phenoCropClass: phenoCropClass
In CAWaR: CAWa Project Tools

Description Usage Arguments Details Value See Also Examples

Spatially explicit and phenology driven classification scheme for cropland mapping.

1	phenoCropClass(x, y, z, match = FALSE)

`x`	A matrix or data.frame.
`y`	A character vector.
`z`	A numeric element. Default is 1.
`match`	logical argument.

Correlates x with each row in y. The row in y with the highest correlation is reported as the selected class. If match is set to TRUE the function will use Dynamic Time Wrapping (DTW) x and y at each iteration. z sets the temporal buffer used to search to matching data points. The final output is a data.frame containing:

r2 - R^{2} between x and each row y.
count - Number of records used to estimate the R^{2}.
max.interval - Maximum gap between data points when NA values exist.

A list containing a set of reference profiles for each unique class in y.

analyseTS phenoCropVal

{

require(fieldRS)

# read reference profiles
data(referenceProfiles)

# target time series
x <- c(2200, 4500, 4600, 6400, 1600)
y <- referenceProfiles[,2:6]

# Perform classification
c <-phenoCropClass(x, y)
head(c)

}