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作 者:陈书琳[1,2] 毕银丽[1] 齐礼帅[1] 冯颜博[1] 张延旭[1] 孔维平[1] 王瑾[1]
机构地区:[1]中国矿业大学(北京)地球科学与测绘工程学院,北京100083 [2]山东建筑大学管理工程学院,山东济南250101
出 处:《中国矿业大学学报》2015年第1期170-175,共6页Journal of China University of Mining & Technology
基 金:国家高技术研究发展计划(863)项目(2013AA102904);十二五科技支撑计划项目(2012BAC10B03)
摘 要:为利用高光谱遥感监测接种菌根对植物生长的影响,在不同生育期测定接种菌根(+M)和对照(CK)两组大豆的叶片光谱及叶绿素含量.通过分析不同处理下大豆原始光谱和一阶微分各特征参数的差异,获取菌根效应影响植物叶绿素含量的光谱响应信息,选择能良好反映不同处理大豆叶绿素含量差异的特征参数作为输入因子,建立BP神经网络反演大豆叶绿素含量估测模型.结果表明:各生育期+M组的红边位置较同时期CK组的向长波方向偏移,其绿峰幅值、蓝边面积、蓝边斜率和黄边面积均小于同期CK组,而黄边斜率则大于同期CK组,特征参数差异明显.BP神经网络模型预测的大豆叶绿素含量与实测结果拟合度较好(R2=0.966 7)实验表明,接种菌根提高了大豆的光合作用,采用高光谱遥感监测并评价菌根效应对植物生长的作用是可行的.研究成果可为微生物复垦植被监测和矿区微生物复垦效果评价等提供理论依据和指导.The aim of this paper is to monitor the effect of mycorrhiza on the growth of plants with hyperspectral remote sensing.The leaf reflectance and the chlorophyll content of soybean inoculated with mycorrhiza(+M)and those of the control(CK)were measured in 4growth periods.The difference of characteristic parameters between original and 1st derivative spectra of+M and CK were analyzed.Finally,BP model was established for soybean chlorophyll content estimation,6characteristic parameters which can appear obviously difference between+M and CK were used as input variables.The results show that the red edge positions(REP)of+M shifted toward long wave,green peak amplitude,blue edge slope,blue edge area and yellow edge area were smaller than those of CK,while the yellow edge slope was bigger that that of CK in every growth period.The predicted chlorophyll content of BP model corresponded well with the measured chlorophyll content.The correlation coefficient(R2)between measured and predicted chlorophyll content was 0.966 7.Therefore,these study results can not only provide possibility for a simple,quick and non-destructive way to monitor the growthof plants inoculated with mycorrhiza but also supply theories and methods for assessing the mycorrhiza effect on reclaimed plants in large areas.
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