The micro fourier transform interferometer (μFTIR) — A new field spectrometer for acquisition of infrared data of natural surfaces

Hook, Simon J.; Kahle, Anne B.

doi:10.1016/0034-4257(95)00231-6

Cited by 80 publications

(45 citation statements)

References 3 publications

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“…The hot blackbody temperature was set above the sample temperature (Hori et al 2006;Salvaggio and Miller 2001), at 30°C. Details of the radiometric calibration applied with the measurements of these blackbodies' radiances can be found in (Hook and Kahle 1996). A diffuse reflecting gold plate with an emissivity of ~ 0.04 was used to collect downwelling radiance (DWR) in order to determine the quantitative influence of the laboratory background selfemission (Eisele et al 2015).…”

Section: Canopy Thermal Infrared Radiance Measurementmentioning

confidence: 99%

Leaf Area Index Retrieved From Thermal Hyperspectral Data

Neinavaz¹,

Skidmore²,

Darvishzadeh³

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Leaf area index (LAI) is an important essential biodiversity variable due to its role in many terrestrial ecosystem processes such as evapotranspiration, energy balance, and gas exchanges as well as plant growth potential. A novel approach presented here is the retrieval of LAI using thermal infrared (8-14 μm, TIR) measurements. Here, we evaluate LAI retrieval using TIR hyperspectral data. Canopy emissivity spectral measurements were recorded under controlled laboratory conditions using a MIDAC (M4401-F) illuminator Fourier Transform Infrared spectrometer for two plant species during which LAI was destructively measured. The accuracy of retrieval for LAI was then assessed using partial least square regression (PLSR) and narrow band index calculated in the form of normalized difference index from all possible combinations of wavebands. The obtained accuracy from the PLSR for LAI retrieval was relatively higher than narrow-band vegetation index (0.54

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Section: Canopy Thermal Infrared Radiance Measurementmentioning

confidence: 99%

Leaf Area Index Retrieved From Thermal Hyperspectral Data

Neinavaz¹,

Skidmore²,

Darvishzadeh³

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Downwelling radiance of the hemisphere above the target is measured by a reflector located at the target, a gold plate with emissivity of ε = 0.040 in the spectral range. More details on the radiometric calibration of the instrument can be found in the studies by Hook and Kahle (1996) and Korb et al (1996).…”

Section: Calibration and Operation Of The Ftir Spectrometermentioning

confidence: 99%

Comparison of Emissivity, Transmittance, and Reflectance Infrared Spectra of Polycyclic Aromatic Hydrocarbons with those of Atmospheric Particulates (PM1)

Agudelo-Castañeda

Teixeira

Schneider

et al. 2015

Aerosol Air Qual. Res.

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Polycyclic Aromatic Hydrocarbons (PAHs) are a group of various complex organic compounds composed of carbon and hydrogen, and two or more condensed benzene rings. They are released into the atmosphere by the incomplete combustion or pyrolysis of organic matter. Some of the major sources of PAHs are burning of coal, wood, oil or gas, vehicle engines exhaust, and open burning. PAHs are of great concern to human health mainly because of their known carcinogenic and mutagenic properties. Consequently, it is very important to study atmospheric PAHs, especially those associated with ultrafine particles. This study aims to identify the spectral features of PAHs in samples of particulate matter < 1 µm (PM 1 ) using infrared spectrometry. Emissivity and transmittance spectra of PAHs were obtained by infrared spectroscopy. PAHs standards spectra contributed to effectively identify PAHs in PM 1 samples. Emissivity and transmittance spectra in the range of 680-900 cm -1 exhibited the largest number of bands due to C-C out-of-plane angular deformations and C-H out-of-plane angular deformations. Bands of medium intensity in 2900-3050 cm -1 region were also observed due to C-H stretching typical of aromatic compounds, although with lower intensity. This study compared the emissivity and transmittance spectra acquired using two different infrared spectrometers in order to identify PAHs in samples of atmospheric particulate matter and analyzed the capability and advantages of each of the infrared spectrometers. In addition, it was confirmed that the PAHs under study can be distinguished by their infrared spectral fingerprints.

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“…A radiometric calibration is needed to acquire calibrated spectra in units of radiance [17]. Assuming linearity of FTIR spectrometers, the spectral response and the non-uniformities are determined for every pixel and the non-uniformities are eliminated during the calibration process using a 2-point complex radiometric calibration.…”

Section: Instrument Calibrationmentioning

confidence: 99%

“…While in theory this is also under-determined for hyperspectral data, the large number of wavelengths allows a good fit to the Planck radiance for a single temperature [15]. A number of approaches based on different assumptions have been developed to estimate emissivity [16,17], for instance the temperature-emissivity separation algorithm (TES, [16]). However, for agricultural applications the TES procedure tends to underestimate emissivities and consequently overestimate land surface temperatures, with potential emissivity errors of up to 2.0%, resulting in errors of 2-3 °C [18].…”

Section: Introductionmentioning

confidence: 99%

A Hyperspectral Thermal Infrared Imaging Instrument for Natural Resources Applications

Schlerf¹,

Rock

Lagueux³

et al. 2012

Remote Sensing

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Abstract:A new instrument has been setup at the Centre de Recherche Public-Gabriel Lippmann to measure spectral emissivity values of typical earth surface samples in the 8 to 12 μm range at a spectral resolution of up to 0.25 cm −1 . The instrument is based on a Hyper-Cam-LW built by Telops with a modified fore-optic for vertical measurements at ground level and a platform for airborne acquisitions. A processing chain has been developed to convert calibrated radiances into emissivity spectra. Repeat measurements taken on samples of sandstone show a high repeatability of the system with a wavelength dependent standard deviation of less than 0.01 (1.25% of the mean emissivity). Evaluation of retrieved emissivity spectra indicates good agreement with reference measurements. The new instrument facilitates the assessment of the spatial variability of emissivity spectra of material surfaces-at present still largely unknown-at various scales from ground and airborne platforms and thus will provide new opportunities in environmental remote sensing.

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The micro fourier transform interferometer (μFTIR) — A new field spectrometer for acquisition of infrared data of natural surfaces

Cited by 80 publications

References 3 publications

Leaf Area Index Retrieved From Thermal Hyperspectral Data

Leaf Area Index Retrieved From Thermal Hyperspectral Data

Comparison of Emissivity, Transmittance, and Reflectance Infrared Spectra of Polycyclic Aromatic Hydrocarbons with those of Atmospheric Particulates (PM1)

A Hyperspectral Thermal Infrared Imaging Instrument for Natural Resources Applications

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