作物学报 ›› 2020, Vol. 46 ›› Issue (4): 557-570.doi: 10.3724/SP.J.1006.2020.94045
李宗飞1,苏继霞1,费聪1,李阳阳1,刘宁宁1,戴宇祥1,张开祥1,王开勇1,樊华1,*(),陈兵2,*()
LI Zong-Fei1,SU Ji-Xia1,FEI Cong1,LI Yang-Yang1,LIU Ning-Ning1,DAI Yu-Xiang1,ZHANG Kai-Xiang1,WANG Kai-Yong1,FAN Hua1,*(),CHEN Bing2,*()
摘要:
本文旨在明确甜菜叶片全氮含量与高光谱地面植被遥感的定量关系, 建立干旱区甜菜叶片全氮含量精确估测模型, 及时监测甜菜生长状况。本研究选取新疆滴灌甜菜(Beta356)为材料, 利用ASD野外高光谱仪在甜菜叶丛快速生长期、块根膨大期与糖分积累期采集各处理反射光谱, 并同时测定全氮含量, 分析原始光谱反射率及一阶微分光谱反射率与全氮含量的相关性, 并进一步建立光谱特征参数与敏感波段植被指数全氮含量估算模型。结果表明, 光谱特征参数Dr762幂函数下估算模型具有较好估算甜菜叶片全氮含量的能力, 其决定系数R 2 = 0.747, 验证相对误差RE(%)为21.635, 验证均方根误差RMSE为4.914; 通过植被指数与叶片全氮含量建立多种函数估测模型, 其中差值植被指数Dr762-Dr496下一元线性函数具有较好估算甜菜叶片全氮含量的能力, 其决定系数R 2 = 0.794, 验证相对误差RE(%)为23.008, 验证均方根误差为5.372。
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