dot-sits_timeline_class_info: Define the information required for classifying time series
In e-sensing/sits.data: Satellite Image Time Series Data Handling

Description Usage Arguments Value Author(s)

Time series classification requires a series of steps: (a) Provide labelled samples that will be used as training data. (b) Provide information on how the classification will be performed, including data timeline, temporal interval, and start and end dates per interval. (c) Clean the training data to ensure it meets the specifications of the classification info. (d) Use the clean data to train a machine learning classifier. (e) Classify non-labelled data sets.

This function provides support for step (b). It requires the user to provide a timeline, the classification interval, and the start and end dates of the reference period. The results is a tibble with information that allows the user to perform steps (c) to (e).

1	.sits_timeline_class_info(cube, samples, interval)

`cube`	Description on the data cube being classified.
`samples`	Samples used for training the classification model.
`interval`	Interval between two sucessive classifications.