@article {5138, title = {A procedure for developing an acceptance test for airborne bathymetric lidar data application to NOAA charts in shallow waters}, year = {2013}, month = {June 2013}, pages = {53}, institution = {National Oceanic and Atmospheric Administration (NOAA), National Ocean Survey (NOS)}, chapter = {NOAA Technical Memorandum NOS CS 32}, address = {Silver Spring, MD}, abstract = {
National Oceanic and Atmospheric Administration (NOAA) hydrographic data is typically acquired using sonar systems, with a small percent acquired via airborne lidar bathymetry for near-shore areas. This study investigated an integrated approach for meeting NOAA\’s hydrographic survey requirements for near-shore areas of NOAA charts, using the existing topographic-bathymetric lidar data from USACE\’s National Coastal Mapping Program (NCMP). Because these existing NCMP bathymetric lidar datasets were not collected to NOAA hydrographic surveying standards, it is unclear if, and under what circumstances, they might aid in meeting certain hydrographic surveying requirements. The NCMP\’s bathymetric lidar data are evaluated through a comparison to NOAA\’s Office of Coast Survey hydrographic data derived from acoustic surveys. As a result, it is possible to assess if NCMP\’s bathymetry can be used to fill in the data gap shoreward of the navigable area limit line (0 to 4 meters) and if there is potential for applying NCMP\’s bathymetry lidar data to near-shore areas deeper than 10 meters. Based on the study results, recommendations will be provided to NOAA for the site conditions where this data will provide the most benefit. Additionally, this analysis may allow the development of future operating procedures and workflows using other topographic-bathymetric lidar datasets to help update near-shore areas of the NOAA charts.
}, keywords = {airborne bathymetric lidar, hydrography, Integrated Ocean and Coastal Mapping, near-shore bathymetry, topographic-bathymetric lidar}, author = {Imahori, Gretchen and Ferguson, Jeff and Wozumi, Toshi and Scharff, Dave and S. Pe{\textquoteright}eri and Christopher E Parrish and White, Stephen A and Jeong, Inseong and Sellars, Jon and Aslaksen, Michael} } @article {4783, title = {A dual-spectrometer approach to reflectance measurements under sub-optimal sky conditions}, volume = {20}, year = {2012}, month = {In press}, publisher = {The Optical Society (OSA)}, abstract = {Abstract: This paper presents a practical method for the development of spectral reflectance libraries under sub-optimal sky conditions.\ Although there are commercially available spectrometers which simultaneously measure both downwelling and upwelling radiance to mitigate the impact of sub-optimal sky conditions, these spectrometers only record in the visible and near infra-red.\ There are presently no commercially available spectrometers with this capability that can record the visible through short-wave infra-red.\ This paper presents a practical method of recording and processing data using coordinated measurements from two full-range spectrometers and discusses potential pitfalls and solutions required to achieve accurate reflectance spectra.\ Results demonstrate that high-quality spectral reflectance libraries can be developed with this approach.
}, keywords = {Spectrometers and spectroscopic instrumentation, Spectroscopy}, url = {http://www.opticsinfobase.org/oe/home.cfm}, author = {Bachmann, Charles M and Montes, Marcos J and Christopher E Parrish and Fusina, Robert A and C. Reid Nichols and Rong-Rong Li and Eric Hallenborg and Christopher A. Jones and Krista Lee and Sellars, Jon and White, Stephen A and John C. Fry} } @proceedings {5124, title = {Linking goniometer measurements to hyperspectral and multi-sensor imagery for retrieval of beach properties and coastal characterization}, volume = {Vol. 8390}, year = {2012}, month = {April 23 - 27}, publisher = {SPIE}, address = {Baltimore, MD}, abstract = {In June 2011, a multi-sensor airborne remote sensing campaign was flown at the Virginia Coast Reserve Long Term Ecological Research site with coordinated ground and water calibration and validation (cal/val) measurements. Remote sensing imagery acquired during the ten day exercise included hyperspectral imagery (CASI-1500), topographic LiDAR, and thermal infra-red imagery, all simultaneously from the same aircraft. Airborne synthetic aperture radar (SAR) data acquisition for a smaller subset of sites occurred in September 2011 (VCR\’11). Focus areas for VCR\’11 were properties of beaches and tidal flats and barrier island vegetation and, in the water column, shallow water bathymetry. On land, cal/val emphasized tidal flat and beach grain size distributions, density, moisture content, and other geotechnical properties such as shear and bearing strength (dynamic deflection modulus), which were related to hyperspectral BRDF measurements taken with the new NRL Goniometer for Outdoor Portable Hyperspectral Earth Reflectance (GOPHER). This builds on our earlier work at this site in 2007 related to beach properties and shallow water bathymetry. A priority for VCR\’11 was to collect and model relationships between hyperspectral imagery, acquired from the aircraft at a variety of different phase angles, and geotechnical properties of beaches and tidal flats. One aspect of this effort was a demonstration that sand density differences are observable and consistent in reflectance spectra from GOPHER data, in CASI hyperspectral imagery, as well as in hyperspectral goniometer measurements conducted in our laboratory after VCR\’11.
