7 July 2015 Hyperspectral imaging spectroscopy: a promising method for the biogeochemical analysis of lake sediments
Christoph Butz, Martin Grosjean, Daniela Fischer, Stefan Wunderle, Wojciech Tylmann, Bert Rein
Author Affiliations +
Abstract
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 ∼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 ∼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 (∼10 to 20 data points per year, pixel resolution 70×70  μm2). 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.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2015/$25.00 © 2015 SPIE
Christoph Butz, Martin Grosjean, Daniela Fischer, Stefan Wunderle, Wojciech Tylmann, and Bert Rein "Hyperspectral imaging spectroscopy: a promising method for the biogeochemical analysis of lake sediments," Journal of Applied Remote Sensing 9(1), 096031 (7 July 2015). https://doi.org/10.1117/1.JRS.9.096031
Published: 7 July 2015
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Cited by 62 scholarly publications.
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KEYWORDS
Calibration

Hyperspectral imaging

Chemical analysis

Spectroscopy

Absorption

Imaging spectroscopy

Data modeling

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