Počet záznamů: 1  

Remote sensing as a tool for monitoring plant invasions: testing the effects of data resolution and image classification approach on the detection of a model plant species Heracleum mantegazzianum (giant hogweed)

  1. 1.
    SYSNO ASEP0397795
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevRemote sensing as a tool for monitoring plant invasions: testing the effects of data resolution and image classification approach on the detection of a model plant species Heracleum mantegazzianum (giant hogweed)
    Tvůrce(i) Müllerová, Jana (BU-J) RID, ORCID
    Pergl, Jan (BU-J) RID, ORCID
    Pyšek, Petr (BU-J) RID, ORCID
    Celkový počet autorů3
    Zdroj.dok.International Journal of Applied Earth Observation and Geoinformation. - : Elsevier - ISSN 0303-2434
    Roč. 25, Dec.2013 (2013), s. 55-65
    Poč.str.11 s.
    Jazyk dok.eng - angličtina
    Země vyd.NL - Nizozemsko
    Klíč. slovahistorical aerial VHR photography ; invasion progress ; object and pixel-based image classification
    Vědní obor RIVEF - Botanika
    CEPIAA600050811 GA AV ČR - Akademie věd
    Institucionální podporaBU-J - RVO:67985939
    UT WOS000322099700007
    DOI10.1016/j.jag.2013.03.004
    AnotaceRemote sensing assessment of a noxious invasive species Heracleum mantegazzianum integrating different data sources, spatial and spectral resolutions, and image processing techniques. Panchromatic, multispectral and color very high spatial resolution aerial photography (1947 to 2006, res. 0.5 m), and medium spatial resolution satellite data (Rapid Eye 2010, res. 5 m) were analyzed to assess their potential for hogweed monitoring by using pixel- and object-based image analysis. We established automatic, relatively fast, and efficient (time-effective and standardized) computer-assisted methods for monitoring invasions and their long-term dynamics that could be applied over large areas. The methodology presented here is suitable for mapping the progress of invasion, identifying areas at the highest invasion risk, and enabling early detection at the beginning of invasion, hence it can make management measures more efficient and less expensive.
    PracovištěBotanický ústav
    KontaktMartina Bartošová, martina.bartosova@ibot.cas.cz, ibot@ibot.cas.cz, Tel.: 271 015 242 ; Marie Jakšová, marie.jaksova@ibot.cas.cz, Tel.: 384 721 156-8
    Rok sběru2014
Počet záznamů: 1  

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