Description Usage Arguments Value Author(s) See Also
View source: R/par_stack_season_dates.R
Estimate and stack the beginning and end of growing seasons using parallel processing.
1 2 3 4 5 6 7 8 9 10 11 | par_stack_season_dates(
x,
type = "v_points",
n_criticals = 1,
steps = 2,
ts_freq = 23,
returned = c("ts_seasonal", "original"),
valid_range = NULL,
filename = "",
...
)
|
x |
A Raster |
type |
character string. either |
n_criticals |
Numeric. The number of points to be considered. Default to 1. |
steps |
Integer. The minimum number of points at either sides of each v-like point to be considered higher for it to qualify as v-like point. Default to 3 |
ts_freq |
The frequence of time series (see frequency argument in |
returned |
character string either |
valid_range |
A numeric vector of lenght 2. Data cleaning parameter specifying the validity domain of the input data are valid. Values outside this range are set NA before any processing. In the case of normalized difference indices (e.g. NDVI, SAVI) for example, one should set these values to be between. |
filename |
Output filename |
... |
Additional arguments:
You can use options=c("PROFILE=BASELINE") to create a plain tif with no GeoTIFF tags. This can be useful when writing files to be read by applications intolerant of unrecognised tags. (see http://www.gdal.org/frmt_gtiff.html) NetCDF files have the following additional, optional, arguments:
|
A stack
object of biginning and end dates of the season for each pixel.
Issoufou Liman
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.