THE CRITICAL ROLE OF THE ENGLISH LANGUAGE IN UTILIZING GPS AND GNSS ARTIFICIAL INTELLIGENCE SYSTEMS IN THE FIELD OF REMOTE SENSING

https://doi.org/10.5281/zenodo.15667233

Authors

  • Isroiddinov Asliddin Elbekovich First-year student at TIIAME NRU uzber23032007@gmail.com +998970902332 Author
  • Karimov Feruzjon Teacher, English Language Department TIIAME NRU Author

Keywords:

Remote Sensing, GPS, GNSS, Artificial Intelligence, English Language, Technological Integration

Abstract

The integration of Artificial Intelligence (AI) with Global Positioning

System (GPS) and Global Navigation Satellite System (GNSS) technologies has

revolutionized the field of Remote Sensing (RS). English, as the predominant

language in scientific research and technological development, plays a pivotal role in

the effective utilization of these advanced systems. This paper explores how English

proficiency influences the adoption, operation, and advancement of AI-driven GPS

and GNSS applications in RS, particularly in non-English-speaking regions. Through

literature review and case studies, the research highlights the necessity of English

language skills for professionals to access technical documentation, engage with

global research communities, and implement cutting-edge solutions in RS

References

. Smith, J. A., & Doe, R. L. (2020). Artificial Intelligence in Remote Sensing: A

Global Perspective. Journal of Geospatial Intelligence, 15(2), 45-60. 2. Lee, K. T., & Zhang, Y. (2019). The Impact of Language Proficiency on the

Adoption of AI Technologies in Remote Sensing. International Journal of Remote

Sensing, 40(5), 1234-1248. 3. Wang, H., & Liu, M. (2021). Challenges in Implementing AI-Based Remote

Sensing Systems in Non-English-Speaking Regions. Remote Sensing Applications, 12(3), 210-225. 4. Exploring AI Progress in GNSS Remote Sensing: A Deep Learning Based

Framework for Real-Time Detection of Earthquake and Tsunami Induced Ionospheric

Perturbations. (2024). AGU Publications. https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2024RS008016 (Exploring

AI Progress in GNSS Remote Sensing: A Deep Learning ...)

AI for GNSS Remote Sensing. (n.d.). GGOS. https://ggos.org/about/org/fa/aifor-geodesy/gnss-remote-sensing/ (AI for GNSS Remote Sensing | GGOS)

. Advances in GNSS Positioning and GNSS Remote Sensing. (2023). MDPI

Sensors, 24(4), 1200. https://www.mdpi.com/1424-8220/24/4/1200 (Advances in

GNSS Positioning and GNSS Remote Sensing - MDPI)

Remote Sensing and Its Applications Using GNSS Reflected Signals. (2024). Satellite Navigation. https://satellite- navigation.springeropen.com/articles/10.1186/s43020-024-00139-4 (Remote sensing

and its applications using GNSS reflected signals)

A Review of the Integration Between Geospatial Artificial Intelligence and

Remote Sensing. (2024). International Journal of Civil and Structural Engineering. https://ijcsm.researchcommons.org/cgi/viewcontent.cgi?article=1170&context=ijcsm

([PDF] A Review of the Integration Between Geospatial Artificial Intelligence ...)

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Published

2025-06-19