Open-Earth-Monitor Global Workshop 2025

The SITS package (Satellite Image Time Series) is designed for the analysis and classification of satellite image time series using machine learning. It provides a comprehensive framework for managing, modelling, and classifying time series data derived from remote sensing imagery. In version 1.5.3, SITS supports both R and Python APIs and has included support for CDSE and OGH cloud providers. SITS supports large-scale operational analysis on data cubes, and has state-of-the-art functions for deep learning, post-processing, uncertainty estimation, and texture measures. It allows the merging of Sentinel-1 and Sentinel-2 data, as well as Landsat data with Sentinel-2, and enables the inclusion of DEM and climate data as additional bands.