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Evaluating corrections for a horizontal offset between sensor and position data for surveys on land

Samuël Delefortrie (UGent) , Timothy Saey (UGent) , Jan De Pue (UGent) , Ellen Van De Vijver (UGent) , Philippe De Smedt (UGent) and Marc Van Meirvenne (UGent)
(2016) PRECISION AGRICULTURE. 17(3). p.349-364
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Abstract
When regarding evolutions in land-based, motorized sensor data collection it can be generalized that the speed of surveying, sampling rates, digital communications speed and survey resolutions have increased over the last years. Possibilities for accurate positioning have been following pace. However, a spatial offset between sensor and position data can be necessary to avoid interference with the instrument or can be the result of using a sensor array. It can also be due to practical considerations such as mounting possibilities. Unfortunately a severe degradation of positional accuracy is possible when performing corrections for a spatial offset and quantification of the induced error is quite difficult. As a consequence, the actual positional accuracy of sensor measurements is therefore often omitted or unknown, and a correction may be neglected during data processing. In this paper, accounting for a horizontal (spatial) offset is researched by examining the use of several correction methods. To evaluate the degree of loss of positional accuracy and validate several correction procedures, global navigation satellite system (GNSS) data (with real-time kinematic correction) have been simultaneously collected, using a GNSS receiver that was mounted on an all-terrain vehicle and two other receivers that were mounted near the front and end of an elongated sensor sled. The sled was connected to the towing vehicle using a flexible connection. Since the positioning systems' horizontal accuracies were about 20 mm, it was possible to quantify the horizontal error of the predicted positions for the different correction procedures considered. The best approach for high-resolution surveys, which make use of a connection to a cart or sled that can rotate around a pivot on the towing vehicle, was researched. The strengths and weaknesses of the applied corrections were also evaluated, allowing selection of an appropriate correction for a given survey implementation.
Keywords
Positional accuracy, Spatial offset correction, UXO detection, Near-surface geophysics, GPS, GNSS, SOIL ELECTRICAL-CONDUCTIVITY, ELECTROMAGNETIC INDUCTION, PRECISION AGRICULTURE, EMI SURVEY, VARIABILITY

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Chicago
Delefortrie, Samuël, Timothy Saey, Jan De Pue, Ellen Van De Vijver, Philippe De Smedt, and Marc Van Meirvenne. 2016. “Evaluating Corrections for a Horizontal Offset Between Sensor and Position Data for Surveys on Land.” Precision Agriculture 17 (3): 349–364.
APA
Delefortrie, S., Saey, T., De Pue, J., Van De Vijver, E., De Smedt, P., & Van Meirvenne, M. (2016). Evaluating corrections for a horizontal offset between sensor and position data for surveys on land. PRECISION AGRICULTURE, 17(3), 349–364.
Vancouver
1.
Delefortrie S, Saey T, De Pue J, Van De Vijver E, De Smedt P, Van Meirvenne M. Evaluating corrections for a horizontal offset between sensor and position data for surveys on land. PRECISION AGRICULTURE. 2016;17(3):349–64.
MLA
Delefortrie, Samuël, Timothy Saey, Jan De Pue, et al. “Evaluating Corrections for a Horizontal Offset Between Sensor and Position Data for Surveys on Land.” PRECISION AGRICULTURE 17.3 (2016): 349–364. Print.
@article{7202845,
  abstract     = {When regarding evolutions in land-based, motorized sensor data collection it can be generalized that the speed of surveying, sampling rates, digital communications speed and survey resolutions have increased over the last years. Possibilities for accurate positioning have been following pace. However, a spatial offset between sensor and position data can be necessary to avoid interference with the instrument or can be the result of using a sensor array. It can also be due to practical considerations such as mounting possibilities. Unfortunately a severe degradation of positional accuracy is possible when performing corrections for a spatial offset and quantification of the induced error is quite difficult. As a consequence, the actual positional accuracy of sensor measurements is therefore often omitted or unknown, and a correction may be neglected during data processing. In this paper, accounting for a horizontal (spatial) offset is researched by examining the use of several correction methods. To evaluate the degree of loss of positional accuracy and validate several correction procedures, global navigation satellite system (GNSS) data (with real-time kinematic correction) have been simultaneously collected, using a GNSS receiver that was mounted on an all-terrain vehicle and two other receivers that were mounted near the front and end of an elongated sensor sled. The sled was connected to the towing vehicle using a flexible connection. Since the positioning systems' horizontal accuracies were about 20 mm, it was possible to quantify the horizontal error of the predicted positions for the different correction procedures considered. The best approach for high-resolution surveys, which make use of a connection to a cart or sled that can rotate around a pivot on the towing vehicle, was researched. The strengths and weaknesses of the applied corrections were also evaluated, allowing selection of an appropriate correction for a given survey implementation.},
  author       = {Delefortrie, Samu{\"e}l and Saey, Timothy and De Pue, Jan and Van De Vijver, Ellen and De Smedt, Philippe and Van Meirvenne, Marc},
  issn         = {1385-2256},
  journal      = {PRECISION AGRICULTURE},
  keyword      = {Positional accuracy,Spatial offset correction,UXO detection,Near-surface geophysics,GPS,GNSS,SOIL ELECTRICAL-CONDUCTIVITY,ELECTROMAGNETIC INDUCTION,PRECISION AGRICULTURE,EMI SURVEY,VARIABILITY},
  language     = {eng},
  number       = {3},
  pages        = {349--364},
  title        = {Evaluating corrections for a horizontal offset between sensor and position data for surveys on land},
  url          = {http://dx.doi.org/10.1007/s11119-015-9423-8},
  volume       = {17},
  year         = {2016},
}

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