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PerOla

Per-Ola Olsson

Researcher

PerOla

Early Detection of Forest Bark Beetle Attack Using Time Series Spatial Variability of Spectral Indexes from Sentinel-2

Author

  • Sadegh Jamali
  • Per Ola Olsson
  • Mitro Muller
  • Arsalan Ghorbanian

Summary, in English

Bark beetle infestations pose a significant threat to forest ecosystems, necessitating timely intervention for effective management and conservation. This study focuses on an 8,100 km2 area in southern Sweden, heavily impacted by a bark beetle outbreak triggered by a severe drought in 2018. Using spectral indices derived from Sentinel-2 data, it explores the potential of a window-based approach for early detection of forest bark beetle attack, considering spatial variability between adjacent pixels. Four spectral indices (NDVI, NDWI, CCI, NDRS) are analyzed using a time series approach, and coefficient of variation (CV) between pixels in a window is employed to capture changes in vegetation health. The Chlorophyll Carotenoid Index (CCI) emerges as the most sensitive indicator for early detection. Detection algorithms, including DBEST, MLS, and CUSUM, pinpoint June 2018 as the month of bark beetle attack identification after a main swarming in May 2018, demonstrating superior performance compared to pixel-based frameworks. The results highlight the efficacy of integrating spatial properties with spectral indices in a time series analysis for enhanced early detection of bark beetle infestations.

Department/s

  • Dept of Physical Geography and Ecosystem Science
  • BECC: Biodiversity and Ecosystem services in a Changing Climate
  • eSSENCE: The e-Science Collaboration
  • MERGE: ModElling the Regional and Global Earth system
  • Transport and Roads

Publishing year

2024

Language

English

Pages

10157-10160

Publication/Series

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Physical Geography

Keywords

  • early detection
  • European spruce bark beetle
  • forest disturbance
  • Sentinel-2
  • time series analysis

Conference name

2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024

Conference date

2024-07-07 - 2024-07-12

Conference place

Athens, Greece

Status

Published

ISBN/ISSN/Other

  • ISBN: 9798350360325