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Retrieval of Substrate Bearing Strength from Hyperspectral Imagery during the Virginia Coast Reserve (VCR’07) Multi-Sensor Campaign

Charles M. Bachmann Naval Research Laboratory, Remote Sensing Division, Washington, D.C., USA

C. Reid Nichols Marine Information Resources Corporation, Ellicott City, Maryland, USA

Marcos J. Montes Naval Research Laboratory, Remote Sensing Division, Washington, D.C., USA

Rong-Rong Li Naval Research Laboratory, Remote Sensing Division, Washington, D.C., USA

Patrick Woodward Marine Information Resources Corporation, Ellicott City, Maryland, USA

Robert A. Fusina Naval Research Laboratory, Remote Sensing Division, Washington, D.C., USA

Wei Chen Naval Research Laboratory, Remote Sensing Division, Washington, D.C., USA

Vimal Mishra Purdue University, Laboratory for Applications of Remote Sensing, West Lafayette, Indiana, USA

Wonkook Kim Purdue University, Laboratory for Applications of Remote Sensing, West Lafayette, Indiana, USA

James Monty Purdue University, Laboratory for Applications of Remote Sensing, West Lafayette, Indiana, USA

Kevin Mcilhany U.S. Naval Academy, Physics Department, Annapolis, Maryland, USA

Ken Kessler Kessler Soils Engineering, Springfield, Virginia, USA

Daniel Korwan Naval Research Laboratory, Remote Sensing Division, Washington, D.C., USA

W. David Miller Naval Research Laboratory, Remote Sensing Division, Washington, D.C., USA

Ellen Bennert Naval Research Laboratory, Remote Sensing Division, Washington, D.C., USA

Geoff Smith Naval Research Laboratory, Remote Sensing Division, Washington, D.C., USA

David Gillis Naval Research Laboratory, Remote Sensing Division, Washington, D.C., USA

Jon Sellars NOAA NOS, Silver Spring, Maryland, USA

Christopher Parrish NOAA NOS, Silver Spring, Maryland, USA

Arthur Schwarzschild University of Virginia, Department of Environmental Science, Charlottesville, Virginia, USA

Barry Truitt The Nature Conservancy, Nassawaddox, Virginia, USA

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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).

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Acknowledgements

The authors acknowledge platform support from the Office of Naval Research. This paper was funded by the National Geospatial-Intelligence Agency (NGA). The opinions, views, and conclusions found within the paper do not necessarily reflect those of the U.S. Department of Defense or the NGA.

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Retrieval of Substrate Bearing Strength from Hyperspectral Imagery during the Virginia Coast Reserve (VCR’07) Multi-Sensor Campaign

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Retrieval of Substrate Bearing Strength from Hyperspectral Imagery during the Virginia Coast Reserve (VCR’07) Multi-Sensor Campaign

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