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Entomological Scheimpflug lidar for estimating unique insect classes in-situ field test from Ivory Coast

Kouakou, Benoit K. ; Jansson, Samuel LU ; Brydegaard, Mikkel LU and Zoueu, Jeremie T. (2020) In OSA Continuum 3(9). p.2362-2371
Abstract

Acquisition of entomological data with high-frequency lidar is an emerging research field in rapid development. The technique offers very high numbers of observations per time unit, suitable for statistical models. In this work, we use a near-infrared Scheimpflug lidar with a sampling frequency of 3.5 kHz to assess the activity of free flying organisms. In-situ measurements were done during the rainy season in Ivory Coast, and hierarchical cluster analysis was used to quantify the amount of unique modulation signatures. Here we propose a method to estimate the number of observed species within a certain air volume for a given time span. This paves the way for rapid in-situ biodiversity assessment in accordance with recent priorities for... (More)

Acquisition of entomological data with high-frequency lidar is an emerging research field in rapid development. The technique offers very high numbers of observations per time unit, suitable for statistical models. In this work, we use a near-infrared Scheimpflug lidar with a sampling frequency of 3.5 kHz to assess the activity of free flying organisms. In-situ measurements were done during the rainy season in Ivory Coast, and hierarchical cluster analysis was used to quantify the amount of unique modulation signatures. Here we propose a method to estimate the number of observed species within a certain air volume for a given time span. This paves the way for rapid in-situ biodiversity assessment in accordance with recent priorities for protection of pollinator diversity during global changes.

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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
OSA Continuum
volume
3
issue
9
pages
10 pages
publisher
Optical Society of America
external identifiers
  • scopus:85100926044
ISSN
2578-7519
DOI
10.1364/OSAC.387727
language
English
LU publication?
yes
id
df75632b-5199-42d6-a86e-b88c28a0afdf
date added to LUP
2022-04-01 08:35:11
date last changed
2022-04-24 23:36:20
@article{df75632b-5199-42d6-a86e-b88c28a0afdf,
  abstract     = {{<p>Acquisition of entomological data with high-frequency lidar is an emerging research field in rapid development. The technique offers very high numbers of observations per time unit, suitable for statistical models. In this work, we use a near-infrared Scheimpflug lidar with a sampling frequency of 3.5 kHz to assess the activity of free flying organisms. In-situ measurements were done during the rainy season in Ivory Coast, and hierarchical cluster analysis was used to quantify the amount of unique modulation signatures. Here we propose a method to estimate the number of observed species within a certain air volume for a given time span. This paves the way for rapid in-situ biodiversity assessment in accordance with recent priorities for protection of pollinator diversity during global changes.</p>}},
  author       = {{Kouakou, Benoit K. and Jansson, Samuel and Brydegaard, Mikkel and Zoueu, Jeremie T.}},
  issn         = {{2578-7519}},
  language     = {{eng}},
  number       = {{9}},
  pages        = {{2362--2371}},
  publisher    = {{Optical Society of America}},
  series       = {{OSA Continuum}},
  title        = {{Entomological Scheimpflug lidar for estimating unique insect classes in-situ field test from Ivory Coast}},
  url          = {{http://dx.doi.org/10.1364/OSAC.387727}},
  doi          = {{10.1364/OSAC.387727}},
  volume       = {{3}},
  year         = {{2020}},
}