Next Article in Journal
Downscaling Land Surface Temperature in an Urban Area: A Case Study for Hamburg, Germany
Previous Article in Journal
Exploiting the Classification Performance of Support Vector Machines with Multi-Temporal Moderate-Resolution Imaging Spectroradiometer (MODIS) Data in Areas of Agreement and Disagreement of Existing Land Cover Products
Open AccessArticle

A New Window-Based Program for Quality Control of GPS Sensing Data

1
Department of Civil, Architectural & Environmental Engineering, Sungkyunkwan University, Suwon 440-746, Korea
2
Department of Spatial Information Engineering, Pukyong National University, Busan 608-737, Korea
*
Authors to whom correspondence should be addressed.
Remote Sens. 2012, 4(10), 3168-3183; https://doi.org/10.3390/rs4103168
Received: 23 August 2012 / Revised: 16 October 2012 / Accepted: 16 October 2012 / Published: 18 October 2012
The main purpose of this study is to develop a new Windows-based program that calculates a quality control parameter that shows the quality of GPS observations using Global Positing Sensing (GPS) data in a Receiver INdependent Exchange (RINEX) format. This new program, Global Positing Sensing Quality Control) (GPSQC), allows general GPS users to easily and intuitively check the quality of GPS observations before post-processing, which will lead to the improvement of GPS positioning precision in diverse areas of GPS applications. The GPSQC is designed to control the multi-path, cycle slip, and ionospheric errors of L1 and L2 signals in GPS observations. The GPSQC was developed using C#.NET language for the Window series with Microsoft Graphical User Interfaces (MS GUIs). This program gives brief information for GPS observations, time series plots, graphs of quality control parameters, and a summary report in MS word, Excel and PDF formats. It can simply perform quality checking of GPS observations that is difficult for surveyors conducting field work. We expect that GPSQC can be used to improve the accuracy of positioning and to solve time-consuming problems due to data loss and large errors in GPS observations. View Full-Text
Keywords: GPS observations; GPSQC program; quality control (QC); QC parameters GPS observations; GPSQC program; quality control (QC); QC parameters
MDPI and ACS Style

Lee, D.; Cho, J.; Suh, Y.; Hwang, J.; Yun, H. A New Window-Based Program for Quality Control of GPS Sensing Data. Remote Sens. 2012, 4, 3168-3183. https://doi.org/10.3390/rs4103168

AMA Style

Lee D, Cho J, Suh Y, Hwang J, Yun H. A New Window-Based Program for Quality Control of GPS Sensing Data. Remote Sensing. 2012; 4(10):3168-3183. https://doi.org/10.3390/rs4103168

Chicago/Turabian Style

Lee, Dongha; Cho, Jaemyoung; Suh, Yongcheol; Hwang, Jinsang; Yun, Hongsik. 2012. "A New Window-Based Program for Quality Control of GPS Sensing Data" Remote Sens. 4, no. 10: 3168-3183. https://doi.org/10.3390/rs4103168

Find Other Styles

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Search more from Scilit
 
Search
Back to TopTop