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Monitoring infestations of oak forests by Tortrix viridana (Lepidoptera: Tortricidae) using remote sensing

Author

Listed:
  • Leila Gooshbor

    (Department of Forestry,)

  • Mahtab Pir Bavaghar

    (Department of Forestry,
    Center for Research & Development of Northern Zagros Forests,)

  • Jamil Amanollahi

    (Department of Environment, Faculty of Natural Resources, and)

  • Hamed Ghobari

    (Department of Plant Protection, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran)

Abstract

We tested the suitability of Landsat images to track defoliation by insect herbivory with focus on the oak leaf roller, Tortrix viridana (Lep.: Tortricidae). Landsat images from the period before (2002) and after the T. viridana infestation (2007, 2014) were compared in oak forests of Zagros in western Iran. The Normalised Difference Vegetation Index (NDVI) was calculated for the test area from Landsat 5, 7, and 8 images. Because the red and near-infrared spectral bands of Landsat 8 OLI sensors are different from the other two, a model for the calibration of Landsat OLI NDVI was developed. The proposed model with a correlation coefficient of 0.928 and root mean square error of 0.05 turned out to be applicable and the NDVI decreased significantly during the observation period. Taking into account the protection status of the area and small fluctuations in temperature, the decrease in NDVI could be attributed to T. viridana damage.

Suggested Citation

  • Leila Gooshbor & Mahtab Pir Bavaghar & Jamil Amanollahi & Hamed Ghobari, 2016. "Monitoring infestations of oak forests by Tortrix viridana (Lepidoptera: Tortricidae) using remote sensing," Plant Protection Science, Czech Academy of Agricultural Sciences, vol. 52(4), pages 270-276.
    • Handle: RePEc:caa:jnlpps:v:52:y:2016:i:4:id:185-2015-pps
    DOI: 10.17221/185/2015-PPS
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