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Spatiotemporal Patterns of Seasonality in Landslide Deformation from InSAR and GPS.- [electronic resource] : Cohen-Waeber, Julien Francois.
Spatiotemporal Patterns of Seasonality in Landslide Deformation from InSAR and GPS.- [electronic resource] : Cohen-Waeber, Julien Francois.
상세정보
- 자료유형
- 학위논문(국외)
- 청구기호
- 저자명
- 서명/저자
- Spatiotemporal Patterns of Seasonality in Landslide Deformation from InSAR and GPS. - [electronic resource] : Cohen-Waeber, Julien Francois.
- 발행사항
- 발행사항
- 형태사항
- 1 online resource(138 p.)
- 주기사항
- Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
- 주기사항
- Includes supplementary digital materials.
- 주기사항
- Advisers: Nicholas Sitar
- 학위논문주기
- Thesis (Ph.D.)--University of California, Berkeley, 2018.
- 초록/해제
- 요약High-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
- 초록/해제
- 요약After 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
- 초록/해제
- 요약Relying 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
- 일반주제명
- 일반주제명
- 일반주제명
- 기타저자
- 기본자료저록
- Dissertation Abstracts International. 80-01B(E).
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 원문정보보기
- 소장사항
-
201812 2019
MARC
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■00520190102172002
■007cr
■020 ▼a9780438325395
■035 ▼a(MiAaPQ)AAI10822163
■035 ▼a(MiAaPQ)berkeley:17995
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a620
■090 ▼a전자도서(박사논문)
■1001 ▼aCohen-Waeber, Julien Francois.
■24510▼aSpatiotemporal Patterns of Seasonality in Landslide Deformation from InSAR and GPS.▼h[electronic resource]▼cCohen-Waeber, Julien Francois.
■260 ▼a[S.l.]▼bUniversity of California, Berkeley. ▼c2018
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2018
■300 ▼a1 online resource(138 p.)
■500 ▼aSource: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
■500 ▼aIncludes supplementary digital materials.
■500 ▼aAdvisers: Nicholas Sitar
■5021 ▼aThesis (Ph.D.)--University of California, Berkeley, 2018.
■520 ▼aHigh-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 ▼aAfter 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 ▼aRelying 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 ▼aSchool code: 0028.
■650 4▼aEngineering.
■650 4▼aGeological engineering.
■650 4▼aRemote sensing.
■690 ▼a0537
■690 ▼a0466
■690 ▼a0799
■71020▼aUniversity of California, Berkeley▼bCivil and Environmental Engineering.
■7730 ▼tDissertation Abstracts International▼g80-01B(E).
■773 ▼tDissertation Abstract International
■790 ▼a0028
■791 ▼aPh.D.
■792 ▼a2018
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T14998450▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a201812▼f2019
