Entomological Scheimpflug lidar for estimating unique insect classes in-situ field test from Ivory Coast
(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.
(Less)
- author
- Kouakou, Benoit K. ; Jansson, Samuel LU ; Brydegaard, Mikkel LU and Zoueu, Jeremie T.
- organization
- publishing date
- 2020
- 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}}, }