Justin Hogan - Academia.edu (original) (raw)
Papers by Justin Hogan
Experimental Conformation of Ionizing Sensing for Space Radiation Environmental Awareness
IEEE Sensors Journal, 2016
Agu Fall Meeting Abstracts, Dec 1, 2010
As part of the Zero Emissions Research and Technology (ZERT) program, we have been investigating ... more As part of the Zero Emissions Research and Technology (ZERT) program, we have been investigating the viability of ground-based multi-spectral imaging for detecting vegetation change as an indicator of CO2 leaking from underground carbon sequestration facilities. Two compact multi-spectral imagers have been deployed on a 3-m-tall tower in controlled CO2 release experiments at Montana State University in Bozeman, Montana during the summers of 2009 and 2010. With spectral sensitivities in the red and near-infrared bands, these systems were used to gather images of vegetation near the subsurface CO2 release source. These data were analyzed to study time-series trends in the Normalized Difference Vegetation Index (NDVI) for vegetation exposed to elevated levels of CO2. The NDVI provides a numerical representation of vegetation vigor that reflects the effects of CO2 on affected vegetation. Presented topics include a summary of data from the summer 2010 experiment, a comparison of 2009 and 2010 data, and comments on a practical approach to automated CO2 leak event signaling based on vegetation changes observed in multi-spectral imagery.
Power efficiency benchmarking of a partially reconfigurable, many-tile system implemented on a Xilinx Virtex-6 FPGA
2013 International Conference on Reconfigurable Computing and FPGAs (ReConFig), 2013
Power efficiency in a partially reconfigurable multiprocessor system
Proceedings of the 27th international ACM conference on International conference on supercomputing - ICS '13, 2013
ABSTRACT
Network-on-chip for a partially reconfigurable FPGA system
Proceedings of the 27th international ACM conference on International conference on supercomputing - ICS '13, 2013
ABSTRACT
A network-on-chip for radiation tolerant, multi-core FPGA systems
2014 IEEE Aerospace Conference, 2014
Thermal Imaging of Vegetation for Detecting Leaking CO2 in a Near-Surface Release Experiment
Recent controlled release experiments have shown that CO2 gas leaking from underground can be det... more Recent controlled release experiments have shown that CO2 gas leaking from underground can be detected indirectly through multispectral imaging of vegetation in the visible and near-infrared spectral regions, relying on temporal and spatial changes in the normalized difference vegetation index (NDVI). This presentation now demonstrates that long-wave infrared thermal imaging of the same vegetation can also be used to detect leaking CO2. Vegetation exposed to elevated levels of CO2 exhibit less-effective temperature regulation throughout the day compared to healthy vegetation (which has only been exposed to background CO2 levels). Therefore, the location of a CO2 leak can be detected by examining the spatial variability in the diurnal variation of the vegetation's infrared brightness temperature. Vegetation exposed to CO2 will exhibit a diurnal variation that grows as the plants become increasingly stressed. This occurs because the exposed vegetation becomes less capable of self-...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2012
Multispectral vegetation reflectance measurements were used as an indirect method of sensing CO g... more Multispectral vegetation reflectance measurements were used as an indirect method of sensing CO gas leaking from underground in a controlled release experiment in Bozeman, Montana, USA. The leak location is identified through time-series analysis of the reflectances and the normalized difference vegetation index (NDVI), evaluated at a test location and a control location. Vegetation reflectance changes that correlated with root-level CO exposure were distinguishable from changes attributed to seasonal factors including precipitation, wind, air temperature variation, etc. The NDVI of the vegetation became steadily smaller until saturating approximately twenty days after the beginning of the release. However, before reaching the threshold values, both reflectance and NDVI values changed more rapidly when exposed to elevated CO fluxes.
Comparison of Long-Wave Infrared Imaging and Visible/Near-Infrared Imaging of Vegetation for Detecting Leaking ${\rm CO}_2$ Gas
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014
ABSTRACT Recent research demonstrated that mmbCOmmb2{mmb CO}_{mmb 2}mmbCOmmb2 gas leaking from underground can be... more ABSTRACT Recent research demonstrated that mmbCOmmb2{mmb CO}_{mmb 2}mmbCOmmb2 gas leaking from underground can be identified by observing increased stress in overlying vegetation using spectral imaging. This has been accomplished with both visible/near-infrared (Vis/NIR) sunlight reflection and long-wave infrared (LWIR) thermal emission. During a 4-week period in summer 2011, a controlled mmbCOmmb2{mmb CO}_{mmb 2}mmbCOmmb2 release experiment was conducted in Bozeman, Montana, as part of a study of methods for monitoring carbon sequestration facilities. As part of this experiment, reflective and emissive imagers were deployed together to enable a comparison of these two types of imaging systems for vegetation-based mmbCOmmb2{mmb CO}_{mmb 2}mmbCOmmb2 leak detection. A linear regression was performed using time as the response variable with red and NIR reflectances, Normalized Difference Vegetation Index (NDVI), and LWIR brightness temperature as predictors. The regression study showed that the reflectance and LWIR brightness temperature data together explained the most variability in the data (96%), equal to the performance of the Vis/NIR reflectance data alone, followed by NDVI alone (90%), and LWIR data alone (44%). Therefore, the two types of imagers contributed in a synergistic fashion, while either method alone was capable of gas detection with increased statistical variability.
