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TitleFrom at-sensor observation to at-surface information - quantitative support of geological exploration and environmental monitoring for hyperspectral remote sensing
AuthorWhite, H PORCID logo; Soffer, RORCID logo; Hitchcock, R
SourceProceedings of the 26th Canadian Symposium on Remote Sensing; 2005, 6 pages
Alt SeriesEarth Sciences Sector, Contribution Series 2005223
Meeting26th Canadian Symposium on Remote Sensing; Wolfville, NS; CA; June 14-16, 2005
Subjectsgeophysics; remote sensing; spectral analyses; satellites; satellite geodesy
Illustrationssatellite imagery
AbstractAs satellite-based remote sensing technology continues to evolve, increased spatial and spectral detail becomes available to better take advantage of the potential of Earth Observation for a variety of applications. These technological advances require a more robust and detailed focus on image pre-processing methodologies in order to exploit this potential for quantitative information extraction (for such products as atmospheric water vapour levels, at-surface reflectance, and vegetation equivalent water thickness).
A rigorous pre-processing system has been developed at the Canada Centre for Remote Sensing, Natural Resources Canada (CCRS/NRCan), which evaluates the quality of a hyperspectral dataset and determines sensor characteristics and artefacts (bad pixels, spectral and spatial curvature, noise levels and optimal pixel gain/offset values) efficiently and independently. The impact of deriving such information products with and without image pre-processing is demonstrated by comparing results obtained for various information extraction techniques.

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