Tony Fountain - Academia.edu (original) (raw)
Papers by Tony Fountain
Hyperspectral images are collected using Airborne Visible/Infrared Imaging Spectrometer (Aviris) ... more Hyperspectral images are collected using Airborne Visible/Infrared Imaging Spectrometer (Aviris) optical sensors [1]. 224 contiguous channels are measured across the spectral range, from 400 to 2500 nanometers. We present a system for the automatic classification of land cover using hyperspectral images, and propose an architecture for deploying the system in a grid environment that harnesses distributed file storage and CPU
The vision of large-scale sensor-based Observing Systems to address the National Research Council... more The vision of large-scale sensor-based Observing Systems to address the National Research Council's "Grand Challenges" for environmental science relies on robust cyberinfrastructure. Environmental science and engineering communities are now actively engaged in the early planning and development phases of the next generation of large-scale sensor-based observing systems. Streaming data middleware is a layer above the network that provides several key functions: robustness, device abstraction, scalability, buffering and routing. All of these assist in the design, deployment and management of large sensor networks. RBNB (Ring Buffer Network Bus) DataTurbine is a newly open-sourced system for streaming data middleware that is being used in a variety of projects. Formerly a successful commercial streaming data product with a track record of performance in NSF and NASA projects, RBNB DataTurbine provides an excellent basis for developing robust streaming data middleware. We are working on several efforts to deploy, improve and adapt DataTurbine for observational cyberinfrastructure. Performance metrics, documentation, instrument interfaces, web access to live data, system health monitoring, database backends as well as scalability experiments are all underway. Additionally, we are attempting to build a community of developers and users around the project to provide for the kind of longevity required in long-term projects. In this paper we discuss our results to date with RBNB DataTurbine on a variety of projects from ecological to earthquake engineering.
We are now in an era of intensive earth observation. Orbital platforms generate myriad remote sen... more We are now in an era of intensive earth observation. Orbital platforms generate myriad remote sensing datastreams across a range of spatial, temporal, spectral, and radiometric resolutions. The number and variety of "eyes in the skies" are scheduled to increase significantly over the next few years. This veritable data deluge necessitates new ways of thinking about transforming remote sensing data into information about ecological patterns and processes. These datastreams hold the promise for environmental decision support. Effective use of remote sensing datastreams to characterize and monitor landscape dynamics requires analysis of the temporal variations in spatial patterns. We can distinguish four main phases in the analysis of image time series (Henebry and Goodin 2002): (1) change detection---perceiving the differences; (2) change quantification---measuring the magnitudes of the differences; (3) change assessment---determining whether the differences are significant;...
As Conference Chair, it is my pleasure to welcome you to dg.o 2002, the second annual National Co... more As Conference Chair, it is my pleasure to welcome you to dg.o 2002, the second annual National Conference on Digital Government Research. Dg.o 2002 is the only national conference to bring together computer- and social science researchers, government officials ...
The Coral Reef Ecological Observatory Network (CREON) is a grass-roots, self-assembled group of c... more The Coral Reef Ecological Observatory Network (CREON) is a grass-roots, self-assembled group of coral reef scientists and engineers working to advance an understanding of coral reef dynamics by facilitating the development of practical environmental sensor networks. One of the goals of the group is to develop integrated data products and outcomes from the various CREON sites. This paper presents an overview of the use of cloud computing based data architectures, such as Pachube, to deliver integrated data outcomes using a range of disparate real time data from each site. The outputs include simple event detection systems with alerts delivered to social network sites such as 'Twitter'. This allows the multitude of collected data to be reduced to a small number of interesting or meaningful events. The system is being used to identify local events that may have a global context and as a tool for monitoring these sites. The group also has developed a suite of technologies that l...
Proceedings of the 2006 national conference on Digital government research - dg.o '06, 2006
Advanced Sensor Technologies for Nondestructive Evaluation and Structural Health Monitoring, 2005
Smart Nondestructive Evaluation and Health Monitoring of Structural and Biological Systems II, 2003
ABSTRACT
2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information, 2007
2009 IEEE 34th Conference on Local Computer Networks, 2009
Abstract Studying animal movement and distribution is of critical importance to addressing enviro... more Abstract Studying animal movement and distribution is of critical importance to addressing environmental challenges including invasive species, infectious diseases, climate and land-use change. Motion sensitive camera traps offer a visual sensor to record the presence of a species at a location, recording their movement in the Eulerian sense. Modern digital camera traps that record video present new analytical opportunities, but also new data management challenges. This paper describes our experience with a year-long terrestrial ...
