f2a.raster: Raster based flat-to-annual function.

In ShapeSelectForest: Shape Selection for Landsat Time Series of Forest Dynamics

Raster based flat-to-annual function.

Description

Applies flat2annual to each pixel in a raster to produce time series maps of disturbance.

Usage

f2a.raster(years, folder.in, folder.out, OUTPUT.fn, flat.pred.fn, INPUT.bands,
layer.shape = 1, layer.dyr = 2, layer.dur = 5)

Arguments

years	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.

Details

The function writes a multi-layer raster with one layer for each year in years given the predicted agent for each pixel at each year.

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, and layer.dur = 5.

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 f2a.raster
	ans <- f2a.raster(years = years, folder.in = folder.in, folder.out = folder.out, 
	OUTPUT.fn = "f2a_example.img", flat.pred.fn = flat.pred.fn, INPUT.bands = INPUT.bands)

## End(Not run)

ShapeSelectForest documentation built on Aug. 19, 2023, 5:11 p.m.