Bachmann, Charles M. ; Nichols, C. Reid ; Montes, Marcos J. ; Li, Rong-Rong ; Woodward, Patrick ; Fusina, Robert A. ; Chen, Wei ; Mishra, Vimal ; Kim, Wonkook ; Monty, James ; Mcilhany, Kevin ; Kessler, Ken ; Korwan, Daniel ; Miller, W. David ; Bennert, Ellen ; Smith, Geoff ; Gillis, David ; Sellars, Jon ; Parrish, Christopher ; Schwarzschild, Arthur ; Truitt, Barry (2010) Retrieval of Substrate Bearing Strength from Hyperspectral Imagery during the Virginia Coast Reserve (VCR’07) Multi-Sensor Campaign Marine Geodesy, 33 (2-3). pp. 101-116. ISSN 0149-0419
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Official URL: https://doi.org/10.1080/01490419.2010.492278
Related URL: http://dx.doi.org/10.1080/01490419.2010.492278
Abstract
Hyperspectral imagery (HSI) derived from remote sensing can delineate surface properties of substrates such as type, moisture, and grain size. These are critical parameters that determine the substrate bearing strength. Although HSI only sees the surface layer, statistics can be derived that relate surface properties to the likely bearing strength of soils in particular regions. This information can be used to provide an initial map estimate on large scales of potential bearing strength. We describe an initial validation study at the Virginia Coast Reserve relating airborne HSI to in situ spectral and geotechnical measurements through a spectral-geotechnical lookup table (LUT).
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Taylor and Francis Ltd. |
| Keywords: | Hyperspectral; Substrate bearing strength; Liquid water absorption; Light-weight deflectometer; Dynamic deflection modulus; Dynamic cone penetrometer; Grain size; Barrier islands; Beaches; Dunes; Mudflats; Salt pannes; Salt marshes; Virginia Coast Reserve. |
| ID Code: | 142404 |
| Deposited On: | 11 Jan 2026 05:14 |
| Last Modified: | 11 Jan 2026 05:14 |
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