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Satellite SAR interferometry for the improved assessment of the state of activity of landslides: A case study from the Cordilleras of Peru

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985891%3A_____%2F18%3A00496362" target="_blank" >RIV/67985891:_____/18:00496362 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.rse.2018.08.014" target="_blank" >http://dx.doi.org/10.1016/j.rse.2018.08.014</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.rse.2018.08.014" target="_blank" >10.1016/j.rse.2018.08.014</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Satellite SAR interferometry for the improved assessment of the state of activity of landslides: A case study from the Cordilleras of Peru

  • Original language description

    In Peru landslides have been causing damages and casualties annually due to the high mountain relief and distinct seasonal precipitation distribution. Satellite Synthetic Aperture Radar (SAR) interferometry represents one possibility for mapping surface deformation at fine spatial resolution over large areas in order to characterize aspects of terrain motion and potentially hazardous processes. We present land surface motion maps derived from satellite SAR interferometry (InSAR) for a part of the Santa River Basin between the Cordilleras Blanca and Negra around the city of Carhuaz in Peru. Using both Persistent Scatterer Interferometry (PSI) and differential SAR Interferograms (DInSAR) from ALOS-1 PALSAR-1, ENVISAT ASAR, ALOS-2 PALSAR-2 and Sentinel-1 we mapped 42 landslides extending over 17,190,141 m(2) within three classes of activity (i.e. 0-2 cm/a, 2-10 cm/a and > 10 cm/a). A geomorphological inventory of landslides was prepared from optical satellite imagery and field experience and compared to the InSAR-based slope-instability inventory. The two approaches provide slightly different information about landslide spatial and temporal activity patterns, but altogether they can be combined for the assessment of the state of activity of landslides and possibly the development of hazard maps, which are not systematically available in this region. We conclude that ALOS PALSAR (1 and 2) and Sentinel-1 data have a high potential to derive high-quality surface deformation information of landslides in many mountainous regions worldwide due to their global and frequent acquisition strategies.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10508 - Physical geography

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Remote Sensing of Environment

  • ISSN

    0034-4257

  • e-ISSN

  • Volume of the periodical

    217

  • Issue of the periodical within the volume

    NOV

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    15

  • Pages from-to

    111-125

  • UT code for WoS article

    000447570900010

  • EID of the result in the Scopus database

    2-s2.0-85051411956