Hyperspectral imaging spectroscopy: a promising method for the biogeochemical analysis of lake sediments

被引:76
作者
Butz, Christoph [1 ,2 ]
Grosjean, Martin [1 ,2 ]
Fischer, Daniela [1 ,2 ]
Wunderle, Stefan [1 ,2 ]
Tylmann, Wojciech [3 ]
Rein, Bert [4 ]
机构
[1] Univ Bern, Inst Geog, CH-3012 Bern, Switzerland
[2] Oeschger Ctr Climate Change Res, CH-3012 Bern, Switzerland
[3] Univ Gdansk, Inst Geog, PL-80952 Gdansk, Poland
[4] GeoConsult Rein, D-55276 Oppenheim, Germany
基金
瑞士国家科学基金会;
关键词
hyperspectral imaging; image acquisition/recording; reflectance; nondestructive testing; sedimentary pigments; bacteriopheophytin; REFLECTANCE SPECTROSCOPY; FIELD; PRECIPITATION; BACTERIA; PIGMENTS; RECONSTRUCTION; SPECTROMETER; VARIABILITY; MINERALOGY; SYSTEM;
D O I
10.1117/1.JRS.9.096031
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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)
引用
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页数:20
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