sits (version 1.5.3)

sits_get_data.csv: Get time series using CSV files

Description

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 csv
sits_get_data(
  cube,
  samples,
  ...,
  bands = NULL,
  crs = "EPSG:4326",
  impute_fn = impute_linear(),
  multicores = 2L,
  progress = FALSE
)

Value

A tibble of class "sits" with set of time series and metadata with <longitude, latitude, start_date, end_date, label, time_series>.

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?

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)
}