High Dynamic Range in Entomological Scheimpflug Lidars
(2021) In IEEE Journal of Selected Topics in Quantum Electronics 27(4).- Abstract
Minimizing insecticide use, preventing vector diseases and facilitating biodiversity assessments are suitable applications of recent advances in photonic insect surveillance and entomological lidar. The tools also comprise a new window into fundamental aspect of the fascinating life and ecology of insects and their predators in situ. At the same time, it is evident that lidars are subject to finite detection range given by the instrument noise and saturation levels, and therefore, intervals of the biomass spectra are sectioned at different ranges. The Scheimpflug lidar allows an interesting trade-off between high sample rate and low pulse energy for retrieving wing beat harmonics and slow sample rates with high pulse energy for... (More)
Minimizing insecticide use, preventing vector diseases and facilitating biodiversity assessments are suitable applications of recent advances in photonic insect surveillance and entomological lidar. The tools also comprise a new window into fundamental aspect of the fascinating life and ecology of insects and their predators in situ. At the same time, it is evident that lidars are subject to finite detection range given by the instrument noise and saturation levels, and therefore, intervals of the biomass spectra are sectioned at different ranges. The Scheimpflug lidar allows an interesting trade-off between high sample rate and low pulse energy for retrieving wing beat harmonics and slow sample rates with high pulse energy for detecting small species far away. In this paper, we review and revise calibration, sizing and associated deficiencies, and report count rates to 104 insects/minute up to 2 km range. We investigate if and how high dynamic range can be exploited in entomological lidar and also how fast and slow sample rates could complement each other and capture a wider span of the biomass spectrum. We demonstrate that smaller insect can be detected further away by long exposures and show consistency between the captured biomass size spectra. However, we find unexpected discrepancies between short and long exposures in the range distributions. We found that vertebrates as well as specular insects can saturate signals. Error sources and limitations are elaborated on.
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- author
- Brydegaard, Mikkel LU ; Kouakou, Benoit ; Jansson, Samuel LU ; Rydell, Jens LU and Zoueu, Jeremie
- organization
- publishing date
- 2021-07-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Aerofauna, biophotonics, ecology, entomology, environmental monitoring, laser radar, lidar, remote sensing
- in
- IEEE Journal of Selected Topics in Quantum Electronics
- volume
- 27
- issue
- 4
- article number
- 9363514
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85101829355
- ISSN
- 1077-260X
- DOI
- 10.1109/JSTQE.2021.3062088
- language
- English
- LU publication?
- yes
- additional info
- Funding Information: This work was supported in part by the Royal Physiographic Society in Lund, in part by theCrafoord Foundation, in part by the African Spectral Imaging Network by International Science Program in Uppsala, in part by the Félix Houphouët-Boigny Institute, the Swedish Research Council, in part by the European Research Council through the ERC starting grant BugFlash and in part by the Swedish Energy Agency through the Vindval program (2016-000101). Funding Information: Manuscript received October 15, 2020; revised February 4, 2021 and February 22, 2021; accepted February 22, 2021. Date of publication February 25, 2021; date of current version April 5, 2021. This work was supported in part by the Royal Physiographic Society in Lund, in part by the Crafoord Foundation, in part by the African Spectral Imaging Network by International Science Program in Uppsala, in part by the Félix Houphouët-Boigny Institute, the Swedish Research Council, in part by the European Research Council through the ERC starting grant BugFlash and in part by the Swedish Energy Agency through the Vindval program (2016-000101). (Corresponding author: Mikkel Brydegaard.) Mikkel Brydegaard is with the Department of Physics and Biology, Lund University, Lund, Sweden, and also with the Norsk Elektro Optikk, 0667 Oslo, Norway (e-mail: mikkel.brydegaard@fysik.lth.se). Publisher Copyright: © 2021 IEEE.
- id
- adb988f6-4b15-4688-b87a-84cb08fa86da
- date added to LUP
- 2023-11-01 15:09:26
- date last changed
- 2023-11-02 15:12:42
@article{adb988f6-4b15-4688-b87a-84cb08fa86da,
abstract = {{<p>Minimizing insecticide use, preventing vector diseases and facilitating biodiversity assessments are suitable applications of recent advances in photonic insect surveillance and entomological lidar. The tools also comprise a new window into fundamental aspect of the fascinating life and ecology of insects and their predators in situ. At the same time, it is evident that lidars are subject to finite detection range given by the instrument noise and saturation levels, and therefore, intervals of the biomass spectra are sectioned at different ranges. The Scheimpflug lidar allows an interesting trade-off between high sample rate and low pulse energy for retrieving wing beat harmonics and slow sample rates with high pulse energy for detecting small species far away. In this paper, we review and revise calibration, sizing and associated deficiencies, and report count rates to 104 insects/minute up to 2 km range. We investigate if and how high dynamic range can be exploited in entomological lidar and also how fast and slow sample rates could complement each other and capture a wider span of the biomass spectrum. We demonstrate that smaller insect can be detected further away by long exposures and show consistency between the captured biomass size spectra. However, we find unexpected discrepancies between short and long exposures in the range distributions. We found that vertebrates as well as specular insects can saturate signals. Error sources and limitations are elaborated on.</p>}},
author = {{Brydegaard, Mikkel and Kouakou, Benoit and Jansson, Samuel and Rydell, Jens and Zoueu, Jeremie}},
issn = {{1077-260X}},
keywords = {{Aerofauna; biophotonics; ecology; entomology; environmental monitoring; laser radar; lidar; remote sensing}},
language = {{eng}},
month = {{07}},
number = {{4}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Journal of Selected Topics in Quantum Electronics}},
title = {{High Dynamic Range in Entomological Scheimpflug Lidars}},
url = {{http://dx.doi.org/10.1109/JSTQE.2021.3062088}},
doi = {{10.1109/JSTQE.2021.3062088}},
volume = {{27}},
year = {{2021}},
}