Improving the Accuracy of RTK-GNSS Data in Digital Elevation Model

Abstract

Digital Elevation Model (DEM) is repeatedly used to indicate any digital representation of a topographic surface. DEM is used widely in General mapping applications, Transportation applications, Military applications, GIS, natural resources exploration, etc. Real Time Kinematic (RTK) is fast and low-cost techniques in surveying works, especially in DEM, but sometimes the resulting accuracy is less than the required accuracy. In this investigation, the accuracy of RTK elevations data was improved by using Simple Linear Regression (SLR) model. Total Station and RTK have been used to determine the elevations of a small part of the land and included as inputs to create the SLR model for improving the rest of RTK elevation data for the rest of the land. The study shows a series of significant improvements of the RTK data when using SLR model. To assess the results, the improved heights of the rest of the land have been compared with the heights obtained from the Total Station data. For creating the SLR model, It's not necessary to huge data but sufficient about 10% of the data. The significance of this study is to enable the use of RTK data in DEM works accurately and make it suits for the accuracy of most engineering works.