eumap.gapfillerΒΆ

Gapfilling approaches using temporal and spatial neighbor pixels

Functions

time_first_space_later

Helper function to gapfill all the missing pixels using first a temporal strategy (TMWM, TLI, SSA) and later a spatial strategy (InPainting).

Classes

ImageGapfill

Abstract class responsible for read/write the raster files in all implemented gapfilling methods.

InPainting

Approach that uses a inpating technique [1] to gapfill raster data using neighborhood values.

OutlierRemover

Strategy to remove outliers considering the temporal domain.

SSA

Approach that uses a Singular Spectral Analysis (SSA [1]) to gapfill the missing values and smooth all the raster data.

TLI

Temporal Linear Interpolation able to gapfill the missing pixels using a linear regression [1] over the time using all valid pixels.

TMWM

Temporal Moving Window Median able to gapfill the missing pixels using the temporal neighborhood by a moving window to calculate several median possibilities.