利用光谱反射特征预测柑橘叶片冻害

利用光谱反射特征预测柑橘叶片冻害
唐子立;杨勇;胡卫国;周恒;胡春根
【期刊名称】《农业工程学报》
【年(卷),期】2012(028)011
【摘要】Electrical conductivity is an important physiological and biochemical index which reflects the situation of plant biomembrane system and also reflects the nutrient condition of trees. The nutrition of the tree before winter is an important factor which resists extreme low temperature for surviving through the winter, the exudation or degradation of cell sap is an index of freezing degree when freezing injury happened. The research was to scan the different leaves in different freezing levels with a spectrometer, and the stepwise regression method was used to analyze the relation between spectral reflectivity and leaf conductivity, and then constructing the leaf conductivity and spectral reflection model. The results showed that there was a close relationship between citrus leaf electrical conductivity and spectral reflectance, the errors of predicted values by the two models were both less than 10% compared to measured values, which proved the two models had good predicted accuracy. The results can provide a reference for remote sensing to monitor the growth status and cold injury situation of orchards.%相对电导率是反映植物膜系统状况的一个重要的生理生化指标,与树体营养状况密切相关,越冬前的树体营养状态对果树抵御极端低温和顺利越冬是一个重要的影响因素,而
果树受冻时细胞液渗出量和降解量也是冻害发生程度的指标.该研究对不同冻害处理下的柑橘叶片进行光谱扫描,采用了逐步回归法分析了叶片光谱反射率和叶片电导率之间的关系,构建了2种光谱反射预测柑橘叶片电导率模型,其决定系数分别为0.8201、0.8013.结果表明,柑橘叶片电导率与反射光谱之间有较强的相关性,且2种模型所得预测值与实测值的相对误差都小于10％,说明模型具有良好的预测结果.该模型可以为采用空间遥感监测果园生长状况和冻害情况提供参考.
【总页数】6页(P146-151)
【作者】唐子立;杨勇;胡卫国;周恒;胡春根
【作者单位】华中农业大学园艺林学学院,武汉430070;华中农业大学资源与环境学院,武汉430070;华中农业大学资源与环境学院,武汉430070;华中农业大学资源与环境学院,武汉430070;华中农业大学园艺林学学院,武汉430070
【正文语种】中文
【中图分类】S771.8
【相关文献】
1.高光谱成像技术的柑橘植株叶片含氮量预测模型 [J], 李金梦;叶旭君;王巧男;张初;何勇
2.不同生长期柑橘叶片磷含量的高光谱预测模型 [J], 岳学军;全东平;洪添胜;Wei Xiang;刘永鑫;王健
3.用于监测柑橘叶片冻害的叶绿素含量光谱反射模型研究 [J], 张冬强;唐子立;杨勇;李硕;胡春根
4.利用光谱反射特征预测柑橘叶片冻害 [J], 李光林;李晓东;曾庆欣
5.基于光谱反射特征的柑橘叶片含水率模型 [J], 杨勇;张冬强;李硕;胡春根
因版权原因，仅展示原文概要，查看原文内容请购买。