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Probing insect backscatter cross section and melanization using kHz optical remote detection system

Gebru, Alem ; Brydegaard, Mikkel LU ; Rohwer, Erich and Neethling, Pieter (2017) In Journal of Applied Remote Sensing 11(1).
Abstract

A kHz optical remote sensing system is implemented to determine insect melanization features. This is done by measuring the backscatter signal in the visible and near-infrared (VISNIR) and short-wave infrared (SWIR) in situ. It is shown that backscatter cross section in the SWIR is insensitive to melanization and absolute melanization can be derived from the ratio of backscatter cross section of different bands (SWIR/VIS-NIR). We have shown that reflectance from insect is stronger in the SWIR as compared to NIR and VIS. This reveals that melanization plays a big role to determine backscatter cross section. One can use this feature as a tool to improve insect species and age classification. To support the findings, we illustrated... (More)

A kHz optical remote sensing system is implemented to determine insect melanization features. This is done by measuring the backscatter signal in the visible and near-infrared (VISNIR) and short-wave infrared (SWIR) in situ. It is shown that backscatter cross section in the SWIR is insensitive to melanization and absolute melanization can be derived from the ratio of backscatter cross section of different bands (SWIR/VIS-NIR). We have shown that reflectance from insect is stronger in the SWIR as compared to NIR and VIS. This reveals that melanization plays a big role to determine backscatter cross section. One can use this feature as a tool to improve insect species and age classification. To support the findings, we illustrated melanization feature using three different insects [dead, dried specimens of snow white moth (Spilosoma genus), fox moth (Macrothylacia), and leather beetle (Odontotaenius genus)]. It is shown that reflectance from the leather beetle in the VIS and NIR is more affected by melanization as compared with snow white moth.

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author
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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
backscatter cross section, dark-field spectroscopy, harmonics, melanization, multiband detection, remote sensing, wing-beat frequency
in
Journal of Applied Remote Sensing
volume
11
issue
1
article number
016015
publisher
SPIE
external identifiers
  • scopus:85013499927
  • wos:000397646800001
ISSN
1931-3195
DOI
10.1117/1.JRS.11.016015
language
English
LU publication?
yes
id
eaa638b3-fe98-4ebc-9db3-ca6edc85e206
date added to LUP
2017-03-08 15:18:33
date last changed
2025-01-07 09:20:28
@article{eaa638b3-fe98-4ebc-9db3-ca6edc85e206,
  abstract     = {{<p>A kHz optical remote sensing system is implemented to determine insect melanization features. This is done by measuring the backscatter signal in the visible and near-infrared (VISNIR) and short-wave infrared (SWIR) in situ. It is shown that backscatter cross section in the SWIR is insensitive to melanization and absolute melanization can be derived from the ratio of backscatter cross section of different bands (SWIR/VIS-NIR). We have shown that reflectance from insect is stronger in the SWIR as compared to NIR and VIS. This reveals that melanization plays a big role to determine backscatter cross section. One can use this feature as a tool to improve insect species and age classification. To support the findings, we illustrated melanization feature using three different insects [dead, dried specimens of snow white moth (Spilosoma genus), fox moth (Macrothylacia), and leather beetle (Odontotaenius genus)]. It is shown that reflectance from the leather beetle in the VIS and NIR is more affected by melanization as compared with snow white moth.</p>}},
  author       = {{Gebru, Alem and Brydegaard, Mikkel and Rohwer, Erich and Neethling, Pieter}},
  issn         = {{1931-3195}},
  keywords     = {{backscatter cross section; dark-field spectroscopy; harmonics; melanization; multiband detection; remote sensing; wing-beat frequency}},
  language     = {{eng}},
  month        = {{01}},
  number       = {{1}},
  publisher    = {{SPIE}},
  series       = {{Journal of Applied Remote Sensing}},
  title        = {{Probing insect backscatter cross section and melanization using kHz optical remote detection system}},
  url          = {{http://dx.doi.org/10.1117/1.JRS.11.016015}},
  doi          = {{10.1117/1.JRS.11.016015}},
  volume       = {{11}},
  year         = {{2017}},
}