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Remote Sens. 2009, 1(1), 22-35; doi:10.3390/rs1010022
Article
Investigation on Accuracies of Real Time Kinematic GPS for GIS Applications
1
Zonguldak Karaelmas University, Engineering Faculty, Dept. of Geodesy and Photogrammetry Eng., Zonguldak, Turkey
2
General Command of Mapping, Cebeci, Ankara, Turkey
* Author to whom correspondence should be addressed.
Received: 16 January 2009; in revised form: 3 March 2009 / Accepted: 24 March 2009 / Published: 30 March 2009
Abstract: People specialised in or in contact with Geographic Information Systems (GIS) at administrative or user level have been looking for economical and productive means for data acquisition tasks since the advent of GIS. Because the data acquisition constitutes major part of any GIS, scientific community, especially geodetic surveyors, have come up with a solution of real time kinematic (RTK) GPS. This paper investigates the performance (internal and external accuracy) of RTK GPS. For this purpose, two separate tests are conducted. In the first test three cases are taken in consideration for internal accuracy, namely, identical satellite configuration, different satellite configuration and different reference station. In the second test, two cases are put into study in which RTK GPS results are compared with static GPS and conventional terrestrial method. The results from all the tests have proved that this modern technique is very much suitable for data acquisition of GIS’s as well as it is efficient and economical.
Keywords: Real Time Kinematic GPS; Internal and External Accuracy; Static GPS; Data Acquisition; GIS
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MDPI and ACS Style
Mekik, C.; Arslanoglu, M. Investigation on Accuracies of Real Time Kinematic GPS for GIS Applications. Remote Sens. 2009, 1, 22-35.
AMA StyleMekik C, Arslanoglu M. Investigation on Accuracies of Real Time Kinematic GPS for GIS Applications. Remote Sensing. 2009; 1(1):22-35.
Chicago/Turabian StyleMekik, Cetin; Arslanoglu, Murat. 2009. "Investigation on Accuracies of Real Time Kinematic GPS for GIS Applications." Remote Sens. 1, no. 1: 22-35.
Remote Sens.
EISSN 2072-4292
Published by MDPI AG, Basel, Switzerland
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