Remote Sensing Applications and Decision Support

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

[+] Author Affiliations
Alem Gebru, Mikkel Brydegaard

Lund Laser Centre, Department of Physics, Lund, Sweden

Lund University, Centre for Animal Movement, Department of Biology, Lund, Sweden

Stellenbosch University, Laser Research Institute, Department of Physics, Matieland, Stellenbosch, South Africa

FaunaPhotonics IVS, Copenhagen, Denmark

Erich Rohwer, Pieter Neethling

Stellenbosch University, Laser Research Institute, Department of Physics, Matieland, Stellenbosch, South Africa

J. Appl. Remote Sens. 11(1), 016015 (Jan 31, 2017). doi:10.1117/1.JRS.11.016015
History: Received August 19, 2016; Accepted January 12, 2017
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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 (VIS-NIR) 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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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Alem Gebru ; Mikkel Brydegaard ; Erich Rohwer and Pieter Neethling
"Probing insect backscatter cross section and melanization using kHz optical remote detection system", J. Appl. Remote Sens. 11(1), 016015 (Jan 31, 2017). ; http://dx.doi.org/10.1117/1.JRS.11.016015


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