Abstract
A plant species discrimination experiment was carried out using emissive thermal infrared imaging spectroscopy. This was a first application of the Telops HyperCam-LW for vegetation analysis. The Telops HyperCam-LW is a Fourier-transform imaging spectrometer designed for airborne, field and laboratory application. Compared to laboratory spectrometers, this spectrometer allows fast measurements at high spectral resolution in the 8-12 μm spectral range. This paper shows that this spectrometer - in a field measurement setup - is capable of capturing high quality spectral information, comparable to laboratory instruments. We used this spectrometer to capture leaf spectra, generally considered as spectrally flat surfaces. Using the Telops HyperCam-LW, it was possible to capture the subtle signatures and perform species discrimination analysis with very good results. Further, the potential of a hyperspectral airborne or spaceborne study focusing on vegetation analysis is discussed.
Original language | English |
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Title of host publication | 2014 6th Workshop on Hyperspectral Image and Signal Processing |
Subtitle of host publication | Evolution in Remote Sensing, WHISPERS 2014 |
Place of Publication | Lausanne |
Publisher | IEEE |
Pages | 1-4 |
Number of pages | 4 |
ISBN (Electronic) | 9781467390125 |
DOIs | |
Publication status | Published - 28 Jun 2014 |
Event | 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014 - Lausanne, Switzerland Duration: 24 Jun 2014 → 27 Jun 2014 Conference number: 6 |
Publication series
Name | Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing |
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Volume | 2014-June |
ISSN (Print) | 2158-6276 |
Workshop
Workshop | 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014 |
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Abbreviated title | WHISPERS 2014 |
Country/Territory | Switzerland |
City | Lausanne |
Period | 24/06/14 → 27/06/14 |
Keywords
- Emissivity
- Hyperspectral Thermal Infrared
- Species discrimination
- Spectral Smoothness
- Temperature and Emissivity Separation
- TES
- Vegetation