Related work & ecosystem

CubeDynamics builds on a broad ecosystem of Earth system data cube initiatives. We focus on a grammar of analysis—pipe(cube) | verbs—while interoperating with storage and visualization tools.

Earth System Data Cubes

Projects such as the Earth System Data Cube (ESDC), DeepESDL, and xcube popularized the idea of spatiotemporal grids stored as xarray datasets for analysis and AI. CubeDynamics aligns with this paradigm but keeps cubes local and analysis-ready so you can request any AOI/time range without waiting for global precomputes.

Open Data Cube & stackstac/odc-stac/cubo

Open Data Cube and its STAC-focused companions (stackstac, odc-stac, cubo) provide scalable ingestion pipelines for satellite imagery. CubeDynamics happily consumes cubes produced by these systems—once the data are in xarray, the same pipe(cube) | verbs grammar applies. Use cubo.create or odc-stac notebooks to assemble Sentinel-2/landsat cubes, then bring them into CubeDynamics for anomaly detection.

Lexcube

Lexcube offers interactive 3D visualization for (time, y, x) arrays. CubeDynamics exposes a v.show_cube_lexcube verb and helper functions so every analysis can surface an exploratory widget mid-pipeline. The docs use placeholder screenshots while the static site hosts instructions for running live notebooks.

Ecosystem summary

CubeDynamics builds on the Earth System Data Cube paradigm: spatiotemporal grids stored as xarray cubes for analysis and AI. It differs from frameworks like Open Data Cube or Earth System Data Lab by focusing on a grammar of analysis (pipe + verbs) rather than on data storage or infrastructure. We treat any xarray cube—whether it comes from PRISM, gridMET, Sentinel-2 via Cubo, or ESDC—as a first-class citizen in the same pipe(cube) | verbs interface.

Future updates will add explicit citations and links once the corresponding publications are finalized.