Fill Missing Values in Satellite Data

Tools to fill missing values in satellite data and to develop new gap-fill algorithms. The methods are tailored to data (images) observed at equally-spaced points in time. The package is illustrated with MODIS NDVI data.


Reference manual

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0.9.5-3 by Florian Gerber, 5 months ago

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Authors: Florian Gerber

Documentation:   PDF Manual  

GPL (>= 2) license

Imports fields, foreach, Rcpp, quantreg

Depends on ggplot2

Suggests roxygen2, spam, testthat, abind

Enhances raster, doParallel, doMPI

Linking to Rcpp

See at CRAN