DOKK / manpages / debian 12 / pktools / pkkalman.1.en
pkkalman(1) pkkalman(1)

pkkalman - kalman raster images: median, min/max, morphological, kalmaning


pkkalman
[options]

pkkalman will complement a time series of observations (option -obs) at fine spatial resolution. A data assimilation technique based on a Kalman filter is hereby used. The data at fine spatial resolution are assimilated with coarse spatial resolution time series at a finer temporal resolution, referred to as a model (option -mod). The time series for both observation and model can either be provided as multi-band raster datasets or as multiple single band datasets. Missing data in the observations are predicted by the algorithm. The model must cover at least the spatial coverage of the observation. The missing data must be provided either as nodata values in the input (using option -obsnodata) or as an external mask (using option -obsmask). The time sequence for the model and observation should be provided via the options -tmod and -tobs. Tuning parameters for the algorithm are process noise (option -q) and the weights for uncertainty of valid observations (-uo) and the model (-um).

direction to run model (forward|backward|smooth)
coarse spatial resolution input datasets(s) used as model. Use either multi-band input (-model multiband_model.tif) or multiple single-band inputs (-mod model1 -mod model2 etc.)
model mask datasets(s). Must have same dimension as model input. Use either multi-band input or multiple single-band inputs
fine spatial resolution input dataset(s) used as observation. Use either multi-band input (-obs multiband_obs.tif) or multiple single-band inputs (-obs obs1 -obs obs2 etc.)
observation mask dataset(s). Must have same dimension as observation input (use multi-band input or multiple single-band inputs)
time sequence of model input. Sequence must have exact same length as model input. Leave empty to have default sequence 0,1,2,etc.
time sequence of observation input. Sequence must have exact same length as observation input
Override the projection for the output file (leave blank to copy from input file, use epsg:3035 to use European projection and force to European grid)
Output raster dataset for forward model
Uncertainty output raster dataset for forward model
Output raster dataset for backward model
Uncertainty output raster dataset for backward model
Output raster dataset for smooth model
Uncertainty output raster dataset for smooth model
invalid value for model input
invalid value for observation input
Mask value not to consider
Mask band to read (0 indexed)
Minimum value for observation data
Maximum value for observation data
epsilon for non zero division. Default: 0.00001
Uncertainty of the model
Uncertainty of valid observations
Uncertainty in case of no-data values in observation.
Process noise: expresses instability (variance) of proportions of fine res pixels within a moderate resolution pixel
Downsampling factor for reading model data to calculate regression (default is ratio between coarse (model) and fine (obs) resolution raster datasets)
Data type for output image ({Byte / Int16 / UInt16 / UInt32 / Int32 / Float32 / Float64 / CInt16 / CInt32 / CFloat32 / CFloat64}). Empty string: inherit type from input image
Output image format (see also gdal_translate(1)). Empty string: inherit from input image
Creation option for output file. Multiple options can be specified.
verbose mode when positive
01 December 2022