DocumentCode
2441244
Title
The data processing model of monitoring crustal deformation using GPS
Author
Lan, Xiaoqi ; Li, Sen ; Xie, Kun
Author_Institution
Sch. of Earth Sci. & Eng., Hohai Univ., Nanjing, China
fYear
2011
fDate
24-26 June 2011
Firstpage
853
Lastpage
856
Abstract
To use GAMIT software of GPS to separately calculate the multi-phase observation data of monitoring crustal deformation using GPS in a single-day can obtain high-precision baseline vector and its coordinated factor matrix of multi phases among different crust monitoring sites. Then we will establish a model of computing drift velocity of crust monitoring sites by using multi-phase baseline vector among different sites. To use GAMIT software for processing crustal deformation data monitored by GPS developed by VB language, combining with some GPS observation data from Crustal Movement Observation Network of China to conduct the corresponding adjustment calculation can obtain the vector diagram of sixteen sites´ drift velocity of Crustal Movement Observation Network of China (CMONOC). The comparative analysis of the two models´ results shows the accuracy and reliability of the data processing model proposed in the chart.
Keywords
Earth crust; Visual BASIC; deformation; geophysical signal processing; geophysical techniques; tectonics; CMONOC; Crustal Movement Observation Network of China; GAMIT software; GPS; Visual Basic language; crust monitoring sites; crustal deformation data processing; crustal deformation monitoring; data processing model; drift velocity compuation; high precision baseline vector; multiphase baseline vector; multiphase matrix; multiphase observation data; Coordinate measuring machines; Extraterrestrial measurements; Global Positioning System; Mathematical model; Monitoring; Position measurement; Software; Crust Deformation; GAMIT; GPS; drift velocity;
fLanguage
English
Publisher
ieee
Conference_Titel
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9172-8
Type
conf
DOI
10.1109/RSETE.2011.5964412
Filename
5964412
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