Coherent Backscattering from Free-Flying Insects: Implications for Remote Species Identification

Meng Li

Coherent Backscattering from Free-Flying Insects: Implications for Remote Species Identification

Bidragets översatta titel : Koherent återspridning från fritt flygande insekter: Implikationer för fjärridentifiering av arter

Meng Li

Forskningsoutput: Avhandling › Doktorsavhandling (sammanläggning)

171 Nedladdningar (Pure)

Sammanfattning

Måste fånga fler: En riktig Pokédex för att identifiera insekter
Föreställ dig ett verktyg som kan identifiera levande insekter direkt i fält, precis som
en Pokédex i verkligheten. Ny teknologi kan göra denna dröm till verklighet, och
börjar med att förstå de utmaningar vi står inför.
Konventionella metoder för att studera insekter kan vara tidskrävande, svåra att
skala upp och ger sällan realtidsinformation, ofta kräver de att vi fångar in eller till
och med avlivar individer. Därför behövs nya verktyg för att snabbt identifiera dessa
viktiga varelser utan att störa deras naturliga beteende. Banbrytande teknik som
automatisering, och fjärranalys, samt datorseende, och maskininlärning utvecklas
för att övervaka och identifiera insekter. Men utmaningar finns – insekter i flykt är
svåra att fokusera på, och identifiering baserad på vingfrekvens har begränsningar.
Med miljontals insektsarter på jorden är snabb bedömning av biologisk mångfald
och övervakning av insekter en komplex uppgift.
För att möta behovet av mindre arbetskrävande, kostnadseffektiva, icke-invasiva
och storskaliga metoder för långsiktig insektsövervakning, har vårt team utvecklat
ett specialiserat verktyg: entomologisk lidar. Detta system använder en laserstråle
för att räkna insekter på avstånd i luften. Vi kan sedan analysera det reflekterade
ljuset för att skilja arter och samla in enorma datamängder – tänk dig att registrera
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insektsfälla klarar. Vår teknik ger en enorm fördel för att mäta förändringar i
biologisk mångfald och förstå insektsmigrationsmönster.
Även lidar har svårt att exakt identifiera varje insekt. Här kommer min forskning in.
Jag undersöker hur insektsvingar sprider ljus för att förbättra identifieringen. Tänk
dig att varje art har osynliga "fingeravtryck" på sina vingar – mönster av färg och
ljusreflektion som avslöjar deras identitet. Till och med bruna nattfjärilsvingar visar
överraskande färger med skimmer vid specifika våglängder. Genomskinliga vingar,
som hos bananflugor, uppvisar skiftande färger som påminner om såpbubblor på
grund av tunnfilmsinterferens. Min forskning fokuserar på hur vingmembranens
tjocklek påverkar dessa ljusinteraktioner. Genom att förstå vingars ljusspridning kan
vi förbättra identifieringen av insekter på avstånd i fält.
Vårt team utvecklar specialiserade lidarsystem för att detektera dessa mönster. Detta
verktyg kan revolutionera insektsstudier med långtgående effekter på
skadedjursbekämpning, bevarandeinsatser och vår förståelse av dessa avgörande
varelser.

Bidragets översatta titel	Koherent återspridning från fritt flygande insekter: Implikationer för fjärridentifiering av arter
Originalspråk	engelska
Kvalifikation	Doktor
Handledare	Brydegaard, Mikkel, handledare Rota, Jadranka, handledare Brackmann, Christian, handledare
Tilldelningsdatum	2024 okt. 4
Utgivningsort	Lund
Förlag	Department of Physics, Lund University
ISBN (tryckt)	978-91-8104-153-8
ISBN (elektroniskt)	978-91-8104-154-5
Status	Published - 2024 okt. 4

Bibliografisk information

Defence details
Date: 2024-10-04
Time: 09:15
Place: Lecture Hall Rydbergsalen, Department of Physics, Professorsgatan 1, Faculty of Engineering LTH, Lund University, Lund.
External reviewer(s)
Name: Vukusic, Pete
Title: Prof.
Affiliation: Exeter University, United Kingdom.
---

