deseasonalizeRaster: Deseasonlize a raster using spatial normalisation

In jreiche/bayts: Probabalistic approach to combine multiple time series and Bayesian probability updating for near real-time forest change detection

Description

Deseasonlize a single raster layer or each individual raster layer in a brick. "Deseasonlized pixel value" = "original pixel value" - "percentile of the distribution of the raster"

Usage

deseasonalizeRaster(b, percentile = 0.95, min = NULL, max = NULL)

Arguments

b	raster or raster brick
percentile	percentile of the distribution used to deseasonalize the raster. Values between 0 - 1.
min	minimum value allowed. Values below the minimum are set to NA.
max	maximum value allowed. Values above the maximum are set to NA.

Value

deseasonlized raster layer or raster brick

Author(s)

Johannes Reiche (Wageningen University)

Examples

data(s1vv_lndvi_raster)

plot(s1vv,3)

s1vvd <- deseasonalizeRaster(s1vv,p=0.95)

plot(s1vvd,3)

jreiche/bayts documentation built on Feb. 3, 2021, 1:12 a.m.