R: Fill NA data cube pixels by simple time series interpolation

fill_time {gdalcubes} | R Documentation

## Fill NA data cube pixels by simple time series interpolation

### Description

Create a proxy data cube, which fills NA pixels of a data cube by nearest neighbor or linear time series interpolation.

### Usage

    fill_time(cube, method = "near")

### Arguments

`cube` | source data cube
`method` | interpolation method, can be "near" (nearest neighbor), "linear" (linear interpolation), "locf" (last observation carried forward), or "nocb" (next observation carried backward)

### Details

Please notice that completely empty (NA) time series will not be filled, i.e. the result cube might still contain NA values.

### Value

a proxy data cube object

### Note

This function returns a proxy object, i.e., it will not start any computations besides deriving the shape of the result.

### Examples

    # 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"))
    }
    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="P3M", 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.filled = fill_time(L8.rgb, "linear")
    L8.filled

    plot(L8.filled, rgb=3:1, zlim=c(5000,12000))

[Package gdalcubes version 0.6.0 Index]