Publikation:

Characterizing animal anatomy and internal composition for electromagnetic modelling in radar entomology

Lade...
Vorschaubild

Dateien

Mirkovic_2-zmkbz71zmc8u5.pdf
Mirkovic_2-zmkbz71zmc8u5.pdfGröße: 728.92 KBDownloads: 208

Datum

2019

Autor:innen

Mirkovic, Djordje
Stepanian, Phillip M.
Wainwright, Charlotte E.
Reynolds, Don R.

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

DOI (zitierfähiger Link)
ArXiv-ID

Internationale Patentnummer

Link zur Lizenz

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Gold
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published

Erschienen in

Remote Sensing in Ecology and Conservation. Wiley-Blackwell. 2019, 5(2), pp. 169-179. eISSN 2056-3485. Available under: doi: 10.1002/rse2.94

Zusammenfassung

The use of radar as an observational tool in entomological studies has a long history, and ongoing advances in operational radar networks and radio-frequency technology hold promise for advances in applications such as aerial insect detection, identification and quantification. Realizing this potential requires increasingly sophisticated characterizations of radio-scattering signatures for a broad set of insect taxa, including variability in probing radar wavelength, polarization and aspect angle. Although this task has traditionally been approached through laboratory measurement of radar cross-sections, the effort required to create a comprehensive specimen-based library of scattering signatures would be prohibitive. As an alternative, we investigate the performance of electromagnetic modelling for creating such a database, focusing particularly on the influence of geometric and dielectric model properties on the accuracy of synthesized scattering signatures. We use a published database which includes geometric size measurements and laboratory-measured radar cross-sections for 194 insect specimens. The insect anatomy and body composition were emulated using six different models, and radar cross-sections of each model were obtained through electromagnetic modelling and compared with the original laboratory measurements. Of the models tested, the prolate ellipsoid with an internal dielectric of homogenized chitin and hemolymph mixture best replicates the measurements, providing an appropriate technique for further modelling efforts.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
570 Biowissenschaften, Biologie

Schlagwörter

Electromagnetic modelling, entomological radar, Insect RCS, insects, migration, radar cross‐section, weather surveillance radar

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690MIRKOVIC, Djordje, Phillip M. STEPANIAN, Charlotte E. WAINWRIGHT, Don R. REYNOLDS, Myles MENZ, 2019. Characterizing animal anatomy and internal composition for electromagnetic modelling in radar entomology. In: Remote Sensing in Ecology and Conservation. Wiley-Blackwell. 2019, 5(2), pp. 169-179. eISSN 2056-3485. Available under: doi: 10.1002/rse2.94
BibTex
@article{Mirkovic2019-06Chara-49969,
  year={2019},
  doi={10.1002/rse2.94},
  title={Characterizing animal anatomy and internal composition for electromagnetic modelling in radar entomology},
  number={2},
  volume={5},
  journal={Remote Sensing in Ecology and Conservation},
  pages={169--179},
  author={Mirkovic, Djordje and Stepanian, Phillip M. and Wainwright, Charlotte E. and Reynolds, Don R. and Menz, Myles}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/49969">
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/49969/3/Mirkovic_2-zmkbz71zmc8u5.pdf"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/49969/3/Mirkovic_2-zmkbz71zmc8u5.pdf"/>
    <dc:creator>Wainwright, Charlotte E.</dc:creator>
    <dc:rights>Attribution 4.0 International</dc:rights>
    <dc:contributor>Reynolds, Don R.</dc:contributor>
    <dc:contributor>Stepanian, Phillip M.</dc:contributor>
    <dc:contributor>Wainwright, Charlotte E.</dc:contributor>
    <dc:contributor>Mirkovic, Djordje</dc:contributor>
    <dc:creator>Mirkovic, Djordje</dc:creator>
    <dc:contributor>Menz, Myles</dc:contributor>
    <dcterms:abstract xml:lang="eng">The use of radar as an observational tool in entomological studies has a long history, and ongoing advances in operational radar networks and radio-frequency technology hold promise for advances in applications such as aerial insect detection, identification and quantification. Realizing this potential requires increasingly sophisticated characterizations of radio-scattering signatures for a broad set of insect taxa, including variability in probing radar wavelength, polarization and aspect angle. Although this task has traditionally been approached through laboratory measurement of radar cross-sections, the effort required to create a comprehensive specimen-based library of scattering signatures would be prohibitive. As an alternative, we investigate the performance of electromagnetic modelling for creating such a database, focusing particularly on the influence of geometric and dielectric model properties on the accuracy of synthesized scattering signatures. We use a published database which includes geometric size measurements and laboratory-measured radar cross-sections for 194 insect specimens. The insect anatomy and body composition were emulated using six different models, and radar cross-sections of each model were obtained through electromagnetic modelling and compared with the original laboratory measurements. Of the models tested, the prolate ellipsoid with an internal dielectric of homogenized chitin and hemolymph mixture best replicates the measurements, providing an appropriate technique for further modelling efforts.</dcterms:abstract>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-06-23T07:04:21Z</dc:date>
    <dc:creator>Stepanian, Phillip M.</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:creator>Menz, Myles</dc:creator>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/49969"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Reynolds, Don R.</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dc:language>eng</dc:language>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-06-23T07:04:21Z</dcterms:available>
    <dcterms:issued>2019-06</dcterms:issued>
    <dcterms:title>Characterizing animal anatomy and internal composition for electromagnetic modelling in radar entomology</dcterms:title>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Begutachtet
Ja
Diese Publikation teilen