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.
Highlights
Retrieval of properties of Earth sediments and planetary regoliths from spectral remote sensing has been explored extensively [1,2,3,4]
Our enhanced approach, which is applicable to any remote sensing time series, demonstrated a retrieval of sediment filling factor that was consistent with nearby ground truth measurements [9]; in that earlier study, the available ground truth was not directly within the overlapping field of view of the multi-view, multi-temporal G-LiHT hyperspectral imagery used. We address this shortcoming using multi-view, multi-temporal hyperspectral imagery acquired from a mast-mounted hyperspectral imaging (HSI) system [40] and contemporaneous ground truth collected by us during a field campaign at the Virginia Coast Reserve (VCR) [41] Long Term Ecological Research (LTER) [42] site in July 2018
We describe the field data collection campaign conducted in a salt panne environment on a barrier island at the VCR LTER, including the hyperspectral imaging system used to collect the imagery and the ground truth data used in validating the retrieval of sediment filling factor from the multi-view hyperspectral imagery
Summary
Retrieval of properties of Earth sediments and planetary regoliths from spectral remote sensing has been explored extensively [1,2,3,4]. Jacquemoud et al [6] investigated laboratory spectral data for 26 different soil samples of varying soil type by inverting an an early version of IMSA predating Hapke’s adjustment of the model for the effects of porosity [10]. Their inversion of IMSA retrieved the single scattering albedo, single scattering phase function parameters, and opposition effect width parameter using spectral data from a multi-spectral sensor and spectrometer. Bachmann et al [8] inverted laboratory hyperspectral goniometer data of the Algodones Dunes to jointly retrieve sediment filling factor and single scattering albedo and validated the results in the laboratory with direct measurements of sediment bulk density
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