Vector of the years included in the time series data.
folder.in
Folder (full path) containing the input rasters.
folder.out
Folder where the output will be written.
OUTPUT.fn
Filename for output. The extension of this filename will specify the output file type. For image files, OUTPUT.fn should end in .img
flat.pred.fn
Filename of a single layer .img file of the disturbance agents. The agents are specified by the integers from 0 to 6.
0
Unclassified
1
Conversion
2
Fire
3
Harvest
4
Stable
5
Stress
6
Recovery
INPUT.bands
Filenames of the multi-layer .img files of the shapes to be used.
layer.shape
Number giving the layer of the shape files containing the shape data.
layer.dyr
Number giving the layer of the shape files containing the disturbance year data.
layer.dur
Number giving the layer of the shape files containing the disturbance duration data.
layer.mag
Number giving the layer of the shape files containing the disturbance magnitude data.
Details
The function writes a seven-layer raster with layers for disturbance agent, median disturbance year, median disturbance duration and magnitude of all image files given in INPUT.bands, in the order the filenames are listed in INPUT.bands.
The layers for shape, dyr and dur need to be the same in all files named in INPUT.bands. The default is layer.shape = 1, layer.dyr = 2, layer.dur = 5, and layer.mag = 3.
If, for example, INPUT.bands = c(b5.fn, fi.fn, nbr.fn, and ndvi.fn), then the layers of the output file are:
1
Disturbance Agent
2
Disturbance Year
3
Disturbance Duration
4
Magnitude B5
5
Magnitude FI
6
Magnitude NBR
7
Magnitude NDVI
Value
The function does not return a value. Instead, a multi-band .img map file is created.
Author(s)
Liz Freeman
See Also
flat2annual
Examples
## Not run:
# define years
years <- c(1984, 1986:2010)
# define a folder for all output
folder.in <- paste(system.file(package = "ShapeSelectForest"),
"extdata", "helpexamples", sep = "/")
folder.out <- getwd()
# define filenames
flat.pred.fn <- "MINI_FLATPRED.img"
b5.fn <- "MINI_B5.img"
fi.fn <- "MINI_FI.img"
nbr.fn <- "MINI_NBR.img"
ndvi.fn <- "MINI_NDVI.img"
INPUT.bands <- c(b5.fn, fi.fn, nbr.fn, ndvi.fn)
# call f2p.raster
ans <- f2p.raster(years = years, folder.in = folder.in, folder.out = folder.out,
OUTPUT.fn = "f2p_example.img", flat.pred.fn = flat.pred.fn, INPUT.bands = INPUT.bands)
## End(Not run)
providing 
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