The package provides tools to fill missing values in satellite data and to develop new gap-fill algorithms. The methods are tailored to data observed at equally-spaced points in space and time.
- MOD13A1_NDVI_Alaska:
gapfill-MOD13A1_NDVI_Alaska.R,gapfill-MOD13A1_NDVI_Alaska.Rout
- Gerber, F., de Jong, R., Schaepman, M. E., Schaepman-Strub, G., and Furrer, R. Predicting missing values in spatio-temporal remote sensing data. IEEE Transactions on Geoscience and Remote Sensing, 56(5):2841–2853, 2018. http://dx.doi.org/10.1109/TGRS.2017.2785240
- https://CRAN.R-project.org/package=gapfill
- https://git.math.uzh.ch/florian.gerber/gapfill