Being able to analyze past changes and predict future changes is critical to the study of climate change, urban sprawl, food security, and more. Join us to learn how to use image cubes or multidimensional rasters to manage time series imagery, visualize change with charts and voxels, calculate trends, identify patterns, predict future scenarios, and perform time series change detection. See how to use data, such as network Common Data Form (netCDF) and time series analysis-ready data (ARD), to create and visualize multidimensional raster data and perform multidimensional analysis.