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

0463567 - BÚ 2017 RIV CH eng J - Journal Article
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. E-ISSN 2072-4292
R&D Projects: GA MŠMT(CZ) LD15158
Institutional support: RVO:67985939 ; RVO:60077344
Keywords : forest disturbance * spectral trajectories * bark beetle * Landsat
OECD category: Ecology; Ecology (BC-A)
Impact factor: 3.244, year: 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.
Permanent Link: http://hdl.handle.net/11104/0262740