Evidence map›Paper›PMID 31681478›Full record

ArticleRemote sensing in ecology and conservation2019

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

Djordje Mirkovic, Phillip M Stepanian, Charlotte E Wainwright, Don R Reynolds, Myles H M Menz

Abstract read
In one paragraph

Article in Remote sensing in ecology and conservation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Declines in an abundant aquatic insect, the burrowing mayfly, across major North American waterways.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Djordje MirkovicCooperative Institute for Mesoscale Meteorological Studies University of Oklahoma Norman Oklahoma 73072 USA.ORCID 0000-0002-6722-4100
Phillip M StepanianComputational and Analytical Sciences Department Rothamsted Research Harpenden Hertfordshire AL5 2JQ United Kingdom.ORCID 0000-0003-3542-7007
Charlotte E WainwrightComputational and Analytical Sciences Department Rothamsted Research Harpenden Hertfordshire AL5 2JQ United Kingdom.
Don R ReynoldsComputational and Analytical Sciences Department Rothamsted Research Harpenden Hertfordshire AL5 2JQ United Kingdom.
Myles H M MenzInstitute of Ecology and Evolution University of Bern 3012 Bern Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Electromagnetic modellingentomological radarInsect RCSinsectsmigrationradar cross‐sectionweather surveillance radar

Identifiers

PMID31681478
PMCPMC6813627

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.