Počet záznamů: 1  

Landsat Imagery Spectral Trajectories - Important Variables for Spatially Predicting the Risks of Bark Beetle Disturbance

  1. 1. 0463567 - BU-J 2017 RIV CH eng J - Článek v odborném periodiku
    Hais, M. - Wild, Jan - Berec, Luděk - Brůna, Josef - Kennedy, J. - Braaten, J. - Brož, Z.
    Landsat Imagery Spectral Trajectories - Important Variables for Spatially Predicting the Risks of Bark Beetle Disturbance.
    Remote Sensing. Roč. 8, č. 8 (2016), s. 1-22. ISSN 2072-4292
    Grant CEP: GA MŠk(CZ) LD15158
    Institucionální podpora: RVO:67985939 ; RVO:60077344
    Klíčová slova: forest disturbance * spectral trajectories * bark beetle * Landsat
    Kód oboru RIV: GK - Lesnictví; EH - Ekologie - společenstva (BC-A)
    Obor OECD: Ecology; Ecology (BC-A)
    Impakt faktor: 3.244, rok: 2016

    In this study we introduce pre-disturbance spectral trajectories from Landsat Thematic Mapper (TM) imagery as an indicator of long-term stress into models of bark beetle infestation. Their inclusion improved models predictive ability. Wetness slope had the greatest predictive power, even relative to environmental predictors, and was relatively stable in its power over the years. The pre-disturbance spectral trajectories are valuable not only for assessing the risk of bark beetle infestation, but also for detection of long-term gradual changes even in non-forest ecosystems.
    Trvalý link: http://hdl.handle.net/11104/0262740