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Optimal Band Selection For Hyperspectral Remote Sensing Of Aquatic Benthic Features - A Wavelet Filter Window Approach, Charles R. Bostater Oct 2006

Optimal Band Selection For Hyperspectral Remote Sensing Of Aquatic Benthic Features - A Wavelet Filter Window Approach, Charles R. Bostater

Ocean Engineering and Marine Sciences Faculty Publications

This paper describes a wavelet based approach to derivative spectroscopy. The approach is utilized to select, through optimization, optimal channels or bands to use as derivative based remote sensing algorithms. The approach is applied to airborne and modeled or synthetic reflectance signatures of environmental media and features or objects within such media, such as benthic submerged vegetation canopies. The technique can also applied to selected pixels identified within a hyperspectral image cube obtained from an board an airborne, ground based, or subsurface mobile imaging system. This wavelet based image processing technique is an extremely fast numerical method to conduct higher …


A Pixel To Pixel Hyperspectral Synthetic Image Model Inter-Comparison Study, Charles R. Bostater, Luce Bassetti Oct 2006

A Pixel To Pixel Hyperspectral Synthetic Image Model Inter-Comparison Study, Charles R. Bostater, Luce Bassetti

Ocean Engineering and Marine Sciences Faculty Publications

The purpose of this paper is to present simulation results comparing e a Monte Carlo Hyperspectral Simulation Model (MCHSIM) which generates synthetic images with realistic water wave surface to an iterative layered radiative transfer model used to generate hyperspectral synthetic images with realistic water wave surfaces. The Monte Carlo model is divided into 5 steps: (1) generation of the photons, (2) tracking of the photon optical path and simultaneously (3) recording of the photon's location within the water column, (4) a tabulation of the photon location or positions, and conversion to meaningful radiometric quantities and (5) a calculation and processing …


Sensor Motion Control & Mobile Platforms For Aquatic Remote Sensing, Charles R. Bostater Oct 2006

Sensor Motion Control & Mobile Platforms For Aquatic Remote Sensing, Charles R. Bostater

Ocean Engineering and Marine Sciences Faculty Publications

Modern remote sensing systems used in repetitive environmental monitoring and surveillance applications are used on various platforms. These platforms can be categorized as stationary (fixed) or moving platforms. The sensing systems monitor the ambient environment which also may have inherent motion, such as the water surface with water waves. This is particularly the case for airborne or ship borne sensing of aquatic environments and is true for ground based walking or crawling systems. The time sequential comparison and spatial registration of sensor images, particularly "hyperspectral imagery" requires pixel to pixel registration for science based change and target (or medium) detection …


Implementation Of A Ground Truth Process For Development Of A Submerged Aquatic Vegetation (Sav) Mapping Protocol Using Hyperspectral Imagery, Carlton R. Hall, Charles R. Bostater, Robert W. Virnstein Sep 2006

Implementation Of A Ground Truth Process For Development Of A Submerged Aquatic Vegetation (Sav) Mapping Protocol Using Hyperspectral Imagery, Carlton R. Hall, Charles R. Bostater, Robert W. Virnstein

Ocean Engineering and Marine Sciences Faculty Publications

Protocol development for science based mapping of submerged aquatic vegetation (SAV) requires comprehensive ground truth data describing the full range of variability observed in the target. The Indian River Lagoon, Florida, extends along 250 km of the east central Florida coast adjacent to the Atlantic Ocean. The lagoon crosses the transition zone between the Caribbean and Carolinian zoogeographic provinces making it highly diverse. For large scale mapping and management of SAV four common and three uncommon species of seagrass (Tracheophyta) and three broad groups of macroalgae; red algae (Rhodophyta), green algae (Chlorophyta), and brown algae (Phaeophyta) are recognized. Based on …


Transport Of Spring Floodwater From Rivers Under Ice To The Alaskan Beaufort Sea, Matthew B. Alkire, John H. Trefry Jan 2006

Transport Of Spring Floodwater From Rivers Under Ice To The Alaskan Beaufort Sea, Matthew B. Alkire, John H. Trefry

Ocean Engineering and Marine Sciences Faculty Publications

Spring floods carry Alaskan river water north to a frozen Beaufort Sea. A plume of water from the Sagavanirktok River (SR) was identified and traced by measuring salinity, d18O, and dissolved silica in discrete water samples collected beneath landfast ice in the coastal Alaskan Beaufort Sea from late May to early June 2004 during high river flow. An Optimum Multiparameter analysis was used to calculate the fractions of SR water from the measured geochemical parameters. The SR plume followed the northwestward flowing local circulation and moved ~17 km north and ~15 km west under ice from the river mouth. The …


Reply To Comment By Cristina Archer And Mark Jacobson On ‘‘Evaluation Of A Wind Power Parameterization Using Tower Observations’’, Steven Lazarus, Jennifer Bewley Jan 2006

Reply To Comment By Cristina Archer And Mark Jacobson On ‘‘Evaluation Of A Wind Power Parameterization Using Tower Observations’’, Steven Lazarus, Jennifer Bewley

Ocean Engineering and Marine Sciences Faculty Publications

The Lazarus and Bewley [2005] (hereinafter referred to as LB05) evaluation of the Archer and Jacobson [2003] (hereinafter referred to as AJ03) methodology was designed to examine various sensitivities of a wind power parameterization that was applied globally to estimate 80-m wind power. AJ03 has since been updated in a sequence of papers which has, in part, resulted in a reduction of their original power estimates due to some changes in their basic equations. The motivation for the LB05 work can be found in AJ03’s Figure 3 which indicates annual wind power estimates of class 6 and 7 effectively collocated …