W. Paul Bissett

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A spectrum-matching and look-up-table (LUT) methodology has been developed and evaluated to extract environmental information from remotely sensed hyperspectral imagery. The LUT methodology works as follows. First, a database of remote-sensing reflectance (Rrs) spectra corresponding to various water depths, bottom reflectance spectra, and water-column(More)
Current ocean color sensors, for example SeaWiFS and MODIS, are well suited for sampling the open ocean. However, coastal environments are spatially and optically more complex and require more frequent sampling and higher spatial resolution sensors with additional spectral channels. We have conducted experiments with data from Hyperion and airborne(More)
Monitoring programs for harmful algal blooms Field data will provide inputs to optically based eco­ (HABs) are currently reactive and provide little or no system models, which are fused to the observational means for advance warning. Given this, the develnetworks through data-assimilation methods. Poten­ opment of algal forecasting systems would be of tial(More)
The optical variations observed within ship wakes are largely due to the generation of copious amounts of air bubbles in the upper ocean, a fraction of which accumulate as foam at the surface, where they release scavenged surfactants. Field experiments were conducted to test previous theoretical predictions of the variations in optical properties that(More)
The calibration of multispectral and hyperspectral imaging systems is typically done in the laboratory using an integrating sphere, which usually produces a signal that is red rich. Using such a source to calibrate environmental monitoring systems presents some difficulties. Not only is much of the calibration data outside the range and spectral quality of(More)
The Coastal Zone Color Scanner (CZCS) on NASA’s Nimbus-7 satellite (1978-1986) demonstrated the utility of ocean color measurements for studying the dynamics of the ocean. The CZCS worked well for the continental shelf and open ocean regions. However, it did not have the spectral and spatial resolution needed to deal with the complexity of the coastal(More)
The prediction of spectral water leaving radiance and remote sensing reflectance from a coupled physical/ecological/optical simulation is one of the goals of the ONR Hyperspectral Coastal Ocean Dynamics Experiment (HyCODE). This goal requires coupling a high-resolution circulation model (ROMS) to provide realistic physical forcing to a dynamic ecological(More)
The prediction of inherent optical properties [IOPs] and water-leaving radiance [Lw] in coastal waters over a 5 to 10 day time horizon will require a numerical simulation that accurately forecasts the physical, ecological, and optical environment. Critical to the ecological and optical forecast is the ability to directly compare the water-leaving radiance(More)
Our objective is to focus on three areas of application research and transitions. First, we will transition our machine learning-based algorithms and computer code for the determination of bathymetry, bottom type, and water column Inherent Optical Properties from HyperSpectral Imagery (HSI) into a deliverable Message Passing Interface (MPI) program that may(More)
This project seeks to develop the technology to fuse high spatial resolution MultiSpectral Imagery (MSI) with lower spatial resolution, but higher spectral resolution, HyperSpectral Imagery (HSI) to provided enhanced target detection and battlespace characterization. It seeks to push beyond traditional PAN sharpening techniques to develop applications that(More)