Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)

GIS-based Remote Sensing Analysis and Disaster Pre-warning Method of Complicated Geologic Structure in Highway Corridor Zone

Authors
Hao Lei, Junling Qiu, Jinxing Lai, Xiuling Wang
Corresponding Author
Hao Lei
Available Online March 2017.
DOI
https://doi.org/10.2991/msam-17.2017.55How to use a DOI?
Keywords
highway; corridor zone; unfavorable geology; remote sensing interpretation; GIS management pre-warning
Abstract
In order to realize the efficient organization of the engineering geological information, the GIS management platform was proposed, which can realize the comprehensive management of RS interpretation results and GPS positioning. Based on a highway, the management pattern of multi-source, multi-date and multi-resolution image data was adopt. Moreover, the fast display and overlapping display of vector data and image data as well as the integrated management of image data were employed. Meanwhile, comprehensive analysis and dynamic management of engineering geological conditions of the corridor zone along the highway were implemented.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2017
ISBN
978-94-6252-324-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/msam-17.2017.55How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hao Lei
AU  - Junling Qiu
AU  - Jinxing Lai
AU  - Xiuling Wang
PY  - 2017/03
DA  - 2017/03
TI  - GIS-based Remote Sensing Analysis and Disaster Pre-warning Method of Complicated Geologic Structure in Highway Corridor Zone
BT  - 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
PB  - Atlantis Press
SP  - 247
EP  - 250
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-17.2017.55
DO  - https://doi.org/10.2991/msam-17.2017.55
ID  - Lei2017/03
ER  -