Advertisement

Application of GPS technology in space geological survey

  • Guobin ChenEmail author
GMGDA 2019
Part of the following topical collections:
  1. Geological Modeling and Geospatial Data Analysis

Abstract

In order to solve the shortcomings of traditional space geological survey technology, such as weak universality, heavy workload of human-computer interaction, and low accuracy, global positioning system (GPS) and real-time kinematics (RTK) are combined in this study to explore the application of GPS technology in space geological survey by using its global, all-weather, continuity, practicability, navigation, positioning, and timing characteristics. The results show that GPS technology not only has good performance and high precision but also improves the level of surveying and mapping technology compared with traditional geological surveying technology, unifies surveying and mapping benchmarks, avoids repeated construction of surveying marks, and provides multiple information services. The research of this study has great practical significance for traditional space geological survey to change the way of surveying and mapping geological map, to use advanced GPS aided design technology, to improve the level of modernization of design and the efficiency of designers, to realize the reduction of staff and increase efficiency, and to improve the productivity of the whole staff. At the same time, it also has important theoretical and practical value for geological survey. Moreover, the breakthrough of its key technologies will have good popularization value and application prospects.

Keywords

Global positioning system Real-time kinematics Geological survey Technology Surveying and mapping benchmark Diversification 

Notes

Funding information

This work was financially supported by the Science and Technology Research Program of Chongqing Municipal Education Commission (No. KJQN201802101, No. KJZD-K201802101), Doctoral high school talent training project (BYJS2016003), Chongqing Graduate Scientific Research Innovation Project (CYB17131), and National Natural Science Foundation of China under grants (71473074).

References

  1. Elaksher AF, Fernald A, Kapoko F (2016) Evaluating the use of GPS heights in water conservation applications. Surv Rev 48(348):195–201CrossRefGoogle Scholar
  2. Gupta TD, Riguzzi F, Dasgupta S et al (2015) Kinematics and strain rates of the Eastern Himalayan Syntaxis from new GPS campaigns in Northeast India. Tectonophysics 655:15–26CrossRefGoogle Scholar
  3. Hamiel Y, Masson F, Piatibratova O et al (2018) GPS measurements of crustal deformation across the southern Arava Valley section of the Dead Sea Fault and implications to regional seismic hazard assessment. Tectonophysics 724-725:171–178CrossRefGoogle Scholar
  4. Hu J, Ding XL, Li ZW et al (2016) Vertical and horizontal displacements of Los Angeles from InSAR and GPS time series analysis: resolving tectonic and anthropogenic motions. J Geodyn 99:27–38CrossRefGoogle Scholar
  5. Karegar MA, Dixon TH, Engelhart SE (2016) Subsidence along the Atlantic Coast of North America: insights from GPS and late Holocene relative sea level data. Geophys Res Lett 43(7):3126–3133CrossRefGoogle Scholar
  6. Komac M, Holley R, Mahapatra P et al (2015) Coupling of GPS/GNSS and radar interferometric data for a 3D surface displacement monitoring of landslides. Landslides 12(2):241–257CrossRefGoogle Scholar
  7. Rao NP, Tiwari VM, Kumar MR et al (2015) The M w 6.9 Sikkim–Nepal earthquake of September 2011: a perspective for wrench faulting in the Himalayan thrust zone. Nat Hazards 77(1):355–366CrossRefGoogle Scholar
  8. Yang Q, Jiang Z, Zulu MA et al (2015) Application of the GPS real navigation based on remote sensing image to geological survey. Remote Sensing for Land & Resources 27(1):178–181Google Scholar
  9. Yin A, Dubey CS, Webb AAG et al (2015) Geologic correlation of the Himalayan orogen and Indian craton: Part 1. Structural geology, U-Pb zircon geochronology, and tectonic evolution of the Shillong Plateau and its neighboring regions in NE India. Geol Soc Am Bull 122(3-4):336–359CrossRefGoogle Scholar
  10. Zeybek M, Şanlıoğlu İ, Özdemir A (2015) Monitoring landslides with geophysical and geodetic observations. Environ Earth Sci 74(7):6247–6263CrossRefGoogle Scholar

Copyright information

© Saudi Society for Geosciences 2019

Authors and Affiliations

  1. 1.Chongqing Key Laboratory of Spatial Data Mining and Big Data Integration for Ecology and Environment, Rongzhi College of Chongqing Technology and Business UniversityChongqingChina

Personalised recommendations