sits

sits is an open-source R/Python package designed for advanced satellite image time series analysis. This powerful tool provides a comprehensive framework for working with Earth observation data cubes, allowing users to leverage machine learning techniques for classifying and interpreting complex geospatial data.

The package offers full access to its functions in both R and Python, making it versatile for a wide range of users. It supports the selection of image collections from major cloud providers such as AWS and the Brazil Data Cube, streamlining the process of acquiring and preparing data for analysis.

With sits, users can perform tasks such as land-use and land-cover classification, monitor environmental changes, and analyze temporal patterns in satellite imagery. Its emphasis on data cubes and machine learning makes it a valuable resource for researchers and practitioners in remote sensing and earth observation.