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Timing of red-edge and shortwave infrared reflectance critical for early stress detection induced by bark beetle (Ips typographus, L.) attack

H. Abdullah,A. Skidmore,R. Darvishzadeh,M. Heurich

Published 2019 in International Journal of Applied Earth Observation and Geoinformation

ABSTRACT

Abstract Forest disturbance in Europe, induced by European spruce bark beetle Ips typographus, L., results in regional-scale dieback. Early stress detection in Norway spruce stands caused by bark beetle infestation at the green attack stage (when trees are yet to show distinct symptoms observable by the human eye) is crucial and can lead to improved forest management and reduced economic losses. This study aims to investigate and understand the dynamics of leaf traits and reflectance of Norway spruce (Picea abies) trees during bark beetle attack. Using high-resolution temporal images from RapidEye and SPOT-5 in parallel with the collection of field data, we examined which spectral regions and leaf traits are affected by infestation over time and how they help the discrimination between healthy and infested plots at the early stage of the attack. To achieve this aim, we used a novel approach by targeting both leaf and canopy level. We measured leaf reflectance spectra and six leaf traits (water content, nitrogen, chlorophyll fluorescence, chlorophyll and stomatal conductance) from 66 (30 plots) healthy and 54 (8 plots) infested trees at three consecutive time measurements in the summer of 2015 in the Bavarian Forest National Park. Concurrently, canopy reflectance and spectral vegetation indices (SVIs) were extracted from the selected plots (30 healthy plots) using seven RapidEye images and six SPOT-5 images. For the infested plots, in addition to the field measured plots (8), canopy spectral reflectance were extracted from the reference infestation data (291 plots) obtained through visual interpretation of high-resolution aerial photographs. Results demonstrated significant differences (p

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    International Journal of Applied Earth Observation and Geoinformation

  • Publication date

    2019-10-01

  • Fields of study

    Biology, Computer Science, Environmental Science

  • Identifiers
    DOI 10.1016/J.JAG.2019.101900
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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