Integrating Geospatial Technologies in Land Surveying and Geoinformatics: A Descriptive Empirical Analysis
Keywords:
Geoinformatics, Land Surveying, Ground Subsidence, German Specialized Terminology, Empirical Descriptive Analysis, Sustainable Development.Abstract
This study creates a connection between technical geoinformatics, sustainable land management, and German specialized terminology. As modern cadastral surveying moves from traditional terrestrial methods to new geospatial approaches, understanding how these tools work and their meanings is essential for global knowledge sharing. This paper uses a descriptive empirical analysis to explore the incorporation of Global Navigation Satellite Systems (GNSS), Geographic Information Systems (GIS), and remote sensing in today’s surveying practices. Based mainly on foundational Nigerian regional models, the study looks at structural soil displacement, ground subsidence, and deformation dynamics in Lokpaukwu Town, Umunneochi, Abia State, while also considering environmental sustainability measures. At the same time, the paper conducts a linguistic analysis of German terms in geoinformatics, examining their compound structures and translation methods. The findings reveal that using multi-spectral spatial technologies improves mapping accuracy by up to 40% compared to traditional systems. This provides crucial engineering data for sustainable infrastructure development while offering a standardized guide for specialized translation.
References
1. Abbas, I. I., & Arigbede, Y. A. (2012). Green area mapping of Ahmadu Bello University Main Campus, Zaria, Nigeria. Journal of Geographic Information System, 4(6), 521–526. https://doi.org/10.4236/jgis.2012.46057
2. Alade, A., Olayemi, A., & Odetunmibi, J. (2020). 3D reconstruction of University of Ilorin Campus using high-resolution satellite imagery. International Federation of Surveyors (FIG) Working Week Proceedings, 1–15.
3. Ekebuike, A. N. (2025). Integrating geospatial technologies in land surveying can support sustainable development. World Journal of Multidisciplinary Studies, 2(6), 30-33.
4. Ekebuike, D. S. A. N. (2025). ASSESSMENT OF GROUND SUBSIDENCE AND DEFORMATION IN LOKPAUKWU TOWN, UMUNNOCHI LOCAL GOVERNMENT AREA OF ABIA STATE, NIGERIA. World Journal of Multidisciplinary Studies, 2(4), 9-15.
5. Ekebuike, A. N., Oliha, A. O., & Ojo, P. E. (2024). Mapping and analysis of seasonal flooding in Benue State Nigeria using remote sensing and GIS approach. International Journal of Multidisciplinary Research and Development, 11(7), 88–94.
6. Mmom, P. C., & Aifesehi, P. E. (2013). Remote sensing and GIS application in flood risk mapping in part of the Niger Delta region of Nigeria. Journal of Environmental Research and Management, 4(8), 312–321.
7. Neene, V., & Kabemba, M. (2017). Development of a mobile GIS property mapping application using mobile cloud computing. International Journal of Advanced Computer Science and Applications, 8(10), 54–62. https://doi.org/10.14569/ijacsa.2017.081008
8. Nwilo, P. C., Olayinka, D. N., & Adzandeh, A. E. (2012). Flood modelling and vulnerability assessment of Gamboru Ngala, Borno State, Nigeria. Journal of Sustainable Development in Africa, 14(4), 143–156.
9. Okpala-Okaka, C. (2008). The imperative of revising Nigerian topographic maps for sustainable national development. Nigerian Journal of Surveying and Geoinformatics, 2(1), 45–58.
10. Ologunorisa, T. E., & Abawua, M. J. (2005). Flood risk assessment: A review. Journal of Applied Sciences and Environmental Management, 9(1), 57–63.
11. Yang, L., Zhang, X., & Feng, Q. (2019). Service-oriented GIS based web application for land valuation and spatial price analysis. Computers, Environment and Urban Systems, 76, 112–124. https://doi.org/10.1016/j.compenvurbsys.2019.04.005
