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首页> 外文期刊>Journal of Applied Remote Sensing >Hyperspectral imaging spectroscopy: a promising method for the biogeochemical analysis of lake sediments
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Hyperspectral imaging spectroscopy: a promising method for the biogeochemical analysis of lake sediments

机译:高光谱成像光谱:一种有前途的湖泊沉积物生物地球化学分析方法

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摘要

We investigate the potential of hyperspectral imaging spectrometry for the analysis of fresh sediment cores. A sediment-core-scanning system equipped with a camera working in the visual to near-infrared range (400 to 1000 nm) is described and a general methodology for processing and calibrating spectral data from sediments is proposed. We present an application from organic sediments of Lake Jaczno, a freshwater lake with biochemical varves in northern Poland. The sedimentary pigment bacteriopheophytin a (BPhe a) is diagnostic for anoxia in lakes and, therefore, an important ecological indicator. Calibration of the spectral data (BPhe a absorption similar to 800 to 900 nm) to absolute BPhe a concentrations, as measured by high-performance-liquid-chromatography, reveals that sedimentary BPhe a concentrations can be estimated from spectral data with a model uncertainty of similar to 10%. Based on this calibration model, we use the hyperspectral data from the sediment core to produce high-resolution intensity maps and time series of relative BPhe a concentrations (similar to 10 to 20 data points per year, pixel resolution 70 x 70 mu m(2)). We conclude that hyperspectral imaging is a very cost-and time-efficient method for the analysis of lake sediments and provides insight into the spatiotemporal structures of biogeochemical species at a degree of detail that is not possible with wet chemical analyses. (C) 2015 Society of Photo-Optical Instrumentation Engineers (SPIE)
机译:我们调查高光谱成像光谱分析新鲜沉积物核心的潜力。描述了配备有在可见光至近红外范围(400至1000 nm)中工作的照相机的沉积物芯扫描系统,并提出了一种处理和校准沉积物光谱数据的通用方法。我们提出了来自Jaczno湖有机沉积物的应用,Jaczno湖是波兰北部具有生化作用的淡水湖。沉积色素细菌脱镁叶绿素a(BPhe a)可诊断湖泊缺氧,因此是重要的生态指标。通过高效液相色谱法对光谱数据(BPhe a的吸收度类似于800至900 nm)进行校准,使其达到绝对BPhe a浓度,可以发现,根据模型数据的不确定性,可以从光谱数据中估算沉积BPhe a的浓度。接近10%基于此校准模型,我们使用来自沉积物核心的高光谱数据生成高分辨率强度图和相对BPhe a浓度的时间序列(类似于每年10至20个数据点,像素分辨率70 x 70μm(2 ))。我们得出的结论是,高光谱成像是一种非常经济高效的湖底沉积物分析方法,可提供生物地球化学物种时空结构的详细见识,而湿化学分析无法做到这一点。 (C)2015年光电仪器工程师协会(SPIE)

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