Tishk International University, Surveying and Geomatics Engineering Department release the Thesis and Projects for 4th Grade students for the academic year 2022-2023.

Group 1

Title of the Project Performance analysis of precise point positioning using multi-constellation GNSS: GPS, GLONASS, Galileo, and BeiDou.
Names Of Students
  • Darko Dara Bakir
  • Vadiana Ako
Name of Supervisor Mr. Shamal Fatah Ahmed
The abstract of the Project Precise Point Positioning (PPP) is a GNSS positioning technique that can provide positions with sub–meter accuracy. Unlike traditional GNSS positioning techniques, PPP does not require any ground–based infrastructure, making it well-suited for applications where ground-based infrastructure is unavailable or undesirable. In recent years, the number of GNSS constellations has increased, with GPS, GLONASS, Galileo, and BeiDou now operational. This increase in the number of constellations has the potential to improve the performance of PPP. In this paper, we analyze the performance of PPP using GPS, GLONASS, Galileo, and BeiDou. We compare the position accuracy and robustness of PPP solutions using different combinations of constellations. Our results show that PPP using all four constellations can provide robust and accurate solutions, even in challenging environments.

Group 2

Title of the Project  Small-Object Documentation Using Digital Close-Range Photogrammetry.
Names of Students
  • Ivan Nizar
  • Bwer Mukhlis
  • Diyar Musa
Name of Supervisor Mr. Bakhtyar Ahmed
The Abstract of the Project This study presents a digital close–range photogrammetry workflow for the documentation of small objects. The workflow consists of four steps: image capture, image processing, 3D modeling, and quality assessment. The study demonstrates the feasibility of the proposed workflow through the documentation of three small objects. The results show that the proposed workflow is effective for the documentation of small objects.

Group 3

Title of the Project Estimation of reservoir capacity from topographic maps.
Names of Students
  • Noor Kamaran
  • Ali Mushir
  • Hasan Mahdi
Name of Supervisor Professor Dr. Tariq Hama Karim
The abstract of the Project This paper discusses the estimation of reservoir capacity from topographic maps. The method proposed is based on the area–capacity relationship for reservoirs. The paper presents the results of applying the proposed method to four reservoirs in the United States. The results show that the proposed method is reliable and can be used to estimate the capacity of reservoirs.