Earthmover
2 Case Studies
A Earthmover Case Study
The University of Wisconsin-Madison's ALIVE research team faced challenges processing geospatial raster data in formats like NetCDF and GeoTIFF, which were not conducive for their time-series analysis of satellite data to estimate carbon and water fluctuations. They turned to Earthmover and its product Arraylake to solve their data management problem.
Earthmover's Arraylake provided a solution based on the Zarr data model, which included ACID transactions and version control. This allowed the remote team to experiment freely, revert changes after errors, and collaborate seamlessly on their data. The ALIVE team reported that Earthmover made their data more accessible and their workflows more logical, calling it the essential component that made their project more real, tractable, dynamic, and ultimately useful.
Paul Stoy
Lead