mapDistance2Loess: Spatial calculation of temproal outliers distance

In johanez/probaV: Utils for time-series analysis of Proba-V data

Description

Applies smoothLoess spatially using mcCalc to derive the distance of outliers to the loess smoothed time series spatially.

Usage

mapDistance2Loess(x, QC_band = NULL, span = 0.3, res_type = c("distance",
  "sd_distance"), mc.cores = 1, ...)

Arguments

x	RasterBrick. Input ProbaV data, layer names must be Proba-V filenames! Multiple bands possible, stackign must be chronological.
QC_band	Integer. IWhcih band is the SM band?
span	Numeric. See smoothLoess
res_type	Character. "distance" or "sd_distance, see smoothLoess.
mc.cores	Integer. See mcCalc.
...	additional agruments to mcCalc.

Value

RasterBrick with distances to loess curve per band and date.

johanez/probaV documentation built on May 19, 2019, 3:01 p.m.