Practical Atmospheric Correction Algorithms for a Multi-Spectral Sensor From the Visible Through the Thermal Spectral Regions

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Deriving information about the Earth's surface requires atmospheric corrections of the measured top-of-the-atmosphere radiances. One possible path is to use atmospheric radiative transfer codes to predict how the radiance leaving the ground is affected by the scattering and attenuation. In practice the atmosphere is usually not well known and thus it is necessary to use more practical methods. The authors will describe how to find dark surfaces, estimate the atmospheric optical depth, estimate path radiance and identify thick clouds using thresholds on reflectance and NDVI and columnar water vapor. The authors describe a simple method to correct a visible channel ... continued below

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Borel, C.C.; Villeneuve, P.V.; Clodium, W.B.; Szymenski, J.J. & Davis, A.B. April 4, 1999.

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Deriving information about the Earth's surface requires atmospheric corrections of the measured top-of-the-atmosphere radiances. One possible path is to use atmospheric radiative transfer codes to predict how the radiance leaving the ground is affected by the scattering and attenuation. In practice the atmosphere is usually not well known and thus it is necessary to use more practical methods. The authors will describe how to find dark surfaces, estimate the atmospheric optical depth, estimate path radiance and identify thick clouds using thresholds on reflectance and NDVI and columnar water vapor. The authors describe a simple method to correct a visible channel contaminated by a thin cirrus clouds.

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Medium: P; Size: vp.

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OSTI as DE00758897

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  • SPIE AeroSense '99, Orlando, FL (US), 04/04/1999--04/05/1999

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  • Report No.: LA-UR-99-1374
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 758897
  • Archival Resource Key: ark:/67531/metadc702684

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  • April 4, 1999

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  • Sept. 12, 2015, 6:31 a.m.

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  • May 6, 2016, 1:51 p.m.

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Borel, C.C.; Villeneuve, P.V.; Clodium, W.B.; Szymenski, J.J. & Davis, A.B. Practical Atmospheric Correction Algorithms for a Multi-Spectral Sensor From the Visible Through the Thermal Spectral Regions, article, April 4, 1999; New Mexico. (digital.library.unt.edu/ark:/67531/metadc702684/: accessed October 24, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.