The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas

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• 作者：S. C. Oliveira ; J. L. Zêzere ; J. Catal?o ; G. Nico
• 关键词：PSInSAR ; TerraSAR ; X ; Landslide hazard ; Weak rocks ; Grande da Pipa river basin
• 刊名：Landslides
• 出版年：2015
• 出版时间：August 2015
• 年：2015
• 卷：12
• 期：4
• 页码：703-719
• 全文大小：7,698 KB
• 参考文献：Allievi J, Ambrosi C, Ceriani M, Colesanti C, Crosta GB, Ferretti A, Fossati D (2003) Monitoring slow mass movements with the Permanent Scatterers technique. Geosci. Remote Sens. Symposium, IGARSS -3 Proceedings. 2003 I.E. International 1:215-17.
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• 作者单位：S. C. Oliveira (1) (4)
  J. L. Zêzere (1)
  J. Catal?o (2)
  G. Nico (3)
  
  1. Centre for Geographical Studies, IGOT (Institute of Geography and Spatial Planning), Universidade de Lisboa, Lisbon, Portugal
  4. Centro de Estudos Geográficos, Edifício da Faculdade de Letras, Cidade Universitária, 1600-214, Lisboa, Portugal
  2. IDL, Universidade de Lisboa (IDL-UL), Lisbon, Portugal
  3. Istituto per le Applicazioni del Calcolo (IAC), Consiglio Nazionale delle Ricerche (CNR), Bari, Italy
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Applied Geosciences
  Geography
  Agriculture
  Civil Engineering
  
• 出版者：Springer Berlin Heidelberg
• ISSN：1612-5118

文摘

In the Grande da Pipa river basin, north of Lisbon, 64?% of the total number of landslides inventoried is totally or partially included in a lithological unit composed by marl, clay, and sandstone intercalation complex that is present in 58?% of the study area. The Persistent Scatterer synthetic aperture radar interferometry technique is applied to a data set of TerraSAR-X SAR images, from April of 2010 to March of 2011, firstly to the Laje-Salema test site and further exported to the Grande da Pipa river basin. This work’s specific objectives are the following: (i) to assess the potential of the Persistent Scatterer displacement maps to the identification of new landslides/unstable areas and in the redefinition of landslide limits, (ii) to update the landslide state of activity, and (iii) to evaluate the capacity of the Persistent Scatterer deformation maps in assessing landslide susceptibility at the regional scale. Based on this approach, it was possible to increment the number of landslides and to redefine the landslide limits in the test site in 3.8?%. For 39 landslides, it was possible to update the landslide state of activity, in particular from dormant to reactivated or dormant-reactivated (23 landslides) or from stabilized to reactivated (5 landslides). Landslide susceptibility map based in Persistent Scatterer deformation rates, independently validated with a deep rotational slide map, obtained the best value of area under the curve (0.668).