}, url = {http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1354567}, author = {Bachmann, Charles M and Gray, Deric and Abelev, Andrei and Philpot, William D and Montes, Marcos J and Fusina, Robert A and Musser, Joseph and Rong-Rong Li and Vermillion, Michael and Gabriel M Smith and Korwan, D and Snow, Charlotte and Miller, W. David and Gardner, Joan and Sletten, Mark and Georgiev, Georgi and Truitt, B and Kilmon, Marcus and Sellars, Jon and Woolard, J and Christopher E Parrish and Schwarzschild, A} } @article {, title = {Retrieval of Substrate Bearing Strength from Hyperspectral Imagery during the Virginia Coast Reserve (VCR{\textquoteright}07) Multi-Sensor Campaign}, volume = {33}, number = {2}, year = {2010}, pages = {101-116}, publisher = {Taylor \& Francis}, keywords = {Optical Imagery}, author = {Bachmann, Charles M and Nichols, C R and Montes, Marcos J and Rongxing Li and Woodward, P and Fusina, Robert A and Chen, W and V Mishra and Kim, W and Monty, J and McIlhany, K and Kessler, K and Korwan, D and Millar, W D and Bennert, E and Gabriel M Smith and Gillis, D and Sellars, Jon and Christopher E Parrish and Schwarzschild, A and Truitt, B} } @proceedings {, title = {Bathymetric Attributed Grids (BAGs): Discovery of Marine Datasets and Geospatial Metadata Visualization}, year = {2010}, month = {Jun 21 - Jun 23}, address = {Quebec City, Quebec, Canada}, keywords = {The Nave Surface and BAG{\textquoteright}s}, author = {Schwehr, Kurt and Andrew A. Armstrong and Brennan, Rick T and Fischman, David and Sellars, Jon and Smith, Shep M} } @proceedings {, title = {Geodatabase Development to Support Hyperspectral Imagery Exploitation}, year = {2010}, month = {Jul 25 - Oct 30}, address = {Honolulu, HI, USA}, keywords = {Optical Imagery}, author = {Fusina, Robert A and John C. Fry and Nichols, C R and Bachmann, Charles M and Rongxing Li and Sellars, Jon and Christopher E Parrish and Montes, Marcos J and Gross, C and White, Stephen A and Lee, K and Christopher A. Jones} } @article {, title = {Bathymetry Retrieval from Hyperspectral Imagery in the Very Shallow Water Limit: a Case Study from the 2007 Virginia Coast Reserve (VCR\’07) Multi-Sensor Campaign}, volume = {33}, number = {1}, year = {2010}, pages = {53-75}, publisher = {Taylor \& Francis}, keywords = {Optical Imagery}, author = {Bachmann, Charles M and Montes, Marcos J and Fusina, Robert A and Christopher E Parrish and Sellars, Jon and Weidemann, A and Goode, W and Nichols, C R and Woodward, P and McIlhany, K and Hill, V and Zimmerman, R and Korwan, D and Truitt, B and Schwarzschild, A} } @article {, title = {Discovery of Marine Datasets and Geospatial Metadata Visualization}, year = {2009}, month = {Dec 14 - Dec 18}, address = {San Francisco, CA, USA}, keywords = {Chart of the Future}, author = {Schwehr, Kurt and Brennan, Rick T and Sellars, Jon and Smith, Shep M} } @article {, title = {Shoreline Mapping with Lidar and HSI-Derived Bathymetry}, year = {2008}, month = {Oct 7 - Oct 8}, address = {Silver Springs, MD, USA}, keywords = {LIDAR}, author = {Christopher E Parrish and Sellars, Jon and White, Stephen A and Bachmann, Charles M and Montes, Marcos J and Fusina, Robert A} } @proceedings {3198, title = {Very Shallow Water Bathymetry Retrieval from Hyperspectral Imagery at the Virginia Coast Reserve (VCR\’07) Multi-Sensor Campaign}, year = {2008}, month = {Jul 6 - Jul 11}, edition = {28th}, address = {Boston, MA, USA}, keywords = {Other}, author = {Bachmann, Charles M and Montes, Marcos J and Fusina, Robert A and Christopher E Parrish and Sellars, Jon and Weidemann, A and Goode, W and Hill, V and Zimmerman, R and Nichols, C R and Woodward, P and McIlhany, K and Korwan, D and Crawford, M and Monty, J and Truitt, B and Schwarzschild, A} } @proceedings {3114, title = {Empirical Analysis of Aerial Camera Filters for Shoreline Mapping}, year = {2005}, month = {Mar 7 - Mar 11}, address = {Baltimore, MD, USA}, keywords = {Optical Imagery}, author = {Christopher E Parrish and Sault, Maryellen and White, Stephen A and Sellars, Jon} } @proceedings {3113, title = {A Sensor Fusion Approach to Coastal Mapping}, year = {2005}, month = {Jul 17 - Jul 21}, chapter = {14th Biennial }, address = {New Orleans, LA, USA}, keywords = {LIDAR}, author = {Sault, Maryellen and Christopher E Parrish and White, Stephen A and Sellars, Jon and Woolard, J} }