Read a block of values retrived from a set of raster bricks
.sits_read_data(coverage, samples, ml_model, first_row, n_rows_block,
stats, filter, multicores)
Input raster coverage.
Tibble with samples.
Machine learning model.
First row to start reading.
Number of rows in the block.
Normalization parameters.
Smoothing filter to be applied.
Number of cores to process the time series.
A data.table with values for classification.