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Utilization of large scale surface models for detailed visibility analyses

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43310%2F17%3A43915015" target="_blank" >RIV/62156489:43310/17:43915015 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.5194/isprs-archives-XLII-2-W8-53-2017" target="_blank" >https://doi.org/10.5194/isprs-archives-XLII-2-W8-53-2017</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5194/isprs-archives-XLII-2-W8-53-2017" target="_blank" >10.5194/isprs-archives-XLII-2-W8-53-2017</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Utilization of large scale surface models for detailed visibility analyses

  • Original language description

    This article demonstrates utilization of large scale surface models with small spatial resolution and high accuracy, acquired from Unmanned Aerial Vehicle scanning, for visibility analyses. The importance of large scale data for visibility analyses on the local scale, where the detail of the surface model is the most defining factor, is described. The focus is not only the classic Boolean visibility, that is usually determined within GIS, but also on so called extended viewsheds that aims to provide more information about visibility. The case study with examples of visibility analyses was performed on river Opava, near the Ostrava city (Czech Republic). The multiple Boolean viewshed analysis and global horizon viewshed were calculated to determine most prominent features and visibility barriers of the surface. Besides that, the extended viewshed showing angle difference above the local horizon, which describes angular height of the target area above the barrier, is shown. The case study proved that large scale models are appropriate data source for visibility analyses on local level. The discussion summarizes possible future applications and further development directions of visibility analyses.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20705 - Remote sensing

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • 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)

  • ISBN

  • ISSN

    1682-1750

  • e-ISSN

    2194-9034

  • Number of pages

    6

  • Pages from-to

    53-58

  • Publisher name

    Copernicus GmbH

  • Place of publication

    Göttingen

  • Event location

    Hamburk

  • Event date

    Nov 28, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article