sits (version 1.5.1)

plot.vector_cube: Plot RGB vector data cubes

Description

Plot RGB raster cube

Usage

# S3 method for vector_cube
plot(
  x,
  ...,
  band = NULL,
  red = NULL,
  green = NULL,
  blue = NULL,
  tile = x[["tile"]][[1]],
  dates = NULL,
  seg_color = "yellow",
  line_width = 0.3,
  palette = "RdYlGn",
  rev = FALSE,
  scale = 1,
  first_quantile = 0.02,
  last_quantile = 0.98,
  max_cog_size = 1024
)

Value

A plot object with an RGB image or a B/W image on a color scale using the palette

Arguments

x

Object of class "raster_cube".

...

Further specifications for plot.

band

Band for plotting grey images.

red

Band for red color.

green

Band for green color.

blue

Band for blue color.

tile

Tile to be plotted.

dates

Dates to be plotted.

seg_color

Color to show the segment boundaries

line_width

Line width to plot the segments boundary (in pixels)

palette

An RColorBrewer palette

rev

Reverse the color order in the palette?

scale

Scale to plot map (0.4 to 1.5)

first_quantile

First quantile for stretching images

last_quantile

Last quantile for stretching images

max_cog_size

Maximum size of COG overviews (lines or columns)

Author

Gilberto Camara,

Examples

if (sits_run_examples()) {
    # create a data cube from local files
    data_dir <- system.file("extdata/raster/mod13q1", package = "sits")
    cube <- sits_cube(
        source = "BDC",
        collection = "MOD13Q1-6.1",
        data_dir = data_dir
    )
    # Segment the cube
    segments <- sits_segment(
        cube = cube,
        output_dir = tempdir(),
        multicores = 2,
        memsize = 4
    )
    # plot NDVI band of the second date date of the data cube
    plot(segments, band = "NDVI", date = sits_timeline(cube)[1])
}