Location

Chicago, Illinois

Date

01 May 2013, 5:15 pm - 6:45 pm

Abstract

Remote sensing techniques for the monitoring of deformation are opening new opportunities in the field of geotechnical engineering and geology. Terrestrial SAR interferometry (TInSAR) is one of the most innovative technique and it promises to be a very effective solution which will be extensively used in the near future. TInSAR is characterized by several interesting features such as: i) high density of information; ii) fully remote capability; iii) long range capability; iv) widespread view; v) spatially continuous efficacy and vi) high accuracy. Thanks to these features TInSAR has been used for investigation and diagnostic purposes (i.e. landslide and structural instability mapping, state of activity evaluation, analysis of triggering factors and modelling of deformational behavior) thus providing very useful results.

Department(s)

Civil, Architectural and Environmental Engineering

Meeting Name

7th Conference of the International Conference on Case Histories in Geotechnical Engineering

Publisher

Missouri University of Science and Technology

Document Version

Final Version

Rights

© 2013 Missouri University of Science and Technology, All rights reserved.

Creative Commons Licensing

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Document Type

Article - Conference proceedings

File Type

text

Language

English

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Apr 29th, 12:00 AM May 4th, 12:00 AM

Investigating the Behaviour of Natural Slopes and Man Made Structures by Terrestrial SAR Interferometry

Chicago, Illinois

Remote sensing techniques for the monitoring of deformation are opening new opportunities in the field of geotechnical engineering and geology. Terrestrial SAR interferometry (TInSAR) is one of the most innovative technique and it promises to be a very effective solution which will be extensively used in the near future. TInSAR is characterized by several interesting features such as: i) high density of information; ii) fully remote capability; iii) long range capability; iv) widespread view; v) spatially continuous efficacy and vi) high accuracy. Thanks to these features TInSAR has been used for investigation and diagnostic purposes (i.e. landslide and structural instability mapping, state of activity evaluation, analysis of triggering factors and modelling of deformational behavior) thus providing very useful results.