Skip to Main Content
A comparison of radiometric normalization methods when filling cloud gaps in Lansat imagery.Author(s): E. H. Helmer
Source: Canadian Journal of Remote Sensing. ; 42(3):325-340.
Publication Series: Miscellaneous Publication
Station: International Institute of Tropical Forestry
PDF: Download Publication (2.0 MB)
DescriptionMapping 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.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationHelmer, 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.
- Biomass accumulation rates of Amazonian secondary forest and biomass of old-growth forests from Landsat time series and the Geoscience Laser Altimeter System
- Image-based change estimation for land cover and land use monitoring
- Harmonic analysis of dense time series of landsat imagery for modeling change in forest conditions
XML: View XML