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47 lines
1.8 KiB
R
47 lines
1.8 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/fill_time.R
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\name{fill_time}
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\alias{fill_time}
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\title{Fill NA data cube pixels by simple time series interpolation}
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\usage{
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fill_time(cube, method = "near")
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}
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\arguments{
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\item{cube}{source data cube}
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\item{method}{interpolation method, can be "near" (nearest neighbor), "linear" (linear interpolation), "locf" (last observation carried forward), or "nocb" (next observation carried backward)}
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}
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\value{
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a proxy data cube object
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}
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\description{
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Create a proxy data cube, which fills NA pixels of a data cube by nearest neighbor or linear time series interpolation.
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}
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\details{
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Please notice that completely empty (NA) time series will not be filled, i.e. the result cube might still contain NA values.
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}
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\note{
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This function returns a proxy object, i.e., it will not start any computations besides deriving the shape of the result.
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}
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\examples{
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# create image collection from example Landsat data only
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# if not already done in other examples
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if (!file.exists(file.path(tempdir(), "L8.db"))) {
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L8_files <- list.files(system.file("L8NY18", package = "gdalcubes"),
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".TIF", recursive = TRUE, full.names = TRUE)
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create_image_collection(L8_files, "L8_L1TP", file.path(tempdir(), "L8.db"), quiet = TRUE)
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}
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L8.col = image_collection(file.path(tempdir(), "L8.db"))
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v = cube_view(extent=list(left=388941.2, right=766552.4,
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bottom=4345299, top=4744931, t0="2018-01", t1="2018-12"),
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srs="EPSG:32618", nx = 497, ny=526, dt="P3M", aggregation = "median")
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L8.cube = raster_cube(L8.col, v, mask=image_mask("BQA", bits=4, values=16))
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L8.rgb = select_bands(L8.cube, c("B02", "B03", "B04"))
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L8.filled = fill_time(L8.rgb, "linear")
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L8.filled
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\donttest{
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plot(L8.filled, rgb=3:1, zlim=c(5000,12000))
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}
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}
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