pktools  2.6.5
Processing Kernel for geospatial data
pkkalman

produce kalman filtered raster time series

SYNOPSIS

Options

shortlongtypedefaultdescription
dir direction std::string forward direction to run model (forward|backward|smooth)
mod model std::string model input datasets, e.g., MODIS (use: -mod model1 -mod model2 etc.
obs observation std::string observation input datasets, e.g., landsat (use: -obs obs1 -obs obs2 etc.
tmod tmodel int time sequence of model input. Sequence must have exact same length as model input. Leave empty to have default sequence 0,1,2,etc.
tobs tobservation int time sequence of observation input. Sequence must have exact same length as observation input)
a_srs a_srs std::string 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
ofw outputfw std::string Output raster dataset for forward model
obw outputbw std::string Output raster dataset for backward model
ofb outputfb std::string Output raster dataset for smooth model
modnodata modnodata double 0 invalid value for model input
obsnodata obsnodata double 0 invalid value for observation input
obsmin obsmin double Minimum value for observation data
obsmax obsmax double Maximum value for observation data
eps eps double 1e-05 epsilon for non zero division
um uncertmodel double 1 Uncertainty of the model
uo uncertobs double 1 Uncertainty of valid observations
unodata uncertnodata double 100 Uncertainty in case of no-data values in observation
q q double 1 Process noise: expresses instability (variance) of proportions of fine res pixels within a moderate resolution pixel
down down int Downsampling factor for reading model data to calculate regression
co co std::string Creation option for output file. Multiple options can be specified.
v verbose short 0 verbose mode when positive