Fill Missing Values in Satellite Data
Convert an Array with 4 Dimensions into a Matrix
Subset an Array with 4 dimensions
Estimate the Quantile of a Missing Value
Implement an Alternative Gap-fill Algorithm
Overview
Main Function for Gap-Filling
Image Panels
Index Conversions
Score Columns of a Matrix Containing NAs by its Values
Subset and Predict Functions
Validation with RMSE
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.