Understanding how the environment has changed and predicting what will happen in the future is critical for studying climate change, urban sprawl, food security, and more. This session will describe how to use image cubes (aka multidimensional rasters) to manage time series imagery, visualize change with charts and voxels, calculate trends, identify pattens, predict future scenarios, and perform time series change detection. See how to use data such as netCDF and time series analysis ready data (ARD) to create and visualize multidimensional raster data and perform multidimensional analysis.