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book/_config.yml

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title: Cloud-native geospatial datacube workflows with open-source tools
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author: Emma Marshall
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copyright: "2025" #, Emma Marshall
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#logo: logo.png
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collapse_inactive_sections: true

book/intro/1_getting_started.md

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A summary of the lessons learned throughout the tutorials and synthesis of these ideas into suggestions and best practices for developing scientific workflows analyzing n-dimensional earth observation data.
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## About this book
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## *About this book*
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These tutorials were initially developed while Emma Marshall interned with the Summer Internships in Parallel Computational Sciences ([SIParCS](https://www.cisl.ucar.edu/outreach/internships)) program at the National Center for Atmospheric Research ([NCAR](https://ncar.ucar.edu/)). Jessica Scheick, Scott Henderson, and Deepak Cherian were internship supervisors for this project. The internship was also supported by a NASA Open Source Tools, Frameworks, and Libraries program (Award 80NSSC22K0345), with a specific focus on developing educational resources for working with cloud-hosted data using Xarray. Tutorial development continued after the conclusion of the SIParCS internship when Emma Marshall returned to the University of Utah as a Ph.D. student, where she was supported by a FINESST Fellowship Grant (80NSSC22K1536).

book/sentinel1/nbs/2_wrangle_metadata.ipynb

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":::{attention} \n",
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"If you are following along on your own computer, be sure to specify two things:\n",
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"1. Set ``path_to_rtcs` to the location of the downloaded files on your own computer.\n",
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"1. Set `path_to_rtcs` to the location of the downloaded files on your own computer.\n",
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"2. Set `timeseries_type` to `'full'` or `'subset'` depending on if you are using the full time series (103 files) or the subset time series (5 files).\n",
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":::\n",
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"\n",

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