THE ROLE OF THE ENGLISH LANGUAGE IN AUTOMATING CADASTRAL PROCESSES THROUGH ARTIFICIAL INTELLIGENCE IN REMOTE SENSING
https://doi.org/10.5281/zenodo.15665947
Keywords:
Cadastral Automation, Artificial Intelligence, Remote Sensing, English Language Proficiency, Land Management, Digital TransformationAbstract
Expanding on this, the increasing sophistication of AI and RS tools applied
to cadastral challenges necessitates a nuanced understanding of English, not just for
basic operation but for advanced customization, troubleshooting, and adaptation to
local contexts. This paper argues that the lack of adequate English proficiency in non-
English-speaking regions represents a significant impediment to fully realizing the
transformative potential of these technologies in land administration. By analyzing
the experiences of countries that have embarked on digital cadastral transformations,
we highlight both the challenges encountered due to language barriers and the
strategies adopted to mitigate these effects. Furthermore, this study emphasizes the
interconnectedness of global research and development in AI and RS, asserting that
English serves as the crucial linguistic bridge for cadastral professionals to stay
abreast of cutting-edge innovations and contribute to international best practices.
Ultimately, this paper advocates for targeted interventions, including language
training and the development of multilingual resources, to ensure equitable access to
and effective utilization of AI and RS technologies in cadastral systems worldwide,
fostering greater efficiency, transparency, and sustainability in land governance.
References
Ashna, C. (2025). Artificial Intelligence Driven Digitization of Cadastral Maps. International Journal of Engineering Innovations and Management Strategies, 1(9), 1-12. 2. Mango, J., Wang, M., Mu, S., Zhang, D., Ngondo, J., Valerian-Peter, R., & Li, X. (2023). Transform paper-based cadastral data into digital systems using GIS
and end-to-end deep learning techniques. International Journal of
Geographical Information Science, 37(5), 1099-1127. 3. Toshboyeva, R. S. (2024). Digital Technologies in the National Cadastre
System of Uzbekistan: Issues of Legal Regulation. Journal of Digital
Technologies and Law, 2(3), 544–564. 4. Valijonov, D. T. O., & Rasulov, A. Y. O. (2024). Digitization of Cadastral
Data and Their Interactive Use. Web of Technology: Multidimensional
Research Journal, 2(11), 169–176. 5. Fetai, B. (2023). Advancing Cadastral Mapping with UAVs and Automated
Boundary Delineation. Informatica, 48(2), 1-12. 6. Goziyeva, N. (2024). THE IMPORTANCE OF LEARNING ENGLISH IN A
GLOBALIZED WORLD. Eurasian Research and Educational Digital
Technology, (1), 7-11
Özkanlı, Ö., & Erişmiş, B. (2022). Language Barriers And Role Of
Information Technology. Webology, 19(3), 1-14
