TITLE

# A statistical approach to determining the uncertainty of peat thickness

AUTHOR(S)
Torppa, J.
PUB. DATE
January 2011
SOURCE
Mires & Peat;2011, Vol. 8, p1
SOURCE TYPE
DOC. TYPE
Article
ABSTRACT
This paper presents statistical studies of peat thickness to define its expected maximum variation (â–µ dm(â–µ r)) as a function of separation distance â–µ r. The aim was to provide an estimate of the observational uncertainty in peat depth due to positioning error, and the prediction uncertainty of the computed model. The data were GPS position and ground penetrating radar depth measurements of six mires in different parts of Finland. The calculated observational uncertainty for Finnish mires in general caused, for example, by a 20 m positioning error, is 43 cm in depth with 95 % confidence. The peat depth statistics differed among the six mires, and it is recommended that the mire specific function â–µ dm(â–µ r) is defined for each individual mire to obtain the best estimate of observational uncertainty. Knowledge of the observational error and function â–µ dm(â–µ r) should be used in peat depth modelling for defining the uncertainty of depth predictions.
ACCESSION #
91956992

## Related Articles

• Studies of storm-enhanced density impact on DGPS using IGS reference station data. S. Skone; A. Coster // Journal of Geodesy;Mar2008, Vol. 83 Issue 3/4, p235

AbstractÂ Â DGPS services are provided in support of land and marine applications by many government agencies worldwide. Horizontal positioning accuracies in the order of several metres are typically achieved for these systems. Under high levels of ionospheric activity, however, significant...

• Error Correction Algorithm Based on Certain Correlation Assumption. Hui Chen; Feng Lian // Information Technology Journal;2014, Vol. 13 Issue 11, p1848

When several targets have been detected by radar in the same wave gate, their measurement errors are correlated significantly. In this study, the discussed approaches registers the sensor bias and correct the radar measurement error of non-cooperation target by utilizing the high precision GPS...

• The Analysis of the UKF-Based Navigation Algorithm during GPS Outage. Bistrovs, V.; Kluga, A. // Electronics & Electrical Engineering;2013, Vol. 19 Issue 10, p13

The unscented Kalman filter (UKF) became very attractive for the navigation sensors data fusion, because of algorithm significant accuracy and implementation advantages. The unscented Kalman filter is based on the unscented transform (UT) to perform the estimation of the system states. The main...

• Fast error analysis of continuous GNSS observations with missing data. Bos, M.; Fernandes, R.; Williams, S.; Bastos, L. // Journal of Geodesy;Apr2013, Vol. 87 Issue 4, p351

One of the most widely used method for the time-series analysis of continuous Global Navigation Satellite System (GNSS) observations is Maximum Likelihood Estimation (MLE) which in most implementations requires $$\mathcal{O }(n^3)$$ operations for $$n$$ observations. Previous research by the...

• K-means Based Processing of GPS Data. Meng Du; Xinyuan Huang; Bin Qiu // Sensors & Transducers (1726-5479);Jan2014, Vol. 163 Issue 1, p148

We propose here a new error correction algorithm for GPS (Global positioning system) receivers called SKMW, which processes GPS coordinates with smoothing, k-means, mean, and weighted average in turn. We also propose values for parameters to be used with the algorithm, and analyze their...

• A Study of State Estimation Algorithms in an OktoKopter. Quadri, S. A.; Sidek, Othman; Abdullah, Azizul bin // International Journal of U- & E-Service, Science & Technology;2014, Vol. 7 Issue 3, p247

The prospective applications of unmanned aerial vehicle (UAV) have marked its significance in various military and non-military applications. On-board sensor accuracy and state estimation algorithms are important issues related with the performance aspects. Our study is focused on OktoKopter,...

• Autonomous Position Estimation of a Mobile Node Based on Landmark and Localization Sensor. Se-Jun Park; Jeong-Sik Park; Yong-Ho Seo; Tae-Kyu Yang // International Journal of Distributed Sensor Networks;2014, p1

This study proposes an efficient position estimation method for localizing a mobile node in indoor environment. Although several conventional methods have been successfully applied for position estimation, they have some drawbacks such as low extendibility in an indoor space, intensive...

• Maps: Paper or Plastic? Thompson, Steve // AutoWeek;11/10/2003, Vol. 53 Issue 45, p14

Somewhere West of Laramie, things began to go wrong. The Garmin StreetPilot El Deluxe that had been navigating from the base on the Chesapeake Bay began to suffer due to lost signals and inaccurate mapping. The frequent loss of Global Positioning System satellite signals surprised the author....

• GPS for real-time earthquake source determination and tsunami warning systems. Geoffrey Blewitt; William Hammond; Corné Kreemer; Hans-Peter Plag; Seth Stein; Emile Okal // Journal of Geodesy;Mar2008, Vol. 83 Issue 3/4, p335

AbstractÂ Â We identify the key design aspects of a GPS-based system (and in the future, GNSS-based systems) that could contribute to real-time earthquake source determination and tsunami warning systems. Our approach is based on models of both transient and permanent displacement of GPS...

Share