Abstract
Landslides are the common geological hazards in the mountainous areas, which pose a serious threat to the safety of the life and property of the local people, destroy the engineering facilities, affect the normal production, construction and basic work and life of the residents, and bring huge losses to the local economy. Therefore, it is of great significance to strengthen the monitoring of the landslide deformation. At present, there are many monitoring methods for the landslide deformation. The application of the GIS technology will improve the monitoring system, which is conducive to the monitoring of the landslide deformation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Xu, Bo. 2013. Research and implementation of the slope monitoring data processing system based on GIS. Shenyang Aerospace University: 111–112.
Yuan, Fang, Zang Shuying, and Li Miao. 2013. Design and implementation of the Songnen Plain scientific research achievement management system based on SuperMap. Chinese Agricultural Science Bulletin 17: 141–142.
Qionghuang, Hou, and Yang Hang. 2014. Analysis and prediction of the haze weather based on the cubic exponential smoothing model. Environmental Protection Science 6: 69–70.
Hao, Wu, Huang Chuang, Zhang Jianhua, Ye Haiwang, Li Hua, and Bao Guangming. 2015. GNSS/GIS integrated monitoring system for the high slope deformation of opencast mine and its application. Journal of Wuhan University (Information Science Edition) 5: 135–136.
Liu, Jiafu, Li Deliang, and Shan Libo. 2015. Research on the thematic map management information system based on the SuperMap objects.NET 2008. Jilin Normal University Journal (Natural Science Edition) (01): 37–38.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Tian, J. (2020). Mountain Monitoring System Based on the Digital Photogrammetry and the Component GIS. In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_164
Download citation
DOI: https://doi.org/10.1007/978-981-15-1468-5_164
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-1467-8
Online ISBN: 978-981-15-1468-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)