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Physical Sciences and Mathematics Commons

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Oceanography and Atmospheric Sciences and Meteorology

University of New Hampshire

Coast type

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Physical Sciences and Mathematics

Linking Goniometer Measurements To Hyperspectral And Multi-Sensor Imagery For Retrieval Of Beach Properties And Coastal Characterization, Charles M. Bachmann, Deric Gray, Andrei Abelev, William D. Philpot, Marcos J. Montes, Robert A. Fusina, Joseph Musser, Rong-Rong Li, Michael Vermillion, Geoffrey Smith, Daniel Korwan, Charlotte Snow, David W. Miller, Joan Gardner, Matt Sletten, Georgi Georgiev, Barry Truitt, Marcus Kilmon, Jon Sellars, Jason Woolard, Christopher Parrish, A. Schwarzschild May 2012

Linking Goniometer Measurements To Hyperspectral And Multi-Sensor Imagery For Retrieval Of Beach Properties And Coastal Characterization, Charles M. Bachmann, Deric Gray, Andrei Abelev, William D. Philpot, Marcos J. Montes, Robert A. Fusina, Joseph Musser, Rong-Rong Li, Michael Vermillion, Geoffrey Smith, Daniel Korwan, Charlotte Snow, David W. Miller, Joan Gardner, Matt Sletten, Georgi Georgiev, Barry Truitt, Marcus Kilmon, Jon Sellars, Jason Woolard, Christopher Parrish, A. Schwarzschild

Center for Coastal and Ocean Mapping

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 …


Geodatabase Development To Support Hyperspectral Imagery Exploitation, Robert A. Fusina, John C. Fry, C Reid Nichols, Charles M. Bachmann, Rong-Rong Li, Jon Sellars, Christopher Parrish, Marcos J. Montes, Carl Gross, Stephen A. White, Krista Lee, Christopher A. Jones Jul 2010

Geodatabase Development To Support Hyperspectral Imagery Exploitation, Robert A. Fusina, John C. Fry, C Reid Nichols, Charles M. Bachmann, Rong-Rong Li, Jon Sellars, Christopher Parrish, Marcos J. Montes, Carl Gross, Stephen A. White, Krista Lee, Christopher A. Jones

Center for Coastal and Ocean Mapping

Geodatabase development for coastal studies conducted by the Naval Research Laboratory (NRL) is essential to support the exploitation of hyperspectral imagery (HSI). NRL has found that the remote sensing and mapping science community benefits from coastal classifications that group coastal types based on similar features. Selected features in project geodatabases relate to significant biological and physical forces that shape the coast. The project geodatabases help researchers understand factors that are necessary for imagery post processing, especially those features having a high degree of temporal and spatial variability. NRL project geodatabases include a hierarchy of environmental factors that extend from shallow …