Understanding our changing planet and predicting phenomena into the future are critical for studying climate change, urban sprawl, deforestation, and more. Learn how to use image cubes (aka multidimensional rasters) to manage time series imagery, visualize change with charts and voxels, model trends, predict future scenarios, identify spatial and temporal patterns, and perform time series change detection. See how to use data such as netCDF, Zarr, and Landsat analysis ready data (ARD) to perform multidimensional analysis by leveraging harmonic regression, PCA, machine learning, and more.