Investigating the Fundamental Scientific Issues Affecting the Long-term Geologic Storage of Carbon Dioxide
Applied Optics, 2012
As a component of a multisensor approach to monitoring carbon sequestration sites for possible le... more As a component of a multisensor approach to monitoring carbon sequestration sites for possible leaks of the CO 2 gas from underground reservoirs, a low-cost multispectral imaging system has been developed for indirect detection of gas leaks through observations of the resulting stress in overlying vegetation. The imager employs front-end optics designed to provide a full 50°field of view with a small, low-cost CMOS detector, while still maintaining quasi-collimated light through the angle-dependent interference filters used to define the spectral bands. Red and near-infrared vegetation reflectances are used to compute the normalized difference vegetation index (NDVI) and spatial and temporal patterns are analyzed statistically to identify regions of anomalous stress, which are then flagged for closer inspection with in-situ CO 2 sensors. The system is entirely self-contained with an onboard compact computer and is housed in a weather-proof housing to enable extended outdoor deployment.
Journal of Computational Engineering, 2015
Thermal analysis was required in order to aid in the design and testing of a radiation tolerant c... more Thermal analysis was required in order to aid in the design and testing of a radiation tolerant computing (RTC) system using a radiation sensor. During development of the system, different test beds were employed in order to characterize the radiation sensor and its supporting electronic systems. The most common preliminary tests are high altitude balloon tests which allow the sensor to experience cosmic radiation at high altitudes, consistent with space flight operations. In this study, finite element analysis (FEA) was used to evaluate primary system architecture, system support structures, and the flight payload in order to determine if the system would survive preliminary and future testing. ANSYS FEA software was used to create thermal models which accurately simulated convective cooling, system heat generation, and solar radiation loading on the exterior of the payload. The results of the models were then used to optimize payload PC board (PCB) design to ensure that the internal electronic systems would be within acceptable operating temperatures.
Experimental Conformation of Ionizing Sensing for Space Radiation Environmental Awareness
IEEE Sensors Journal, 2016
Agu Fall Meeting Abstracts, Dec 1, 2010
As part of the Zero Emissions Research and Technology (ZERT) program, we have been investigating ... more As part of the Zero Emissions Research and Technology (ZERT) program, we have been investigating the viability of ground-based multi-spectral imaging for detecting vegetation change as an indicator of CO2 leaking from underground carbon sequestration facilities. Two compact multi-spectral imagers have been deployed on a 3-m-tall tower in controlled CO2 release experiments at Montana State University in Bozeman, Montana during the summers of 2009 and 2010. With spectral sensitivities in the red and near-infrared bands, these systems were used to gather images of vegetation near the subsurface CO2 release source. These data were analyzed to study time-series trends in the Normalized Difference Vegetation Index (NDVI) for vegetation exposed to elevated levels of CO2. The NDVI provides a numerical representation of vegetation vigor that reflects the effects of CO2 on affected vegetation. Presented topics include a summary of data from the summer 2010 experiment, a comparison of 2009 and 2010 data, and comments on a practical approach to automated CO2 leak event signaling based on vegetation changes observed in multi-spectral imagery.
