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Robust and diverse multidimensional statistical moments in dual-band entomological lidar for improved real-time insect monitoring

Dreyer, David LU ; Li, Meng LU orcid ; Månefjord, Hampus LU orcid ; Yamoa, Assoumou Saint Doria ; Gbogbo, Yatana Adolphe ; Müller, Lauro LU ; Runemark, Anna LU ; Kouakou, Benoit Kouassi ; Boateng, Rabbi and Huzortey, Andrew Atiogbe , et al. (2026) In The Journal of experimental biology 229(11).
Abstract

As some insect groups are declining at alarming rates, accurate and automated insect monitoring is needed to prioritize habitats for conservation. The dual-band entomological Scheimpflug lidar technique is a promising candidate method for real-time insect monitoring: it allows the detection of thousands of flying insects per day at high temporal and spatial resolutions. The signals contain a plethora of properties which can be assigned to flight heading- and species-specific clues which may improve classification. Here, we introduce a systematic approach to robust dimensionality reduction of entomological lidar range-time intensity matrices (time and range, 2D) of observations, into time dependent vectors (1D) and scalar values (0D)... (More)

As some insect groups are declining at alarming rates, accurate and automated insect monitoring is needed to prioritize habitats for conservation. The dual-band entomological Scheimpflug lidar technique is a promising candidate method for real-time insect monitoring: it allows the detection of thousands of flying insects per day at high temporal and spatial resolutions. The signals contain a plethora of properties which can be assigned to flight heading- and species-specific clues which may improve classification. Here, we introduce a systematic approach to robust dimensionality reduction of entomological lidar range-time intensity matrices (time and range, 2D) of observations, into time dependent vectors (1D) and scalar values (0D) which encode features related to the flight heading and species characteristics. Using this single-night dataset as a case study, we show that dual-band parameters not only confirm expected patterns of average insect melanization but also enable exploration of signal diversity such as insects that display distinct spectral signatures.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Biodiversity, Entomological lidar, Remote sensing, Statistical moments
in
The Journal of experimental biology
volume
229
issue
11
publisher
The Company of Biologists Ltd
external identifiers
  • pmid:42093572
  • scopus:105040755895
ISSN
1477-9145
DOI
10.1242/jeb.251761
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2026. Published by The Company of Biologists.
id
c2e0862f-77e7-4f9e-a8c5-a7a809f50dbd
date added to LUP
2026-06-10 12:04:19
date last changed
2026-06-17 03:14:36
@article{c2e0862f-77e7-4f9e-a8c5-a7a809f50dbd,
  abstract     = {{<p>As some insect groups are declining at alarming rates, accurate and automated insect monitoring is needed to prioritize habitats for conservation. The dual-band entomological Scheimpflug lidar technique is a promising candidate method for real-time insect monitoring: it allows the detection of thousands of flying insects per day at high temporal and spatial resolutions. The signals contain a plethora of properties which can be assigned to flight heading- and species-specific clues which may improve classification. Here, we introduce a systematic approach to robust dimensionality reduction of entomological lidar range-time intensity matrices (time and range, 2D) of observations, into time dependent vectors (1D) and scalar values (0D) which encode features related to the flight heading and species characteristics. Using this single-night dataset as a case study, we show that dual-band parameters not only confirm expected patterns of average insect melanization but also enable exploration of signal diversity such as insects that display distinct spectral signatures.</p>}},
  author       = {{Dreyer, David and Li, Meng and Månefjord, Hampus and Yamoa, Assoumou Saint Doria and Gbogbo, Yatana Adolphe and Müller, Lauro and Runemark, Anna and Kouakou, Benoit Kouassi and Boateng, Rabbi and Huzortey, Andrew Atiogbe and Zoueu, Jérémie T. and Anderson, Benjamin and Brydegaard, Mikkel}},
  issn         = {{1477-9145}},
  keywords     = {{Biodiversity; Entomological lidar; Remote sensing; Statistical moments}},
  language     = {{eng}},
  month        = {{06}},
  number       = {{11}},
  publisher    = {{The Company of Biologists Ltd}},
  series       = {{The Journal of experimental biology}},
  title        = {{Robust and diverse multidimensional statistical moments in dual-band entomological lidar for improved real-time insect monitoring}},
  url          = {{http://dx.doi.org/10.1242/jeb.251761}},
  doi          = {{10.1242/jeb.251761}},
  volume       = {{229}},
  year         = {{2026}},
}