4.3 Article

Exploitation of an atmospheric lidar network node in single-shot mode for the classification of aerofauna

Journal

JOURNAL OF APPLIED REMOTE SENSING
Volume 11, Issue -, Pages -

Publisher

SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
DOI: 10.1117/1.JRS.11.036009

Keywords

aerofauna; lidar; remote sensing; European Aerosol Lidar Network; animal migration; laser spectroscopy

Funding

  1. Swedish Research Council [621-2013-4361]
  2. Lund University
  3. Swedish Research Council Linnaeus Grants [349-2007-8690, 349-2006-121]
  4. Lund University to the Centre for Animal Movement Research (CAnMove)
  5. Swedish Research Council through a U-forsk Grant [348-2014-3481]
  6. European Community through the ACTRIS Research Infrastructure Action under the 7th Framework Programme [262254]

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The migration of aerofauna is a seasonal phenomenon of global scale, engaging billions of individuals in long-distance movements every year. Multiband lidar systems are commonly employed for the monitoring of aerosols and atmospheric gases, and a number of systems are operated regularly across Europe in the framework of the European Aerosol Lidar Network (EARLINET). This work examines the feasibility of utilizing EARLINET for the monitoring and classification of migratory fauna based on their pigmentation. An EARLINET Raman lidar system in Athens transmits laser pulses in three bands. By installing a four-channel digital oscilloscope on the system, the backscattered light from single-laser shots is measured. Roughly 100 h of data were gathered in the summer of 2013. The data were examined for aerofauna observations, and a total of 1735 observations interpreted as airborne organisms intercepting the laser beam were found during the study period in July to August 2013. The properties of the observations were analyzed spectrally and intercompared. A spectral multimodality that could be related to different observed species is shown. The system used in this pilot study is located in Athens, Greece. It is concluded that monitoring aerial migration using it and other similar systems is feasible with minor modifications, and that in-flight species classification could be possible. (C) 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)

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