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020 ▼a 9780438325395
035 ▼a (MiAaPQ)AAI10822163
035 ▼a (MiAaPQ)berkeley:17995
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 620
1001 ▼a Cohen-Waeber, Julien Francois.
24510 ▼a Spatiotemporal Patterns of Seasonality in Landslide Deformation from InSAR and GPS.
260 ▼a [S.l.] : ▼b University of California, Berkeley., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 138 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 ▼a Includes supplementary digital materials.
500 ▼a Advisers: Nicholas Sitar
5021 ▼a Thesis (Ph.D.)--University of California, Berkeley, 2018.
520 ▼a High-resolution characterization of landslide deformation and its spatiotemporal response to external triggering mechanisms is a first step toward improved hazard forecasting. Slope instability in the San Francisco East Bay Hills (EBH), includin
520 ▼a After careful evaluation of nearly 50 inventoried landslide deposits, a network of 6 autonomous cGPS landslide monitoring stations was instrumented across four select sites. Established in 2012, the network is set to continue monitoring ground d
520 ▼a Relying on TerraSAR-X satellite images (2009--2014) and an improved data processing algorithm (SqueeSARTM), InSAR time series analysis produces a record of ground deformation over the same study area, with exceptionally dense spatial coverage. T
590 ▼a School code: 0028.
650 4 ▼a Engineering.
650 4 ▼a Geological engineering.
650 4 ▼a Remote sensing.
690 ▼a 0537
690 ▼a 0466
690 ▼a 0799
71020 ▼a University of California, Berkeley. ▼b Civil and Environmental Engineering.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0028
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998450 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자