High-Resolution Sampling and Rapid Image-Based Assessment of Dark Opaque Fractions in Coastal Sands

Buynevich, I.V.; Tõnisson, H.; Pupienis, D.; Jarmalavičius, D.; Rosentau, A.; Bitinas, A.; Davydov, O.V.; Kont, A.; Vilumaa, K.; Suursaar, Ü.; Savarese, M., Luik, K.; Kadurin, S.V., and Suuroja, S., 2024. High-resolution sampling and rapid image-based assessment of dark opaque fractions in coastal sands. In: Phillips, M.R.; Al-Naemi, S., and Duarte, C.M. (eds.), Coastlines under Global Change: Proceedings from the International Coastal Symposium (ICS) 2024 (Doha, Qatar). Journal of Coastal Research, Special Issue No. 113, pp. 778-782. Charlotte (North Carolina), ISSN 0749-0208. Dark opaque constituents (mafic and heavy minerals, dark bioclastic fragments, disseminated organics) occur in varying amounts and combinations in beach and dune sands, with heavy-mineral concentrations (HMCs) punctuating quartz-dominated siliciclastic lithosomes. Typically occurring in trace amounts (<3-5%), heavy minerals provide important information about sediment source, regional transport pathways, and (paleo-)energy conditions, as well as produce strong reflections in georadar images when concentrated (>10%). Often comprising thin laminae (1–2 mm), HMCs present challenges for sampling, with traditional point-counts and heavy-mineral separation being extremely time-consuming. To address this issue, we present examples of simple grayscale-based field and micrograph analyses of samples from beach and coastal dune sites in the United States (Florida, New Jersey), the Baltic Sea (Estonia and Lithuania), and the Black Sea (Ukraine). Macrophotographs of exposures and trench walls show patterns of color intensity using image-processing freeware (e.g., Image J). Inverse grayscale (IG) values (white: IG=0; black: IG=255) along random profiles through outcrop or mounted grain photos help in readily distinguishing very dark minerals (magnetite, ilmenite, biotite, etc.; IG>240) from those with mid-range hues (feldspars, bioclastics, dark garnets; IG∼100–150) and near-clear translucent grains (fractured garnets, quartz; IG∼10–20), all on a white background. Once standardized for lighting, magnification, and granulometrically adjusted screen capture coverage, areal grayscale plots (histograms) aid in quantitative assessment of the relative “dark” fraction, with quartz-rich sand yielding low average color-intensity values (compared to even moderate HMCs (IG>60). Because denser mineralogical components often occur in the finer sand fraction, such analysis provides a conservative estimate of their relative contribution. Our approach has the potential to complement traditional sedimentological and geophysical (e.g., georadar) datasets with independent compositional metrics.

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Journal
Journal of Coastal Research
Published
2024-12-20
DOI
https://doi.org/10.2112/jcr-si113-153.1
Citations
1
Primary Topic
Underwater Acoustics Research
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article
Field-Weighted Citation Impact
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article

High-Resolution Sampling and Rapid Image-Based Assessment of Dark Opaque Fractions in Coastal Sands

Michael Savarese, Are Kont, Donatas Pupienis, Sten Suuroja et al.
1 citations
Journal of Coastal Research
Underwater Acoustics Research
0.48
article

High-Resolution Sampling and Rapid Image-Based Assessment of Dark Opaque Fractions in Coastal Sands

Michael Savarese, Are Kont, Donatas Pupienis, Sten Suuroja, Sergey V. Kadurin, Darius Jarmalavičius, Oleksiy V. Davydov, Kadri Vilumaa, Hannes Tõnisson, Logan A. Wiest, Alar Rosentau, Ilya V. Buynevich, Katre Luik, Ülo K. Suursaar, Albertas Bitinas
article en
1 citations

Abstract

Buynevich, I.V.; Tõnisson, H.; Pupienis, D.; Jarmalavičius, D.; Rosentau, A.; Bitinas, A.; Davydov, O.V.; Kont, A.; Vilumaa, K.; Suursaar, Ü.; Savarese, M., Luik, K.; Kadurin, S.V., and Suuroja, S., 2024. High-resolution sampling and rapid image-based assessment of dark opaque fractions in coastal sands. In: Phillips, M.R.; Al-Naemi, S., and Duarte, C.M. (eds.), Coastlines under Global Change: Proceedings from the International Coastal Symposium (ICS) 2024 (Doha, Qatar). Journal of Coastal Research, Special Issue No. 113, pp. 778-782. Charlotte (North Carolina), ISSN 0749-0208. Dark opaque constituents (mafic and heavy minerals, dark bioclastic fragments, disseminated organics) occur in varying amounts and combinations in beach and dune sands, with heavy-mineral concentrations (HMCs) punctuating quartz-dominated siliciclastic lithosomes. Typically occurring in trace amounts (<3-5%), heavy minerals provide important information about sediment source, regional transport pathways, and (paleo-)energy conditions, as well as produce strong reflections in georadar images when concentrated (>10%). Often comprising thin laminae (1–2 mm), HMCs present challenges for sampling, with traditional point-counts and heavy-mineral separation being extremely time-consuming. To address this issue, we present examples of simple grayscale-based field and micrograph analyses of samples from beach and coastal dune sites in the United States (Florida, New Jersey), the Baltic Sea (Estonia and Lithuania), and the Black Sea (Ukraine). Macrophotographs of exposures and trench walls show patterns of color intensity using image-processing freeware (e.g., Image J). Inverse grayscale (IG) values (white: IG=0; black: IG=255) along random profiles through outcrop or mounted grain photos help in readily distinguishing very dark minerals (magnetite, ilmenite, biotite, etc.; IG>240) from those with mid-range hues (feldspars, bioclastics, dark garnets; IG∼100–150) and near-clear translucent grains (fractured garnets, quartz; IG∼10–20), all on a white background. Once standardized for lighting, magnification, and granulometrically adjusted screen capture coverage, areal grayscale plots (histograms) aid in quantitative assessment of the relative “dark” fraction, with quartz-rich sand yielding low average color-intensity values (compared to even moderate HMCs (IG>60). Because denser mineralogical components often occur in the finer sand fraction, such analysis provides a conservative estimate of their relative contribution. Our approach has the potential to complement traditional sedimentological and geophysical (e.g., georadar) datasets with independent compositional metrics.

Journal of Coastal ResearchVol. 113(sp1)
Institute of the Estonian Language (EE), Mansfield University (US), Vilnius University (LT), Tallinn University (EE), Florida Gulf Coast University (US), National University Odesa Law Academy (UA), Geological Survey of Estonia (EE), Nature Research Centre (LT), University of Tartu (EE), University of Pennsylvania (US), Temple University (US), Kherson State University (UA)
Life below water
Openalex Percentile: Top 30%
Underwater Acoustics Research
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