Towards an Accurate Real-Time Digital Elevation Model Using Various GNSS Techniques

The objective of our research is to produce a digital elevation model (DEM) in a real-time domain. For this purpose, GNSS measurements are obtained from a kinematic trajectory in a clear location in New Aswan City, Egypt. Different real-time processing solutions are employed, including real-time precise point positioning (RT-PPP) and real-time kinematics (RTK); additionally, the widely used post-processed precise point positioning (PPP) processing scenario is used. Thereafter, the acquired positioning estimates are compared with the traditional kinematic differential GNSS solution counterparts. To achieve the RT-PPP mode, the instantaneous products from the Centre National d'Etudes Spatiales (CNES) are utilized. Our proposed models are validated for both kinematic positioning and DEM accuracies. For kinematic positioning accuracy validation, the findings indicate that the three-dimensional position is about 0.480 m, 0.101 m, and 0.628 for RT-PPP, RTK, and PPP solutions, respectively. Furthermore, the DEM accuracy investigation shows that the produced DEMs have accuracies within 0.249 m, 0.005 m, and 0.264 m for RT-PPP, RTK, and PPP solutions, respectively.

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Publication Details

Journal
Sensors
Published
2024-12-20
DOI
https://doi.org/10.3390/s24248147
Citations
6
Primary Topic
GNSS positioning and interference
Type
article
Field-Weighted Citation Impact
7.79

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article

Towards an Accurate Real-Time Digital Elevation Model Using Various GNSS Techniques

Mohamed Abdelazeem, Mudathir O. A. Mohamed, Hussain A. Kamal, Amgad Abazeed
6 citations
Sensors
GNSS positioning and interference
7.79
article

Towards an Accurate Real-Time Digital Elevation Model Using Various GNSS Techniques

Mohamed Abdelazeem, Mudathir O. A. Mohamed, Hussain A. Kamal, Amgad Abazeed
article en
6 citations

Abstract

The objective of our research is to produce a digital elevation model (DEM) in a real-time domain. For this purpose, GNSS measurements are obtained from a kinematic trajectory in a clear location in New Aswan City, Egypt. Different real-time processing solutions are employed, including real-time precise point positioning (RT-PPP) and real-time kinematics (RTK); additionally, the widely used post-processed precise point positioning (PPP) processing scenario is used. Thereafter, the acquired positioning estimates are compared with the traditional kinematic differential GNSS solution counterparts. To achieve the RT-PPP mode, the instantaneous products from the Centre National d'Etudes Spatiales (CNES) are utilized. Our proposed models are validated for both kinematic positioning and DEM accuracies. For kinematic positioning accuracy validation, the findings indicate that the three-dimensional position is about 0.480 m, 0.101 m, and 0.628 for RT-PPP, RTK, and PPP solutions, respectively. Furthermore, the DEM accuracy investigation shows that the produced DEMs have accuracies within 0.249 m, 0.005 m, and 0.264 m for RT-PPP, RTK, and PPP solutions, respectively.

SensorsVol. 24(24)
Prince Sattam Bin Abdulaziz University (SA), Omdurman Islamic University (SD), Arab Academy for Science, Technology, and Maritime Transport (EG), Aswan University (EG)
Prince Sattam bin Abdulaziz University
Sustainable cities and communities
Openalex Percentile: Top 3%
GNSS positioning and interference
7.79
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