Earth observation imagery have traditionally been expensive, difficult to find and access,and required specialized skills and software to transform imagery into actionable information.This has limited adoption by the broader science community. Changes in cost of imagery and changesin computing technology over the last decade have enabled a new approach for how to organize,analyze, and share Earth observation imagery, broadly referred to as a data cube. The vision andpromise of image data cubes is to lower these hurdles and expand the user community by makinganalysis ready data readily accessible and providing modern approaches to more easily analyze andvisualize the data, empowering a larger community of users to improve their knowledge of place andmake better informed decisions. Image data cubes are large collections of temporal, multivariatedatasets typically consisting of analysis ready multispectral Earth observation data. Several flavorsand variations of data cubes have emerged. To simplify access for end users we developed a flexibleapproach supporting multiple data cube styles, referencing images in their existing structure andstorage location, enabling fast access, visualization, and analysis from a wide variety of web anddesktop applications. We provide here an overview of that approach and three case studies.
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