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    Author(s): E. H. Helmer
    Date: 2007
    Source: Canadian Journal of Remote Sensing. ; 42(3):325-340.
    Publication Series: Miscellaneous Publication
    Station: International Institute of Tropical Forestry
    PDF: View PDF  (2.0 MB)

    Description

    Mapping persistently cloudy tropical landscapes with optical satellite imagenery usually requires assembling the clear imagery from several dates. this study compares methods for normalizing image data when filling cloud gaps in Landsat imagery with imagery from other dates.

    Publication Notes

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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Helmer, E. H. 2007. A comparison of radiometric normalization methods when filling cloud gaps in Lansat imagery. Canadian Journal of Remote Sensing. ; 42(3):325-340.

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