Plot SAR raster cube
Usage
# S3 method for class 'sar_cube'
plot(
x,
...,
band = NULL,
red = NULL,
green = NULL,
blue = NULL,
tile = x[["tile"]][[1L]],
dates = NULL,
roi = NULL,
palette = "Greys",
rev = FALSE,
scale = 1,
first_quantile = 0.05,
last_quantile = 0.95,
max_cog_size = 1024L,
legend_position = "inside"
)
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.
- roi
Spatial extent to plot in WGS 84 - named vector with either (lon_min, lon_max, lat_min, lat_max) or (xmin, xmax, ymin, ymax)
- palette
An RColorBrewer palette
- rev
Reverse the color order in the palette?
- scale
Scale to plot map (0.4 to 1.0)
- 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)
- legend_position
Where to place the legend (default = "inside")
Note
Use scale
parameter for general output control.
The dates
parameter indicates the date
allows plotting of different dates when
a single band and three dates are provided, `sits` will plot a
multi-temporal RGB image for a single band (useful in the case of
SAR data). For RGB bands with multi-dates, multiple plots will be
produced.
The following optional parameters are available to allow for detailed control over the plot output:
graticules_labels_size
: size of coord labels (default = 0.7)legend_title_size
: relative size of legend title (default = 0.7)legend_text_size
: relative size of legend text (default = 0.7)legend_bg_color
: color of legend background (default = "white")legend_bg_alpha
: legend opacity (default = 0.3)
Author
Gilberto Camara, gilberto.camara@inpe.br
Examples
if (sits_run_examples()) {
# create a SAR data cube from cloud services
cube_s1_grd <- sits_cube(
source = "MPC",
collection = "SENTINEL-1-GRD",
bands = c("VV", "VH"),
orbit = "descending",
tiles = c("21LUJ"),
start_date = "2021-08-01",
end_date = "2021-09-30"
)
# plot VH band of the first date of the data cube
plot(cube_s1_grd, band = "VH")
}