IN031-0003
Exploring the advantages of cloud native, easily consumable, scalable formats for downstream scientific exploitation of point cloud data.
Abstract:
A sample set of ICESat-2 ATL06 source data over the Ross Ice Shelf was collected directly from the National Snow and Ice Data Center. Each file was sorted by orbital cycle as a proxy for temporal indexing, then each cycle was processed into a EPT dataset. The resultant datasets were then uploaded into individual S3 buckets, thus establishing distinct EPT endpoints for consumption into a variety of unmodified scientific applications.
An overall reduction in total wire time was noted in correlation with a reduction in file size of roughly 90%. As EPT is optimized based on spatial indexing, additional wire/processing time efficiencies are possible when requesting a spatial subset. Lastly, independent access to each orbital cycle, allows for end users to perform calculations across temporal frames.
The results of the small scale transformation of the ICESat-2 ATL06 product show promising efficiency and accessibility gains; future work for large scale implementations could yield additional progress in increasing consumability, and ultimately further facilitate scientific exploitation.