SciPy 2024

Samapriya Roy

A Google Developer Expert for Google Earth Engine and Senior Product Manager at MAXAR, I lead Developer Relations and champion open data access apart from working on core APIs and infrastructure. I leverage geospatial expertise as an affiliate Faculty at the University of Hawaiʻi at Mānoa and I am a Designated Campus Colleague at the University of Arizona. Passionate about community building, I created the "Awesome Google Earth Engine Community Catalog," a thriving data commons. My research explores big data analysis and geospatial applications, while I advocate for science communication and empower researchers through collaborative platforms and speaking engagements.


Session

07-12
10:45
30min
Bridging the gap between Earth Engine and the Scientific Python Ecosystem
Samapriya Roy, Qiusheng Wu, Justin Braaten

Google Earth Engine's new data extraction interfaces seamlessly transfer geospatial data into familiar Python formats provided by NumPy, Pandas, GeoPandas, and Xarray. This integration empowers you to harness Earth Engine's vast data catalog and compute power directly within your preferred Python workflows. For example, the Xee library leverages Xarray's lazy evaluation and Dask to streamline the extraction and analysis of Earth Engine data, offering a more Pythonic alternative to traditional image exports. Earth Engine's new data extraction interfaces unlock fresh geospatial analysis potential by leveraging the unique strengths of both the scientific Python ecosystem and Earth Engine.

Earth, Ocean, Geo, and Atmospheric Science
Room 316