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SlideRule

Authors: Shean, David; Swinski, J.P.; Ugarte, Carlos; Lidwa, Eric; Smith, Ben; Sutterley, Tyler; Henderson, Scott; +1 Authors
Abstract

SlideRule is an open source server-side framework for on-demand processing of science data in the cloud. The SlideRule project offers a new paradigm for NASA archival data management – rapid delivery of customizable on-demand data products, rather than hosting large volumes of standard derivative products, which will inevitably be insufficient for some science applications. The scalable server-side components of SlideRule run in the AWS cloud with optimized functions to read HDF5 data hosted by NASA in S3 cloud object storage. While SlideRule can be accessed by any HTTP client (e.g., curl) through GET and POST requests, the sliderule-python client provides a user-friendly API for synchronous interaction with the SlideRule service. The client library returns standard Python data containers (i.e., Pandas DataFrame) and facilitates serialization with provenance metadata for reproducible science. SlideRule uses a plugin framework to support different NASA missions and data products. The ICESat-2 SlideRule plugin offers customizable algorithms to process the archive of low-level data products from the NASA Ice Cloud and land Elevation Satellite-2 (ICESat-2) laser altimetry mission. The user defines a geographic area of interest and key processing parameters via an interactive web interface or the API, and SlideRule returns high-level surface elevation point cloud products in seconds to minutes, enabling rapid algorithm development, visualization and scientific interpretation.

If you use the SlideRule service, software, and/or data products for scientific research resulting in a publication or other outlet, please cite using the metadata from this file. For academic research publications, please cite the JOSS paper: https://doi.org/10.21105/joss.04982 Shean, D., Swinski, J.P., Smith, B., Sutterley, T., Henderson, S., Ugarte, C., Lidwa, E., and T. Neumann (2023). SlideRule: Enabling rapid, scalable, open science for the NASA ICESat-2 mission and beyond. Journal of Open Source Software, 8(81), 4982, doi:10.21105/joss.04982. and the Zenodo DOI for the X.Y.Z version of SlideRule used to prepare your data products: https://doi.org/10.5281/zenodo.4660020

Keywords

Topography, Laser altimetry, Earth data, ICESat-2, GEDI

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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