Paper
13 October 2008 In-scene-based atmospheric correction of uncalibrated VISible-SWIR (VIS-SWIR) hyper- and multi-spectral imagery
L. S. Bernstein, S. M. Adler-Golden, R. L. Sundberg, A. J. Ratkowski
Author Affiliations +
Proceedings Volume 7107, Remote Sensing of Clouds and the Atmosphere XIII; 710706 (2008) https://doi.org/10.1117/12.808193
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom
Abstract
The QUAC (Quick Atmospheric Correction) algorithm for in-scene-based atmospheric correction of VIS-SWIR (VISible-Short Wave InfraRed) Multi- and Hyperspectral Imagery (MSI and HSI) is reviewed and applied to radiometrically uncalibrated data. Quite good agreement was previously demonstrated for the retrieved pixel spectral reflectances between QUAC and the physics-based atmospheric correction code FLAASH (Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes) for a variety of HSI and MSI data cubes. In these code-to-code comparisons, all the data cubes were obtained with well-calibrated sensors. However, many sensors operate in an uncalibrated manner, precluding the use of physics-based codes to retrieve surface reflectance. The ability to retrieve absolute spectral reflectances from such sensors would significantly increase the utility of their data. We apply QUAC to calibrated and uncalibrated versions of the same Landsat MSI data cube, and demonstrate nearly identical retrieved spectral reflectances for the two data sets.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
L. S. Bernstein, S. M. Adler-Golden, R. L. Sundberg, and A. J. Ratkowski "In-scene-based atmospheric correction of uncalibrated VISible-SWIR (VIS-SWIR) hyper- and multi-spectral imagery", Proc. SPIE 7107, Remote Sensing of Clouds and the Atmosphere XIII, 710706 (13 October 2008); https://doi.org/10.1117/12.808193
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CITATIONS
Cited by 12 scholarly publications and 2 patents.
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KEYWORDS
Reflectivity

Sensors

Vegetation

Atmospheric corrections

Calibration

Earth observing sensors

Landsat

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