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Article

Insect Target Classes Discerned from Entomological Radar Data

1
School of Sciences, UNSW Canberra, The University of New South Wales, Canberra 2612, Australia
2
Lund Vision Group, Department of Biology, Lund University, S-22362 Lund, Sweden
3
Institute for Applied Ecology, University of Canberra, Canberra 2601, Australia
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(4), 673; https://doi.org/10.3390/rs12040673
Submission received: 21 January 2020 / Revised: 14 February 2020 / Accepted: 14 February 2020 / Published: 18 February 2020
(This article belongs to the Special Issue Radar Aeroecology)

Abstract

Entomological radars employing the ‘ZLC’ (zenith-pointing linear-polarized narrow-angle conical scan) configuration detect individual insects flying overhead and can retrieve information about a target’s trajectory (its direction and speed), the insect’s body alignment and four parameters that characterize the target itself: its radar cross section, two shape parameters and its wingbeat frequency. Criteria have previously been developed to distinguish Australian Plague Locusts Chortoicetes terminifera, large moths, medium moths and small insects using the target-character parameters. Combinations of target characters that occur frequently, known as target ‘classes’, have also been identified previously both through qualitative analyses and more objectively with a 4D peak-finding algorithm applied to a dataset spanning a single flight season. In this study, fourteen years of radar observations from Bourke, NSW (30.0392°S, 145.952°E, 107 m above MSL) have been used to test this approach and potentially improve its utility. We found that the previous criteria for assigning targets to classes require some modification, that classes identified in the previous studies were frequently present in other years and that two additional classes could be recognized. Additionally, by incorporating air-temperature information from a meteorological model, we have shown that different classes fly in different temperature ranges. By drawing on knowledge concerning migrant species found in the regional areas around the radar site, together with morphological measurements and radar cross-section data for proxy species, we have made tentative identifications of the insect taxa likely to be contributing to each class.
Keywords: radar entomology; insects; target classes; insect RCS; migration; radar cross-section; moth; grasshopper radar entomology; insects; target classes; insect RCS; migration; radar cross-section; moth; grasshopper
Graphical Abstract

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MDPI and ACS Style

Hao, Z.; Drake, V.A.; Taylor, J.R.; Warrant, E. Insect Target Classes Discerned from Entomological Radar Data. Remote Sens. 2020, 12, 673. https://doi.org/10.3390/rs12040673

AMA Style

Hao Z, Drake VA, Taylor JR, Warrant E. Insect Target Classes Discerned from Entomological Radar Data. Remote Sensing. 2020; 12(4):673. https://doi.org/10.3390/rs12040673

Chicago/Turabian Style

Hao, Zhenhua, V. Alistair Drake, John R. Taylor, and Eric Warrant. 2020. "Insect Target Classes Discerned from Entomological Radar Data" Remote Sensing 12, no. 4: 673. https://doi.org/10.3390/rs12040673

APA Style

Hao, Z., Drake, V. A., Taylor, J. R., & Warrant, E. (2020). Insect Target Classes Discerned from Entomological Radar Data. Remote Sensing, 12(4), 673. https://doi.org/10.3390/rs12040673

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