摘要
提出了一种可实现潮滩表层叶绿素的现场快速、无损的光学检测方法。利用反射率光谱对我国潮滩表层沉积物叶绿素-a浓度进行了观测试验。基于高光谱650,675及700nm各波段的反射率,提出了用于叶绿素浓度反演的归一化底栖微藻差异指数(NDI-MPB)、及可消除呈直线或近似直线变化的背景噪声光谱的反射谷深度(T-depth)模型。研究结果表明,NDI-MPB指数与表层沉积物(3mm)中的叶绿素-a浓度(2.22~49.36mg.m-2)有极好的线性相关性(r>0.99);以叶绿素-a浓度表征底栖微型藻类生物量,NDI-MPB可用于潮滩表层底栖微型藻类生物量的遥感监测。
An optical monitoring method is proposed for the rapid,non destructive measurements of chlorophyll concentration(Chl-a)in the surface sediments of emerged tidal flat,and it can be further applied in remote sensing work.Hyperspectral reflectance of intertidal sediments were measured in day time at the tidal flats of the Sishili Bay,the Northern Yellow Sea,and surface sediments(3mm)were sampled for the in-door measurements of Chl-a.On the basis of the reflectance at 650,675and 700 nm,the indices of normalized difference index of microbenthos(NDI-MPB)and trough depth(T-depth)were proposed for the measurements of microphytobenthos biomass.T-depth can be used to remove the linear background spectral noises and indicate the existence of microphytobenthos;Good linear relationship was observed between NDI-MPB and Chl-a content in sediments(2.22~49.36mg.m-2,r0.99),which may be used to monitor the biomass of microphy to benthos.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2013年第8期2188-2191,共4页
Spectroscopy and Spectral Analysis
基金
中国科学院知识创新重要方向项目(KZCX2-YW-Q07-01)
国家自然科学基金项目(41106099)
中国科技部-欧空局第三期龙计划项目(EPHURSUS
ID:10558)资助
关键词
底栖微藻
生物量
高光谱
遥感
潮滩
黄海
Microphytobenthos
Biomass
Hyperspectra
Remote sensing
Tidal flat
Yellow sea