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
Keywords:
Remote Sensing, GPS, GNSS, Artificial Intelligence, English Language, Technological IntegrationAbstract
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 ...)