Third IEEE International Conference on e-Science and Grid Computing (e-Science 2007), 2007
2006 IEEE International Conference on Web Services (ICWS'06), 2006
Hyperspectral images are collected using Airborne Visible/Infrared Imaging Spectrometer (Aviris) ... more Hyperspectral images are collected using Airborne Visible/Infrared Imaging Spectrometer (Aviris) optical sensors [1]. 224 contiguous channels are measured across the spectral range, from 400 to 2500 nanometers. We present a system for the automatic classification of land cover using hyperspectral images, and propose an architecture for deploying the system in a grid environment that harnesses distributed file storage and CPU
The vision of large-scale sensor-based Observing Systems to address the National Research Council... more The vision of large-scale sensor-based Observing Systems to address the National Research Council's "Grand Challenges" for environmental science relies on robust cyberinfrastructure. Environmental science and engineering communities are now actively engaged in the early planning and development phases of the next generation of large-scale sensor-based observing systems. Streaming data middleware is a layer above the network that provides several key functions: robustness, device abstraction, scalability, buffering and routing. All of these assist in the design, deployment and management of large sensor networks. RBNB (Ring Buffer Network Bus) DataTurbine is a newly open-sourced system for streaming data middleware that is being used in a variety of projects. Formerly a successful commercial streaming data product with a track record of performance in NSF and NASA projects, RBNB DataTurbine provides an excellent basis for developing robust streaming data middleware. We are working on several efforts to deploy, improve and adapt DataTurbine for observational cyberinfrastructure. Performance metrics, documentation, instrument interfaces, web access to live data, system health monitoring, database backends as well as scalability experiments are all underway. Additionally, we are attempting to build a community of developers and users around the project to provide for the kind of longevity required in long-term projects. In this paper we discuss our results to date with RBNB DataTurbine on a variety of projects from ecological to earthquake engineering.
We are now in an era of intensive earth observation. Orbital platforms generate myriad remote sen... more We are now in an era of intensive earth observation. Orbital platforms generate myriad remote sensing datastreams across a range of spatial, temporal, spectral, and radiometric resolutions. The number and variety of "eyes in the skies" are scheduled to increase significantly over the next few years. This veritable data deluge necessitates new ways of thinking about transforming remote sensing data into information about ecological patterns and processes. These datastreams hold the promise for environmental decision support. Effective use of remote sensing datastreams to characterize and monitor landscape dynamics requires analysis of the temporal variations in spatial patterns. We can distinguish four main phases in the analysis of image time series (Henebry and Goodin 2002): (1) change detection---perceiving the differences; (2) change quantification---measuring the magnitudes of the differences; (3) change assessment---determining whether the differences are significant;...
As Conference Chair, it is my pleasure to welcome you to dg.o 2002, the second annual National Co... more As Conference Chair, it is my pleasure to welcome you to dg.o 2002, the second annual National Conference on Digital Government Research. Dg.o 2002 is the only national conference to bring together computer- and social science researchers, government officials ...
The Coral Reef Ecological Observatory Network (CREON) is a grass-roots, self-assembled group of c... more The Coral Reef Ecological Observatory Network (CREON) is a grass-roots, self-assembled group of coral reef scientists and engineers working to advance an understanding of coral reef dynamics by facilitating the development of practical environmental sensor networks. One of the goals of the group is to develop integrated data products and outcomes from the various CREON sites. This paper presents an overview of the use of cloud computing based data architectures, such as Pachube, to deliver integrated data outcomes using a range of disparate real time data from each site. The outputs include simple event detection systems with alerts delivered to social network sites such as 'Twitter'. This allows the multitude of collected data to be reduced to a small number of interesting or meaningful events. The system is being used to identify local events that may have a global context and as a tool for monitoring these sites. The group also has developed a suite of technologies that l...
Proceedings of the 2006 national conference on Digital government research - dg.o '06, 2006
Advanced Sensor Technologies for Nondestructive Evaluation and Structural Health Monitoring, 2005
Smart Nondestructive Evaluation and Health Monitoring of Structural and Biological Systems II, 2003
ABSTRACT
2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information, 2007
2009 IEEE 34th Conference on Local Computer Networks, 2009
Abstract Studying animal movement and distribution is of critical importance to addressing enviro... more Abstract Studying animal movement and distribution is of critical importance to addressing environmental challenges including invasive species, infectious diseases, climate and land-use change. Motion sensitive camera traps offer a visual sensor to record the presence of a species at a location, recording their movement in the Eulerian sense. Modern digital camera traps that record video present new analytical opportunities, but also new data management challenges. This paper describes our experience with a year-long terrestrial ...
Third IEEE International Conference on e-Science and Grid Computing (e-Science 2007), 2007
2006 IEEE International Conference on Web Services (ICWS'06), 2006