Plot the data within a landsat image, or information computed from the
data. The second category includes possibilities such as an estimate of
surface temperature and the "terralook" estimate of a natural-color
view.
# S4 method for landsat
plot(
x,
band,
which = 1,
decimate = TRUE,
zlim,
utm = FALSE,
col = oce.colorsPalette,
drawPalette = TRUE,
showBandName = TRUE,
alpha.f = 1,
red.f = 1.7,
green.f = 1.5,
blue.f = 6,
offset = c(0, -0.05, -0.2, 0),
transform = diag(c(red.f, green.f, blue.f, alpha.f)),
debug = getOption("oceDebug"),
...
)a landsat object.
If given, the name of the band. For Landsat-8 data, this may be
one of: "aerosol", "blue", "green", "red",
"nir", "swir1", "swir2", "panchromatic",
"cirrus", "tirs1", or "tirs2". For Landsat-7 data,
this may be one of "blue", "green", "red",
"nir", "swir1", "tirs1", "tirs2",
"swir2", or "panchromatic". For Landsat data prior to
Landsat-7, this may be one of "blue", "green",
"red", "nir", "swir1", "tirs1",
"tirs2", or "swir2". If band is not given, the
("tirs1") will be used if it exists in the object data, or
otherwise the first band will be used. In addition to the above, using
band="temperature" will plot an estimate of at-satellite
brightness temperature, computed from the tirs1 band, and
band="terralook" will plot a sort of natural color by combining
the red, green, blue and nir bands
according to the formula provided at
https://lta.cr.usgs.gov/terralook/what_is_terralook (a
website that worked once, but failed as of Feb 2, 2017).
Desired plot type; 1=image, 2=histogram.
An indication of the desired decimation,
passed to imagep() for image plots.
The default yields faster plotting. Some decimation is sensible for
full-size images, since no graphical displays can show 16 thousand pixels
on a side.
Either a pair of numbers giving the limits for the colorscale,
or "histogram" to have a flattened histogram (i.e. to maximally
increase contrast throughout the domain.) If not given, the 1 and 99
percent quantiles are calculated and used as limits.
A logical value indicating whether to use UTS (easting and northing) instead of longitude and latitude on plot.
Either a function yielding colors, taking a single integer
argument with the desired number of colors, or the string
"natural", which combines the information in the red,
green and blue bands and produces a natural-hue image. In
the latter case, the band designation is ignored, and the object must
contain the three color bands.
Indication of the type of palette to draw, if
any. See imagep() for details.
A logical indicating whether the band name is to plotted in the top margin, near the right-hand side.
Argument used if col="natural", to adjust colors
with adjustcolor().
Argument used if col="natural", to adjust colors with
adjustcolor(). Higher values of red.f cause red hues
to be emphasized (e.g. dry land).
Argument used if col="natural", to adjust colors with
adjustcolor(). Higher values of green.f emphasize
green hues (e.g. forests).
Argument used if band="terralook", to adjust colors with
adjustcolor(). Higher values of blue.f emphasize blue
hues (e.g. ocean).
Argument used if band="terralook", to adjust colors with
adjustcolor().
Argument used if band="terralook", to adjust colors
with adjustcolor().
Set to a positive value to get debugging information during processing.
optional arguments passed to plotting functions.
Dan Kelley
For Landsat-8 data, the band may be
one of: "aerosol", "blue", "green", "red",
"nir", "swir1", "swir2", "panchromatic",
"cirrus", "tirs1", or "tirs2".
For Landsat-7 data, band may be one of "blue", "green", "red",
"nir", "swir1", "tirs1", "tirs2",
"swir2", or "panchromatic".
For Landsat data prior to
Landsat-7, band may be one of "blue", "green",
"red", "nir", "swir1", "tirs1",
"tirs2", or "swir2".
If band is not given, the
("tirs1") will be used if it exists in the object data, or
otherwise the first band will be used.
In addition to the above there are also some pseudo-bands that can be plotted, as follows.
Setting band="temperature" will plot an estimate
of at-satellite brightness temperature, computed from the
tirs1 band.
Setting band="terralook" will plot a sort of natural
color by combining the red, green, blue and
nir bands according to the formula provided at
https://lta.cr.usgs.gov/terralook/what_is_terralook (a
website that worked once, but failed as of Feb 2, 2017), namely
that the red-band data are provided as the red
argument of the rgb() function, while
the green argument is computed as
2/3 of the green-band data plus 1/3 of the nir-band data, and
the blue argument is computed as 2/3 of the green-band
data minus 1/3 of the nir-band data. (This is not a typo: the
blue band is not used.)
Other things related to landsat data:
[[,landsat-method,
[[<-,landsat-method,
landsat,
landsat-class,
landsatAdd(),
landsatTrim(),
read.landsat(),
summary,landsat-method
Other functions that plot oce data:
download.amsr(),
plot,adp-method,
plot,adv-method,
plot,amsr-method,
plot,argo-method,
plot,bremen-method,
plot,cm-method,
plot,coastline-method,
plot,ctd-method,
plot,gps-method,
plot,ladp-method,
plot,lisst-method,
plot,lobo-method,
plot,met-method,
plot,odf-method,
plot,rsk-method,
plot,satellite-method,
plot,sealevel-method,
plot,section-method,
plot,tidem-method,
plot,topo-method,
plot,windrose-method,
plot,xbt-method,
plotProfile(),
plotScan(),
plotTS(),
tidem-class