2014
DOI: 10.1016/j.gloplacha.2014.10.008
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Spring temperature variability and eutrophication history inferred from sedimentary pigments in the varved sediments of Lake Żabińskie, north-eastern Poland, AD 1907–2008

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Cited by 31 publications
(52 citation statements)
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References 66 publications
(93 reference statements)
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“…The exceptional scientific value of this site is due to a very good preservation of varves in the sediments and high sedimentation rates which allow high-resolution (annual) analysis of different proxies. The lake already showed its high potential for quantitative paleoenvironmental reconstructions (Amann et al, 2014;Hernández-Almeida et al, 2015;Larocque-Tobler et al, 2015). Therefore, the best possible accuracy of the chronology is crucial for the reliability of the millennial-long climate reconstructions derived from the sediments of this lake.…”
Section: Introductionmentioning
confidence: 99%
“…The exceptional scientific value of this site is due to a very good preservation of varves in the sediments and high sedimentation rates which allow high-resolution (annual) analysis of different proxies. The lake already showed its high potential for quantitative paleoenvironmental reconstructions (Amann et al, 2014;Hernández-Almeida et al, 2015;Larocque-Tobler et al, 2015). Therefore, the best possible accuracy of the chronology is crucial for the reliability of the millennial-long climate reconstructions derived from the sediments of this lake.…”
Section: Introductionmentioning
confidence: 99%
“…23,25,27,29,30,46,47 These authors used point measurement photospectrometers typically with a spectral resolution of 10 nm, a spatial resolution (sensor field) of 2 to 8 mm and manual operation. The SCS, in comparison, improves the spatial resolution by about two orders of magnitude (pixel size up to 40 μm) and has a better spectral resolution (2.8 nm).…”
Section: Scs-vnir Imaging and Methodologymentioning
confidence: 99%
“…The spatial resolution of data points generated by the hyperspectral SCS imaging technique is three to four orders of magnitude larger than what is possible and considered "high resolution" with wet chemical techniques (e.g., for photopigment analysis by HPLC). 30,40 The methodology outlined in Sec. 2 of this article is customized for scientists not familiar with remote sensing technologies, enabling them to acquire high-quality data and generate standard output products for spectral indices and sediment proxies that are well established in the environmental and paleoclimate literature (Refs.…”
Section: Scs-vnir Imaging and Methodologymentioning
confidence: 99%
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