On the monitoring and early-warning of brittle slope failures in hard rock masses: Examples from an open-pit mine-Reference-Cited by-同舟云学术

On the monitoring and early-warning of brittle slope failures in hard rock masses: Examples from an open-pit mine

Published:2017-10 Issue: Volume:228 Page:71-81
ISSN:0013-7952
Container-title:Engineering Geology
language:en
Short-container-title:Engineering Geology

Author:

Carlà Tommaso^ORCID,Farina Paolo,Intrieri Emanuele,Botsialas Kostas,Casagli Nicola

Publisher

Elsevier BV

Subject

Geology,Geotechnical Engineering and Engineering Geology

Reference38 articles.

1. Ground-based SAR interferometry for monitoring mass movements;Antonello;Landslides,2004

2. Mine operation and management of progressive slope deformation on the south wall of the Barrick Goldstrike Betze-Post Open Pit;Armstrong,2009

3. Early warning monitoring of natural and engineered slopes with ground-based synthetic-aperture radar;Atzeni;Rock Mech. Rock. Eng.,2015

4. Monitoring the rapid-moving reactivation of earth flows by means of GB-InSAR: the April 2013 Capriglio landslide (Northern Appenines, Italy);Bardi;Remote Sens.,2017

5. Guidelines on the use of inverse velocity method as a tool for setting alarm thresholds and forecasting landslides and structure collapses;Carlà;Landslides,2016

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