基于高光谱遥感的湿地植被氮素浓度监测及其对富营养化的响应研究

项目名称： 基于高光谱遥感的湿地植被氮素浓度监测及其对富营养化的响应研究

项目编号： No.41271421

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 天文学、地球科学

项目作者： 王莉雯

作者单位： 辽宁师范大学

项目金额： 55万元

中文摘要： 海岸河口富营养化的问题造成了深远的社会经济影响。准确监测水体富营养化状况，以及有效定量其对湿地生态系统功能的影响效应，是制定相应管理措施面临的主要问题。本研究基于湿地的典型环境特点，挖掘高光谱遥感数据有效监测湿地植被氮素浓度的潜力，以新的研究思路通过湿地植被的高光谱响应特性来有效指示湿地所在区域水体富营养化变化状况，解决营养物质脉冲效应导致的错误评估结论。主要研究内容包括：多角度与高光谱相结合提高反演精度；野外实验中多角度与叶片和冠层尺度结合的光谱测量；将植被结构特征作为反演模型输入参数；消除氮浓度反演植被所含水分的影响；反演光谱指数的改进；湿地植被叶片和冠层尺度光谱指数的参考波段和氮吸收中心波段位置偏移值的确定；采用几何光学模型和辐射传输模型相结合，构建湿地植被叶片和冠层尺度氮浓度反演模型；湿地植被氮素浓度、湿地水体总氮浓度、海岸河口水体富营养化状况三者之间的联系、相关和响应变化。

中文关键词： 高光谱遥感；氮素；水体富营养化；湿地；

英文摘要： Coastal estuarine eutrophication has a farreaching impact on society and economy. Correctly monitoring water eutrophication status and efficiently deciding its quantitative effect on wetland ecosystem functions are main questions to constitute corresponding management measures. In this study, based on representative environment characteristics of the wetland, effectively monitoring nitrogen concentrations of wetland vegetations by hyperspectral remote sensing is exploring. It is by a new research idea that hyperspectral response characteristics of wetland vegetations are used to successfully indicate variations of water eutrophication in wetland regions. Such wrong evaluation conclusions derived from nutrition pulse effects are then solved. Main research contents are listed as follows: hyperspectral remote sensing is combined with multi-angle remote sensing to improve the inversion precision; spectral measures in field experiments combine multi-angle with foliar and canopy scale; structure features of wetland vegetations are input into inversion models of nitrogen concentrations; the effect of water contained in vegetation on nitrogen concentration inversion is removed; inversion spectral indexes are greatly modified; offset values of reference bands and nitrogen absorbed center bands for wetland vegetation are

英文关键词： Hyper-spectral remote sensing；Nitrogen；Water eutrophication；Wetlands；