plot.vector_cube: Plot RGB vector data cubes

In e-sensing/sits: Satellite Image Time Series Analysis for Earth Observation Data Cubes

Plot RGB vector data cubes

Description

Plot RGB raster cube

Usage

## S3 method for class 'vector_cube'
plot(
  x,
  ...,
  band = sits_bands(x)[1],
  red = NULL,
  green = NULL,
  blue = NULL,
  tile = x$tile[[1]],
  date = NULL,
  seg_color = "black",
  line_width = 1,
  palette = "RdYlGn",
  rev = FALSE,
  tmap_options = NULL
)

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.
date	Date 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?
tmap_options	Named list with optional tmap parameters max_cells (default: 1e+06) scale (default: 1.0) graticules_labels_size (default: 0.7) legend_title_size (default: 1.0) legend_text_size (default: 1.0) legend_bg_color (default: "white") legend_bg_alpha (default: 0.5)

Value

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

Note

To see which color palettes are supported, please run

Author(s)

Gilberto Camara, [e-mail]

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",
        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])
}

e-sensing/sits documentation built on Jan. 28, 2024, 6:05 a.m.