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Letter

Retrieval of Sediment Filling Factor in a Salt Panne from Multi-View Hyperspectral Imagery

by
Rehman S. Eon
1,*,
Charles M. Bachmann
1,
Christopher S. Lapszynski
1,
Anna Christina Tyler
2 and
Sarah Goldsmith
2
1
Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY 14623, USA
2
Thomas H. Gosnell School of Life Sciences, Rochester Institute of Technology, Rochester, NY 14623, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(3), 422; https://doi.org/10.3390/rs12030422
Submission received: 27 December 2019 / Revised: 24 January 2020 / Accepted: 25 January 2020 / Published: 28 January 2020
(This article belongs to the Special Issue Monitoring Salt Marsh Condition with Remote Sensing)

Abstract

This work describes a study using multi-view hyperspectral imagery to retrieve sediment filling factor through inversion of a modified version of the Hapke radiative transfer model. We collected multi-view hyperspectral imagery from a hyperspectral imaging system mounted atop a telescopic mast from multiple locations and viewing angles of a salt panne on a barrier island at the Virginia Coast Reserve Long-Term Ecological Research site. We also collected ground truth data, including sediment bulk density and moisture content, within the common field of view of the collected hyperspectral imagery. For samples below a density threshold for coherent effects, originally predicted by Hapke, the retrieved sediment filling factor correlates well with directly measured sediment bulk density ( R 2 = 0.85 ). The majority of collected samples satisfied this condition. The onset of the threshold occurs at significantly higher filling factors than Hapke’s predictions for dry sediments because the salt panne sediment has significant moisture content. We applied our validated inversion model to successfully map sediment filling factor across the common region of overlap of the multi-view hyperspectral imagery of the salt panne.
Keywords: hyperspectral; multi-view; radiative transfer; modified Hapke model; hemispherical conical reflectance factor (HCRF); filling factor; bulk density; salt panne; coastal sediments hyperspectral; multi-view; radiative transfer; modified Hapke model; hemispherical conical reflectance factor (HCRF); filling factor; bulk density; salt panne; coastal sediments
Graphical Abstract

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MDPI and ACS Style

Eon, R.S.; Bachmann, C.M.; Lapszynski, C.S.; Tyler, A.C.; Goldsmith, S. Retrieval of Sediment Filling Factor in a Salt Panne from Multi-View Hyperspectral Imagery. Remote Sens. 2020, 12, 422. https://doi.org/10.3390/rs12030422

AMA Style

Eon RS, Bachmann CM, Lapszynski CS, Tyler AC, Goldsmith S. Retrieval of Sediment Filling Factor in a Salt Panne from Multi-View Hyperspectral Imagery. Remote Sensing. 2020; 12(3):422. https://doi.org/10.3390/rs12030422

Chicago/Turabian Style

Eon, Rehman S., Charles M. Bachmann, Christopher S. Lapszynski, Anna Christina Tyler, and Sarah Goldsmith. 2020. "Retrieval of Sediment Filling Factor in a Salt Panne from Multi-View Hyperspectral Imagery" Remote Sensing 12, no. 3: 422. https://doi.org/10.3390/rs12030422

APA Style

Eon, R. S., Bachmann, C. M., Lapszynski, C. S., Tyler, A. C., & Goldsmith, S. (2020). Retrieval of Sediment Filling Factor in a Salt Panne from Multi-View Hyperspectral Imagery. Remote Sensing, 12(3), 422. https://doi.org/10.3390/rs12030422

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