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Potential of Sentinel-1A for nation-wide routine updates of active landslide maps

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F16%3A86098812" target="_blank" >RIV/61989100:27740/16:86098812 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B7/775/2016/isprs-archives-XLI-B7-775-2016.pdf" target="_blank" >http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B7/775/2016/isprs-archives-XLI-B7-775-2016.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5194/isprsarchives-XLI-B7-775-2016" target="_blank" >10.5194/isprsarchives-XLI-B7-775-2016</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Potential of Sentinel-1A for nation-wide routine updates of active landslide maps

  • Original language description

    Slope deformation is one of the typical geohazards that causes an extensive economic damage in mountainous regions. As such, they are usually intensively monitored by means of modern expertise commonly by national geological or emergency services. Resulting landslide susceptibility maps, or landslide inventories, offer an overview of areas affected by previously activated landslides as well as slopes known to be unstable currently. Current slope instabilities easily transform into a landslide after various triggering factors, such as an intensive rainfall or a melting snow cover. In these inventories, the majority of the existing landslide-affected slopes are marked as either stable or active, after a continuous investigative work of the experts in geology. In this paper we demonstrate the applicability of Sentinel-1A satellite SAR interferometry (InSAR) to assist by identifying slope movement activity and use the information to update national landslide inventories. This can be done reliably in cases of semi-arid regions or low vegetated slopes. We perform several analyses based on multitemporal InSAR techniques of Sentinel-1A data over selected areas prone to landslides.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. Volume 41

  • ISBN

  • ISSN

    1682-1750

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    775-781

  • Publisher name

    Vienna University of Technology

  • Place of publication

    Vienna

  • Event location

    Praha

  • Event date

    Jul 12, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article