Ämnesklassifikation (UKÄ)

Fjärranalysteknik
Atom- och molekylfysik och optik
Ekologi

Tillgång till dokument

Thesis Meng Li LUCRIS

8 Artikel i vetenskaplig tidskrift
1 Konferenspaper i proceeding

Lidar as a Potential Tool for Monitoring Migratory Insects: A Field Case Study in Sweden
Chen, H., Li, M., Månefjord, H., Travers, P., Salvador, J., Müller, L., Dreyer, D., Alison, J., Thomas Høye, T., Hu, G., Warrant, E. & Brydegaard, M., 2024 maj 17, I: iScience. 27, 5, 109588.
Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

Öppen tillgång
Discrimination of Hover Fly Species and Sexes by Wing Interference Signals
Li, M., Runemark, A., Hernandez, J., Rota, J., Bygebjerg, R. & Brydegaard, M., 2023 okt. 18, I: Advanced Science.
Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

Öppen tillgång
Feasibility of Insect Identification Based on Spectral Fringes Produced by Clear Wings
Li, M., Runemark, A., Guilcher, N., Hernandez, J., Rota, J. & Brydegaard, M., 2023, I: IEEE Journal of Selected Topics in Quantum Electronics. 29, 4: Biophotonics, s. 1-8
Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

Öppen tillgång

Citera det här

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title = "Coherent Backscattering from Free-Flying Insects: Implications for Remote Species Identification",

abstract = "The alarming decline in global insect populations and diversity calls for improvedmonitoring methods with species specificity. Conventional trapping techniques arelabor-intensive and fail to provide real-time in situ data on species composition. Inresponse, novel remote and automated monitoring methods have emerged, offeringthe potential for high-resolution and efficient data collection. However, existingremote sensing techniques, which primarily focus on wingbeat frequencies or directinsect imaging, have inherent limitations. These include the overlap of wingbeatfrequencies between species and image challenges of focusing on rapid-movingfree-flying insects.To address these challenges, our research group has developed an entomologicallidar, using the Scheimpflug principle to acquire signals across various distances.This approach captures detailed spectroscopic and dynamic features. Lidar could bea realistic photonic solution for monitoring the state of insect populations anddiversity. My Ph.D. research investigates how the unique optical properties ofinsects, as characterized through infrared hyperspectral imaging, can enhance theiridentification in situ through lidar with multiple spectral bands or photonicmethodologies. Specifically, I'm exploring how wing reflectance, interferencepatterns, surface roughness, and polarimetry can improve insect speciesdifferentiation. This research also investigates promising methodologies like dualbandand hyperspectral lidar, which could identify insects in flight by their microandnanoscopic features.Entomological Lidar, combined with innovative photonic techniques, couldcomplement or transform insect monitoring. This transformation can enhance pestcontrol strategies, strengthen biodiversity studies, and deepen our knowledge ofthese crucial organisms.",

keywords = "lidar, insect, bark beetle, scheimpflug, wing beat frequency, interference pattern, biodiversity, hover fly, moth, mosquito, remote sensing, monitoring, hyperspectral, entomology, laser",

author = "Meng Li",

note = "Defence details Date: 2024-10-04 Time: 09:15 Place: Lecture Hall Rydbergsalen, Department of Physics, Professorsgatan 1, Faculty of Engineering LTH, Lund University, Lund. External reviewer(s) Name: Vukusic, Pete Title: Prof. Affiliation: Exeter University, United Kingdom. --- ",

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N1 - Defence details Date: 2024-10-04 Time: 09:15 Place: Lecture Hall Rydbergsalen, Department of Physics, Professorsgatan 1, Faculty of Engineering LTH, Lund University, Lund. External reviewer(s) Name: Vukusic, Pete Title: Prof. Affiliation: Exeter University, United Kingdom. ---

