing |
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| DOI：10.7606/j.issn.1009-1041.2015.08.18 |
| 中文关键词: 冬小麦 倒伏 遥感 产量 产量构成 预测模型 |
| 英文关键词:Winter wheat Lodging Remote sensing Yield Yield components Forecasting model |
| 基金项目:国家“十二五”科技支撑计划项目（2012BAD04B08、2013BAD07B09）；“六大人才高峰”高层次人才项目(2011-NY039)；江苏高校优势学科建设工程项目；江苏高校优秀科技创新团队项目；研究生科研创新计划项目（SJLX_0617） |
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| 中文摘要: |
| 为利用高光谱遥感技术对倒伏小麦产量进行准确、快速地估算，选取在乳熟期发生不同程度倒伏的两个春性冬小麦品种为材料，利用光谱仪测定了不同倒伏级别下小麦冠层光谱反射率，研究植被指数与产量及其构成因素间的相关性，最终建立快速、有效估测倒伏小麦产量的数学模型。结果表明，不同级别倒伏对小麦千粒重和产量的影响均达显著水平（P<0.05），随倒伏级别的增加，千粒重和产量均呈降低趋势，二者最高降幅分别为10.72%和17.69%。对倒伏小麦产量与冠层光谱反射率进行相关分析，在350~690 nm波段，相关系数随波长的增加总体呈下降趋势；在690~760 nm波段，相关系数呈上升趋势，在764 nm处，相关系数绝对值达最大，为0.734。千粒重与DVI570,670的相关系数值最高，产量与DVI764,407的相关性最好，且都通过了0.01水平检验。利用植被指数-千粒重-产量构建的反演模型，可提高模型预测精度，与单因子植被指数-产量模型、多因子植被指数-产量模型相比，能更好地反演不同倒伏程度的小麦产量。 |
| 英文摘要: |
| In order to estimate the grain yield of lodging wheat accurately and rapidly using hyperspectral remote sensing technology,a field experiment with two winter wheat cultivars was conducted. The canopy spectrum reflectance was determined at milk stage for wheat plants with different lodging degrees. The vegetation index was then calculated. The correlations between the vegetation index and yield components were analyzed to develop a model that can be used to estimate the grain yield of lodging wheat. The degree of lodging significantly affected 1 000-grain weight and grain yield. The higher the degree of lodging,the lower 1 000-grain weight and grain yield performed,with a decrease up to 10.72% for 1 000-grain weight and up to 17.69% for grain yield. The correlation coefficients between canopy spectrum reflectance and grain yield were generally on a downward trend between 350 and 690 nm,zoomed up between 690 and 760 nm. The highest absolute value of coefficient was determined at 764 nm,reaching a high level of 0.734.The correlation coefficient between 1 000-grain weight and DVI570,670 was the highest.The correlation between grain yield and DVI764,407 was the highest. The inversion model constructed with vegetation index,1 000-grain weight and grain yield was more accurate in estimating grain yield， compared to the model constructed with vegetation index of single factor-yield and the model constructed with vegetation index of multiple factor-yield. |
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