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.
The package provides tools to fill missing values in satellite data. It can be used to gap-fill, e.g., MODIS NDVI data, and is helpful for the development of new gap-fill algorithms. The predictions are based on a subset-predict procedure, i.e., each missing value is predicted separately by (1) subsetting the data to a neighborhood around it and (2) predict the values based on that subset. * Gap-filling can be executed in parallel. * Users may define Subset and Predict functions and run alternative prediction algorithms with little effort. See ?Extend for more information and examples. * The visualization of space-time data is simplified through the ggplot2 based function Image.
The package can be installed with
To get started see the example in