&lt;title&gt;Methodologies and protocols for the collection of midwave and longwave infrared emissivity spectra using a portable field spectrometer&lt;/title&gt;

Salvaggio, Carl; Miller, Craig

doi:10.1117/12.437046

Cited by 38 publications

(43 citation statements)

References 4 publications

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“…The measured radiance actually consists of the sum of various radiances entering the equipment, and for the conditions used in the present study the relation between the radiances can be written as (Salvaggio and Miller, 2001):…”

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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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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“…Therefore, after measuring canopy temperature before and after each measurement, the blackbody fit method was used to calculate the sample emissivity value. Details about the blackbody fit method can be found in Kahle and Alley (1992) and Salvaggio and Miller (2001). The emissivity of 279 wavebands between 8 μm and 14 μm was selected for analysis; measurements outside this range had a very low signal strength.…”

Section: Canopy Thermal Infrared Radiance Measurementmentioning

confidence: 99%

“…The cold blackbody temperature was set just below the ambient temperature, at 5°C (Korb et al 1996). 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).…”

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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“…Measurements were made in accordance with the published SITAC protocols for this sensor 1,2 . The instrument was first calibrated with warm and cold blackbody sources.…”

Section: Spectral Sensor Overviewmentioning

confidence: 99%

MWIR and LWIR spectral signatures of water and associated materials

Mitchell¹,

Salvaggio²

2003

SPIE Proceedings

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Spectral infrared emissivity measurements have been made of a variety of materials both with and without surface water. The surface water was either natural, in the form of dew or residual rainwater, or artificially introduced by manual wetting. Materials naturally high in water content were also measured. Despite the rather diverse spectral population of the underlying materials, they exhibited very similar, featureless, water-like spectra; spectrally flat with a very high magnitude across the emissive infrared region. The implication to exploitation personnel that may use emissive infrared hyperspectral image data is that in areas where condensation is likely (e.g. high humidity) or in areas populated with high water content background materials (e.g. highly vegetated areas), discrimination may prove an intractable problem with hyperspectral infrared sensing for ambient temperature targets. A target that exhibits a temperature either below or above ambient temperature may be detectable, but not identified, and may be more economically pursued with a far simpler, single-band midwave or longwave sensor.

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<title>Methodologies and protocols for the collection of midwave and longwave infrared emissivity spectra using a portable field spectrometer</title>

Cited by 38 publications

References 4 publications

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

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

Leaf Area Index Retrieved From Thermal Hyperspectral Data

MWIR and LWIR spectral signatures of water and associated materials

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