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Testing DEM accuracy for different type of source data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F18%3A00323722" target="_blank" >RIV/68407700:21110/18:00323722 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.5593/sgem2018/2.2" target="_blank" >http://dx.doi.org/10.5593/sgem2018/2.2</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5593/sgem2018/2.2" target="_blank" >10.5593/sgem2018/2.2</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Testing DEM accuracy for different type of source data

  • Original language description

    The history of digital terrain modelling started in the 50's. Digital terrain modelling is nowadays one of the basic ways of a terrain representation. The basic task of creating the digital terrain model (DTM) includes data collection, generation, visualization, interpretation and application. There can be various sources of data to generate DTM. The source data set is the basic element for the accuracy of the resulting model. There is also described a few series of tests on the accuracy of DEM source data. The comparison of three methods of data collection: tacheometry, GNSS measurement and levelling are one goal of the study. A special measuring bar has been also developed for simultaneous measurement. This adaptation enables data acquisition in the same time on the same place. The main purpose of this study is to choose the best measurement methods for very precise digital terrain model in a specific area and evaluate usability of that special measuring bar.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20101 - Civil engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    18th International Multidisciplinary Scientific Geoconference SGEM 2018 - Informatics, Geoinformatics and Remote Sensing

  • ISBN

    978-619-7408-40-9

  • ISSN

    1314-2704

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    995-1002

  • Publisher name

    STEF92 Technology Ltd.

  • Place of publication

    Sofia

  • Event location

    Albena

  • Event date

    Jun 30, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article