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• W2316742419 abstract "Precise sensor positioning is critical to geophysical data collection and analysis. Positioning presents a special challenge in the woods, urban canyons and other areas where GPS does not perform well or at all. Efficient data acquisition, assurance of spatial coverage, and sensor data interpretation and analysis all require high-quality position data tightly correlated with sensor data. Improvements in underground feature/target characterization are critically reliant on the quality of the geolocation data. These approaches demonstrate the range of solutions which ENSCO has developed and demonstrated that may be considered for a particular application regardless of GPS coverage: Ranger – A local area radio-frequency positioning system, primarily applicable in wooded terrain. Integrated with an EM61 and a Geometrics G-858 for UXO surveying. Bloodhound – A GPS/inertial integrated system. Integrated with a Geometrics G-858 for meandering path data collection. SAINT – A high-precision (< 2 cm error) for local-area target characterization. Integrated with a Geonics EM61-HH for UXO characterization. RTOP – A super-precise (< 2 mm error) positioning system for ground-penetrating radar imaging. Integrated with a GSSI SIR-3000 for concrete imaging. There is no single GPS-denied technology for geophysics. The requirements for each application need to be understood and then matched to the available technology. Geolocation in Geophysics Precise sensor positioning reduces data collection times and improves the quality of geophysical data. In some field scenarios, the practice of gridding the collection area is not feasible due to blocking vegetation, blocking structures, uneven landscape, or limited time in the field. Meandering path geolocation tools allow the operator to optimize data collection coverage while dodging obstructions. Even where gridding of the coverage area is possible, knowing the precise location of each data collection within the grid can improve data inversion and interpretation. As sensor technologies and processing techniques improve, positioning precision must keep pace. The same factors that necessitate precise sensor positioning often limit the availability of highquality GPS signal. GPS requires an unobstructed view of the satellite constellation with high angular diversity. In wooded areas, urban and natural canyons, and inside structures, this view is significantly blocked. This work focuses on tools developed for GPS-denied geolocation in three application areas: UXO detection, UXO discrimination, and concrete imaging. Precise Positioning in UXO Detection UXO detection and cleanup efforts occur in various terrains. In wooded terrain, overhead vegetation blocks or reduces signal strength necessary for precise sensor location using GPS. The geophysical data collected, however, guides digging efforts, which are time-consuming and fruitless if they occur at the wrong location. The trunks of trees which may block GPS also block the line of sight" @default.
• W2316742419 created "2016-06-24" @default.
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• W2316742419 date "2008-01-01" @default.
• W2316742419 modified "2023-10-16" @default.
• W2316742419 title "GPS-Denied Geolocation For Geophysical Data Acquisition And Analysis" @default.
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• W2316742419 doi "https://doi.org/10.3997/2214-4609-pdb.177.182" @default.
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