Data Science
Sciences and Exploration Directorate - NASA's Goddard Space Flight Center

Innovation Lab Use Case

EIS Fire - Interactive data visualization

Fire related activities are visualized through Jupyter notebooks utilizing data stored on Amazon S3 buckets, as well as EC2 node clusters along with DaskHub services for JupyterHub.

The interactive dashboard displays raster data in an interactive time series format. This raster data may be clipped to individual states via user-controls. In addition, the dashboard displays various time-series of user-given data products. These time-series are averaged over individual state polygons. 

EIS Fire point selected screen shot EIS Fire time series screen shot

All TROPOMI data is unfiltered L2 gridded data.