USGS Analysis Ready Data Python Examples
February 5, 2026
This product contains Jupyter Notebooks demonstrating how to retrieve, process, and analyze USGS analysis ready data (ARD) using Python. The purpose of these examples is to introduce novice Python users to real-life earth science data workflows. The examples include using the data retrieval package to pull NWIS data, pulling NOAA NOS CO-OPs water level data to visualize hurricane Helene and working with Landsat data.
Citation Information
| Publication Year | 2026 |
|---|---|
| Title | USGS Analysis Ready Data Python Examples |
| DOI | 10.5066/P1SWEEXX |
| Authors | Bojan Milinic, Marc A Hunter, Christopher R Sherwood |
| Product Type | Software Release |
| Record Source | USGS Asset Identifier Service (AIS) |
| USGS Organization | Upper Midwest Water Science Center - Madison, WI, Office |
| Rights | This work is marked with CC0 1.0 Universal |
Related
Marc Hunter
IT Specialist (Applications Software)
IT Specialist (Applications Software)
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Phone
Christopher Sherwood, PhD
Research Oceanographer
Research Oceanographer
Email
Phone
Related
Marc Hunter
IT Specialist (Applications Software)
IT Specialist (Applications Software)
Email
Phone
Christopher Sherwood, PhD
Research Oceanographer
Research Oceanographer
Email
Phone