pvts_meanstd: Mean and Standard Deviation in a Collection of Images

In pvts-approach/PVts: photosynthetic vegetation time series manipulation in R.

Description

Estimate the mean and the standard deviation in a Multitemporal Images.

Usage

pvts_meanstd(x, CLUSTER = NULL, fit_negative = TRUE,
  hamunyela = TRUE, RasterLayer = TRUE)

Arguments

x	filename(character), Raster* or star object (see read_stars).
CLUSTER	cluster to use for parallel apply; see makeCluster.
fit_negative	logical; if TRUE, negative values are replace by NA.
hamunyela	logical; if TRUE, the noise will be removed applying the Hamunyela smoothing.
RasterLayer	logical; if TRUE, return a RasterLayer object.

Examples

library(PVts)
data(pvts_datasets)
x = pvts_datasets$PVts[,1:50,1:50]

f1 = pvts_meanstd(x)
f2 = pvts_meanstd(x,hamunyela = FALSE)

pvts-approach/PVts documentation built on July 1, 2019, 4:59 p.m.