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 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.
Original language | English |
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Article number | 016015 |
Journal | Journal of Applied Remote Sensing |
Volume | 11 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2017 Jan 1 |
Subject classification (UKÄ)
- Physical Sciences
- Zoology
Free keywords
- backscatter cross section
- dark-field spectroscopy
- harmonics
- melanization
- multiband detection
- remote sensing
- wing-beat frequency