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Treesearch

A comparison of radiometric normalization methods when filling cloud gaps in Lansat imagery.

Informally Refereed
Download (PDF 3.07 MB): https://research.fs.usda.gov/download/treesearch/30282.pdf

Abstract

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.

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.