项目名称: 面向二类水体叶绿素a浓度遥感反演的光谱纯化研究
项目编号: No.41471283
项目类型: 面上项目
立项/批准年度: 2015
项目学科: 天文学、地球科学
项目作者: 韦玉春
作者单位: 南京师范大学
项目金额: 89万元
中文摘要: 光谱纯化指利用指定的纯组分光谱对混合光谱进行滤波-校正-变换-分离的数学处理获得组分光谱的方法和流程,用来降低同物异谱的概率,改进遥感反演的精度。 叶绿素a浓度是水体生物量的主要指标,与水体初级生产力和碳循环密切相关。项目借鉴实验室化学分析中的纯化概念,针对二类水体生物-光学性质的复杂性、叶绿素a浓度遥感反演和监测对模型稳健性和精度的要求,选择太湖为典型研究区,开展如下研究:(1)典型浓度梯度下悬浮物组分和浮游植物的光学性质及其对水体光谱的贡献和对水体叶绿素a浓度反演的影响;(2)二类水体中叶绿素a组分的纯谱的特征提取和识别;(3)水体光谱纯化算法、流程和基于光谱纯化处理的水体叶绿素a浓度反演模型。研究成果不仅可为二类水体水色指标的遥感反演和监测提供基础支撑和方法支持,而且可为高光谱遥感数据处理和遥感信息提取提供新方法,对于植被遥感和大气遥感也具有重要的参考价值。
中文关键词: 高光谱遥感;生物光学特性;水色参数;水体富营养化;水华
英文摘要: Spectral purification is a procedure and methods used to process mixing spectra by filter, calibration, transformation and separation based on the specific component pure spectrum so as to decrease the probability of the same object with the different spectrums and improve the remote sensing inversion precision. As the main biomass index of water body, chlorophyll-a has close relationship with the primary production and carbon cycle. Considering the complexness of bio-optical property and requirement for model robust and precision of chlorophyll-a concentration remote sensing inversion in case-II water, the projection will take Taihu lake as typical area and study the following contents: (1) Bio-optical property of suspended material and phytoplankton,their contribution to the water body spectrum and affection on the chlorophyll-a remote sensing inversion and under different concentration gradient. (2) Feature extraction and indentify of pure spectra on chlorophyll-a component in case-II water. (3) Algorithms and procedure of spectral purification, and the chlorophyll-a inversion model based on spectral purification. The study result can provide the base and method supporting to the chlorophyll-a remote sensing inversion and monitoring in the case-II water, the new algorithms for the spectral processing in hyperspectral remote sensing and remote sensing information extraction, and a valuable reference for vegetation and atmospheric remote sensing as well.
英文关键词: hyperspectral remote sensing;bio-optical property;parameters about water color;water eutrophication;algal bloom