Retrieve a set of time series from a data cube and
and put the result in a "sits tibble", which
contains both the satellite image time series and their metadata.
The samples parameter must point to a file with extension ".csv",
with mandatory columns longitude, latitude, label,
start_date and end_date.
Usage
# S3 method for class 'csv'
sits_get_data(
cube,
samples,
...,
bands = NULL,
crs = "EPSG:4326",
impute_fn = impute_linear(),
multicores = 2L,
progress = FALSE
)Arguments
- cube
Data cube from where data is to be retrieved. (tibble of class "raster_cube").
- samples
Location of a csv file.
- ...
Specific parameters for each kind of input.
- bands
Bands to be retrieved - optional.
- crs
A character with the samples crs. Default is "EPSG:4326".
- impute_fn
Imputation function to remove NA.
- multicores
Number of threads to process the time series (integer, with min = 1 and max = 2048).
- progress
Logical: show progress bar?
Value
A tibble of class "sits" with set of time series and metadata with <longitude, latitude, start_date, end_date, label, time_series>.
Examples
if (sits_run_examples()) {
# reading a lat/long from a local cube
# create a cube from local files
data_dir <- system.file("extdata/raster/mod13q1", package = "sits")
raster_cube <- sits_cube(
source = "BDC",
collection = "MOD13Q1-6.1",
data_dir = data_dir
)
# reading samples from a cube based on a CSV file
csv_file <- system.file("extdata/samples/samples_sinop_crop.csv",
package = "sits"
)
points <- sits_get_data(cube = raster_cube, samples = csv_file)
}