PY - 2024/10/4

Y1 - 2024/10/4

N2 - The alarming decline in global insect populations and diversity calls for improvedmonitoring methods with species specificity. Conventional trapping techniques arelabor-intensive and fail to provide real-time in situ data on species composition. Inresponse, novel remote and automated monitoring methods have emerged, offeringthe potential for high-resolution and efficient data collection. However, existingremote sensing techniques, which primarily focus on wingbeat frequencies or directinsect imaging, have inherent limitations. These include the overlap of wingbeatfrequencies between species and image challenges of focusing on rapid-movingfree-flying insects.To address these challenges, our research group has developed an entomologicallidar, using the Scheimpflug principle to acquire signals across various distances.This approach captures detailed spectroscopic and dynamic features. Lidar could bea realistic photonic solution for monitoring the state of insect populations anddiversity. My Ph.D. research investigates how the unique optical properties ofinsects, as characterized through infrared hyperspectral imaging, can enhance theiridentification in situ through lidar with multiple spectral bands or photonicmethodologies. Specifically, I'm exploring how wing reflectance, interferencepatterns, surface roughness, and polarimetry can improve insect speciesdifferentiation. This research also investigates promising methodologies like dualbandand hyperspectral lidar, which could identify insects in flight by their microandnanoscopic features.Entomological Lidar, combined with innovative photonic techniques, couldcomplement or transform insect monitoring. This transformation can enhance pestcontrol strategies, strengthen biodiversity studies, and deepen our knowledge ofthese crucial organisms.

AB - The alarming decline in global insect populations and diversity calls for improvedmonitoring methods with species specificity. Conventional trapping techniques arelabor-intensive and fail to provide real-time in situ data on species composition. Inresponse, novel remote and automated monitoring methods have emerged, offeringthe potential for high-resolution and efficient data collection. However, existingremote sensing techniques, which primarily focus on wingbeat frequencies or directinsect imaging, have inherent limitations. These include the overlap of wingbeatfrequencies between species and image challenges of focusing on rapid-movingfree-flying insects.To address these challenges, our research group has developed an entomologicallidar, using the Scheimpflug principle to acquire signals across various distances.This approach captures detailed spectroscopic and dynamic features. Lidar could bea realistic photonic solution for monitoring the state of insect populations anddiversity. My Ph.D. research investigates how the unique optical properties ofinsects, as characterized through infrared hyperspectral imaging, can enhance theiridentification in situ through lidar with multiple spectral bands or photonicmethodologies. Specifically, I'm exploring how wing reflectance, interferencepatterns, surface roughness, and polarimetry can improve insect speciesdifferentiation. This research also investigates promising methodologies like dualbandand hyperspectral lidar, which could identify insects in flight by their microandnanoscopic features.Entomological Lidar, combined with innovative photonic techniques, couldcomplement or transform insect monitoring. This transformation can enhance pestcontrol strategies, strengthen biodiversity studies, and deepen our knowledge ofthese crucial organisms.

KW - lidar

KW - insect

KW - bark beetle

KW - scheimpflug

KW - wing beat frequency

KW - interference pattern

KW - biodiversity

KW - hover fly

KW - moth

KW - mosquito

KW - remote sensing

KW - monitoring

KW - hyperspectral

KW - entomology

KW - laser

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SN - 978-91-8104-153-8

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CY - Lund

ER -

Coherent Backscattering from Free-Flying Insects: Implications for Remote Species Identification

Sammanfattning

Bibliografisk information

Ämnesklassifikation (UKÄ)

Tillgång till dokument

Fingeravtryck

Forskningsoutput

Lidar as a Potential Tool for Monitoring Migratory Insects: A Field Case Study in Sweden

Discrimination of Hover Fly Species and Sexes by Wing Interference Signals

Feasibility of Insect Identification Based on Spectral Fringes Produced by Clear Wings

Citera det här