A new algorithm for temperature and spectral emissivity retrieval over active fires in the TIR spectral range
The problem of temperature and spectral emissivity assessment from hyperspectral remotely sensed data is discussed with reference to monitoring of active fires and hot targets. A new algorithm, called similar pixel addition, was developed, which allows us to retrieve the temperature of burning areas...
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| Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2004-07, Vol.42 (7), p.1521-1529 |
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| container_title | IEEE transactions on geoscience and remote sensing |
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| creator | Barducci, A. Guzzi, D. Marcoionni, P. Pippi, I. |
| description | The problem of temperature and spectral emissivity assessment from hyperspectral remotely sensed data is discussed with reference to monitoring of active fires and hot targets. A new algorithm, called similar pixel addition, was developed, which allows us to retrieve the temperature of burning areas by employing spectral data collected at thermal infrared (TIR) wavelengths. The new algorithm resolves the uncertainty connected with temperature-emissivity separation assuming a slow spatial variation of emissivity, hence reducing the number of unknowns involved in the inversion of a couple of similar pixels at once. Performance of this procedure is thoroughly discussed and compared with results from two other algorithms operating in the TIR and shortwave infrared spectral ranges. This paper shows results obtained applying the new algorithm to hyperspectral images gathered by the Multispectral Infrared and Visible Imaging Spectrometer in Northern Italy (Alps) over a natural fire that broke out in July 1999. This paper is completed with a theoretical discussion of the involved topics. |
| doi_str_mv | 10.1109/TGRS.2004.826785 |
| format | Article |
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A new algorithm, called similar pixel addition, was developed, which allows us to retrieve the temperature of burning areas by employing spectral data collected at thermal infrared (TIR) wavelengths. The new algorithm resolves the uncertainty connected with temperature-emissivity separation assuming a slow spatial variation of emissivity, hence reducing the number of unknowns involved in the inversion of a couple of similar pixels at once. Performance of this procedure is thoroughly discussed and compared with results from two other algorithms operating in the TIR and shortwave infrared spectral ranges. This paper shows results obtained applying the new algorithm to hyperspectral images gathered by the Multispectral Infrared and Visible Imaging Spectrometer in Northern Italy (Alps) over a natural fire that broke out in July 1999. 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A new algorithm, called similar pixel addition, was developed, which allows us to retrieve the temperature of burning areas by employing spectral data collected at thermal infrared (TIR) wavelengths. The new algorithm resolves the uncertainty connected with temperature-emissivity separation assuming a slow spatial variation of emissivity, hence reducing the number of unknowns involved in the inversion of a couple of similar pixels at once. Performance of this procedure is thoroughly discussed and compared with results from two other algorithms operating in the TIR and shortwave infrared spectral ranges. This paper shows results obtained applying the new algorithm to hyperspectral images gathered by the Multispectral Infrared and Visible Imaging Spectrometer in Northern Italy (Alps) over a natural fire that broke out in July 1999. 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Geothermics</subject><subject>Exact sciences and technology</subject><subject>Fires</subject><subject>Hyperspectral imaging</subject><subject>Hyperspectral sensors</subject><subject>Information retrieval</subject><subject>Infrared spectra</subject><subject>Internal geophysics</subject><subject>Pollution, environment geology</subject><subject>Remote monitoring</subject><subject>Spatial resolution</subject><subject>Studies</subject><subject>Temperature distribution</subject><subject>Temperature sensors</subject><subject>Uncertainty</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqNkUtLZDEQhYM4YKuzH5hNEHR328rzJkuRGRUEwel9SMe6GrmPniTd4r83TQsNrlwVVH2nqDqHkF8M5oyBvVzcPP6bcwA5N1y3Rh2QGVPKNKClPCQzYFY33Fh-RI5zfgVgUrF2RoYrOuIb9f3zlGJ5GWg3JVpwWGHyZZ2Q-vGJ5hWGknxPcYg5x00s7zRhSRE3tTltMFEfStwg7WLCTONIywvSxd3jXpr8-Iyn5Efn-4w_P-sJWfz9s7i-be4fbu6ur-6bIAyUBrVgJmgMuuUamTRLJrC1Bpl_0thyw5cCjDYKsbMBuG1hqZUUshPYtV6ckIvd2lWa_q8xF1fvDtj3fsRpnV31wYJt2TdAxRiXuoJnX8DXaZ3G-oMzRgKXgpsKwQ4Kaco5YedWKQ4-vTsGbhuS24bktiG5XUhVcv651-fg-666FGLe65SVloOs3O8dFxFxPxZMGaHFByK2mrM</recordid><startdate>20040701</startdate><enddate>20040701</enddate><creator>Barducci, A.</creator><creator>Guzzi, D.</creator><creator>Marcoionni, P.</creator><creator>Pippi, I.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Applied geophysics Earth sciences Earth, ocean, space Engineering and environment geology. Geothermics Exact sciences and technology Fires Hyperspectral imaging Hyperspectral sensors Information retrieval Infrared spectra Internal geophysics Pollution, environment geology Remote monitoring Spatial resolution Studies Temperature distribution Temperature sensors Uncertainty |
| title | A new algorithm for temperature and spectral emissivity retrieval over active fires in the TIR spectral range |
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