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A novel approach to estimate systematic and random error of terrain derived from UAVs: a case study from a post-mining site

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F18%3A00326318" target="_blank" >RIV/68407700:21110/18:00326318 - isvavai.cz</a>

  • Výsledek na webu

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    A novel approach to estimate systematic and random error of terrain derived from UAVs: a case study from a post-mining site

  • Popis výsledku v původním jazyce

    In recent years, there has been a major development in the field of Unmanned Aerial Vehicles (UAVs) as well as a significant increase in the use of aerial photogrammetry, which is an affordable alternative to using LiDAR However, the nature of the data obtained from photogrammetry differs from LiDAR data. Photogrammetry using the Structure from Motion (SfM) method is however computationally complicated and results can be effected by many influences. In this paper, data from two UAVs were compared The first one is a commercial eBee system produced by SenseFly equipped with a Sony Cyber-shot DCS-WX220 camera. The other is a home assembled solution consisting of EasyStar II motorised glider and 3DR Pixhawk B autopilot equipped with Nikon Coolpix A camera. The area of spoil heap was measured by both systems in the leaf-off period Both systems were set up identically for data acquisition (overlapping, resolution), which made a comparison of the output quality possible. The ground control points (GCPs) were placed in the study area and their position determined by GNSS (RTK method).

  • Název v anglickém jazyce

    A novel approach to estimate systematic and random error of terrain derived from UAVs: a case study from a post-mining site

  • Popis výsledku anglicky

    In recent years, there has been a major development in the field of Unmanned Aerial Vehicles (UAVs) as well as a significant increase in the use of aerial photogrammetry, which is an affordable alternative to using LiDAR However, the nature of the data obtained from photogrammetry differs from LiDAR data. Photogrammetry using the Structure from Motion (SfM) method is however computationally complicated and results can be effected by many influences. In this paper, data from two UAVs were compared The first one is a commercial eBee system produced by SenseFly equipped with a Sony Cyber-shot DCS-WX220 camera. The other is a home assembled solution consisting of EasyStar II motorised glider and 3DR Pixhawk B autopilot equipped with Nikon Coolpix A camera. The area of spoil heap was measured by both systems in the leaf-off period Both systems were set up identically for data acquisition (overlapping, resolution), which made a comparison of the output quality possible. The ground control points (GCPs) were placed in the study area and their position determined by GNSS (RTK method).

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10500 - Earth and related environmental sciences

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2018

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Acta Montanistica Slovaca

  • ISSN

    1335-1788

  • e-ISSN

  • Svazek periodika

    23

  • Číslo periodika v rámci svazku

    3

  • Stát vydavatele periodika

    SK - Slovenská republika

  • Počet stran výsledku

    12

  • Strana od-do

    325-336

  • Kód UT WoS článku

    000454044000008

  • EID výsledku v databázi Scopus

    2-s2.0-85061530853