Power efficiency benchmarking of a partially reconfigurable, many-tile system implemented on a Xilinx Virtex-6 FPGA
2013 International Conference on Reconfigurable Computing and FPGAs (ReConFig), 2013
Power efficiency in a partially reconfigurable multiprocessor system
Proceedings of the 27th international ACM conference on International conference on supercomputing - ICS '13, 2013
ABSTRACT
Network-on-chip for a partially reconfigurable FPGA system
Proceedings of the 27th international ACM conference on International conference on supercomputing - ICS '13, 2013
ABSTRACT
A network-on-chip for radiation tolerant, multi-core FPGA systems
2014 IEEE Aerospace Conference, 2014
Thermal Imaging of Vegetation for Detecting Leaking CO2 in a Near-Surface Release Experiment
Recent controlled release experiments have shown that CO2 gas leaking from underground can be det... more Recent controlled release experiments have shown that CO2 gas leaking from underground can be detected indirectly through multispectral imaging of vegetation in the visible and near-infrared spectral regions, relying on temporal and spatial changes in the normalized difference vegetation index (NDVI). This presentation now demonstrates that long-wave infrared thermal imaging of the same vegetation can also be used to detect leaking CO2. Vegetation exposed to elevated levels of CO2 exhibit less-effective temperature regulation throughout the day compared to healthy vegetation (which has only been exposed to background CO2 levels). Therefore, the location of a CO2 leak can be detected by examining the spatial variability in the diurnal variation of the vegetation's infrared brightness temperature. Vegetation exposed to CO2 will exhibit a diurnal variation that grows as the plants become increasingly stressed. This occurs because the exposed vegetation becomes less capable of self-...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2012
Multispectral vegetation reflectance measurements were used as an indirect method of sensing CO g... more Multispectral vegetation reflectance measurements were used as an indirect method of sensing CO gas leaking from underground in a controlled release experiment in Bozeman, Montana, USA. The leak location is identified through time-series analysis of the reflectances and the normalized difference vegetation index (NDVI), evaluated at a test location and a control location. Vegetation reflectance changes that correlated with root-level CO exposure were distinguishable from changes attributed to seasonal factors including precipitation, wind, air temperature variation, etc. The NDVI of the vegetation became steadily smaller until saturating approximately twenty days after the beginning of the release. However, before reaching the threshold values, both reflectance and NDVI values changed more rapidly when exposed to elevated CO fluxes.
Comparison of Long-Wave Infrared Imaging and Visible/Near-Infrared Imaging of Vegetation for Detecting Leaking ${\rm CO}_2$ Gas
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014
ABSTRACT Recent research demonstrated that mmbCOmmb2{mmb CO}_{mmb 2}mmbCOmmb2 gas leaking from underground can be... more ABSTRACT Recent research demonstrated that mmbCOmmb2{mmb CO}_{mmb 2}mmbCOmmb2 gas leaking from underground can be identified by observing increased stress in overlying vegetation using spectral imaging. This has been accomplished with both visible/near-infrared (Vis/NIR) sunlight reflection and long-wave infrared (LWIR) thermal emission. During a 4-week period in summer 2011, a controlled mmbCOmmb2{mmb CO}_{mmb 2}mmbCOmmb2 release experiment was conducted in Bozeman, Montana, as part of a study of methods for monitoring carbon sequestration facilities. As part of this experiment, reflective and emissive imagers were deployed together to enable a comparison of these two types of imaging systems for vegetation-based mmbCOmmb2{mmb CO}_{mmb 2}mmbCOmmb2 leak detection. A linear regression was performed using time as the response variable with red and NIR reflectances, Normalized Difference Vegetation Index (NDVI), and LWIR brightness temperature as predictors. The regression study showed that the reflectance and LWIR brightness temperature data together explained the most variability in the data (96%), equal to the performance of the Vis/NIR reflectance data alone, followed by NDVI alone (90%), and LWIR data alone (44%). Therefore, the two types of imagers contributed in a synergistic fashion, while either method alone was capable of gas detection with increased statistical variability.
Investigating the Fundamental Scientific Issues Affecting the Long-term Geologic Storage of Carbon Dioxide
Applied Optics, 2012
As a component of a multisensor approach to monitoring carbon sequestration sites for possible le... more As a component of a multisensor approach to monitoring carbon sequestration sites for possible leaks of the CO 2 gas from underground reservoirs, a low-cost multispectral imaging system has been developed for indirect detection of gas leaks through observations of the resulting stress in overlying vegetation. The imager employs front-end optics designed to provide a full 50°field of view with a small, low-cost CMOS detector, while still maintaining quasi-collimated light through the angle-dependent interference filters used to define the spectral bands. Red and near-infrared vegetation reflectances are used to compute the normalized difference vegetation index (NDVI) and spatial and temporal patterns are analyzed statistically to identify regions of anomalous stress, which are then flagged for closer inspection with in-situ CO 2 sensors. The system is entirely self-contained with an onboard compact computer and is housed in a weather-proof housing to enable extended outdoor deployment.
Journal of Computational Engineering, 2015
Thermal analysis was required in order to aid in the design and testing of a radiation tolerant c... more Thermal analysis was required in order to aid in the design and testing of a radiation tolerant computing (RTC) system using a radiation sensor. During development of the system, different test beds were employed in order to characterize the radiation sensor and its supporting electronic systems. The most common preliminary tests are high altitude balloon tests which allow the sensor to experience cosmic radiation at high altitudes, consistent with space flight operations. In this study, finite element analysis (FEA) was used to evaluate primary system architecture, system support structures, and the flight payload in order to determine if the system would survive preliminary and future testing. ANSYS FEA software was used to create thermal models which accurately simulated convective cooling, system heat generation, and solar radiation loading on the exterior of the payload. The results of the models were then used to optimize payload PC board (PCB) design to ensure that the internal electronic systems would be within acceptable operating temperatures.