地理科学 ›› 2016, Vol. 36 ›› Issue (1): 135-141.doi: 10.13249/j.cnki.sgs.2016.01.017
收稿日期:
2014-12-11
修回日期:
2015-03-10
出版日期:
2016-01-20
发布日期:
2016-01-20
作者简介:
作者简介:王莉雯(1971-),女,山东蓬莱人,副教授,博士,研究领域为遥感和地理信息系统应用。E-mail:
基金资助:
Received:
2014-12-11
Revised:
2015-03-10
Online:
2016-01-20
Published:
2016-01-20
Supported by:
摘要:
以盘锦双台河口湿地国家级自然保护区作为研究区,采用基于bootstrap的偏最小二乘回归模型(PLSR),分别构建不同光谱变换技术(包括光谱水分影响减小技术WR、包络线去除CR、光谱一阶微分FD、光谱倒数的对数LR)和原光谱数据(R)的芦苇叶片氮浓度预测模型。使用变量投影重要性指标VIP,计算了各光谱波段在估算芦苇叶片氮浓度时的重要性。研究结果表明,WR光谱变换技术的芦苇叶片氮浓度估算精度最高(R2=0.87,均方根误差=0.57),该方法可以有效减小叶片水分的影响,增强鲜叶片光谱中细微的氮吸收特征。
中图分类号:
王莉雯, 卫亚星. 基于减小叶片水分影响的湿地芦苇氮浓度高光谱反演研究[J]. 地理科学, 2016, 36(1): 135-141.
Liwen Wang, Yaxing Wei. Estimating Nitrogen Concentrations in Wetland Reeds Based on Reducing Foliar Water Effect by Hyperspectral Data[J]. SCIENTIA GEOGRAPHICA SINICA, 2016, 36(1): 135-141.
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