Justin Braaten
Justin is a developer relations engineer supporting the Google Earth Engine project. Justin has a background in satellite image data processing for ecological applications and a passion for educating and inspiring people to use geospatial technologies to tackle environmental challenges.
Sessions
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.
The Google Earth Engine (GEE) Community Catalog is a geospatial data catalog with user-contributed geospatial datasets, which are processed by the maintainers and then made available for the larger geospatial community to use. This talk delves into the origins of the catalog, exploring its capabilities and showcasing its impact on various scientific and environmental applications. We will explore some of the datasets available, covering topics like land cover change and forest health using the ipyleaflet based geemap package and the Earth Engine Code Editor. We will also highlight why contributing to the catalog fosters a spirit of open collaboration and knowledge sharing.