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


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.


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


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).


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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

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