slice_time | R Documentation |
Create a proxy data cube, which extracts a time slice from a data cube defined by label (datetime string) or integer index.
slice_time(cube, datetime = NULL, it = NULL)
cube |
source data cube |
datetime |
character; datetime string of the time slice |
it |
integer; index of the time slice (zero-based) |
Either datetime
or it
must be non-NULL. If both arguments are provided, the integer index it
is ignored.
This function returns a proxy object, i.e., it will not start any computations besides deriving the shape of the result.
# create image collection from example Landsat data only
# if not already done in other examples
if (!file.exists(file.path(tempdir(), "L8.db"))) {
L8_files <- list.files(system.file("L8NY18", package = "gdalcubes"),
".TIF", recursive = TRUE, full.names = TRUE)
create_image_collection(L8_files, "L8_L1TP", file.path(tempdir(), "L8.db"), quiet = TRUE)
}
L8.col = image_collection(file.path(tempdir(), "L8.db"))
v = cube_view(extent=list(left=388941.2, right=766552.4,
bottom=4345299, top=4744931, t0="2018-01", t1="2018-12"),
srs="EPSG:32618", nx = 497, ny=526, dt="P1M", aggregation = "median")
L8.cube = raster_cube(L8.col, v, mask=image_mask("BQA", bits=4, values=16))
L8.rgb = select_bands(L8.cube, c("B02", "B03", "B04"))
L8.slice = slice_time(L8.rgb, "2018-03")
L8.slice
plot(L8.slice, rgb=3:1, zlim=c(5000,12000))
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