Welcome to sits’s documentation!
sits is a high-level Python package designed to simplify the extraction and processing of Satellite Image Time Series (SITS) referenced in STAC catalogs. For any given point or polygon, it efficiently handles data retrieval and, leveraging spyndex, can calculate a wide array of spectral indices. The processed results can be exported in various formats, including image files, CSV tables, or dynamic animated GIFs, with customizable dimensions suitable for applications such as deep learning.
In addition to its core functionalities, the package includes an experimental analysis module that integrates forecasting methods from the sktime library. This module enables users to apply time series models to satellite-derived data, opening possibilities for predictive analytics and temporal pattern exploration.