NASA OPERA

Introduction¶

NASA’s Observational Products for End-Users from Remote Sensing Analysis (OPERA) project, established at the Jet Propulsion Laboratory (JPL) in 2020, delivers satellite-derived data products that address the operational and scientific priorities identified by the Satellite Needs Working Group (SNWG). OPERA products span surface water dynamics, land surface disturbance, geodetic deformation, and vertical land motion, and include DSWx, DIST, DISP, CSLC, and RTC.

This site documents a collaboration between the University of Tennessee and NASA JPL, led by Dr. Qiusheng Wu, that advances OPERA product accessibility and AI-enabled applications through open-source geospatial frameworks. The work integrates OPERA products into tools such as Leafmap, AnyMap, and MapLibre GL JS, delivers a dedicated NASA OPERA QGIS plugin for no-code and low-code access, and extends the GeoAI Python package with native OPERA support for machine learning and deep learning workflows.

What you’ll find here¶

• Data Products - reference pages for DSWx, DIST, DISP-S1, CSLC-S1, and RTC-S1.

• Notebook Examples - reproducible Python workflows for each product.

• Web Apps - interactive, cloud-native demonstrations.

• QGIS Plugins - the NASA OPERA plugin alongside Leafmap and Google Earth Engine plugins.

• Videos & Workshops - tutorials and training resources for OPERA users.

• Blog & Contact - project updates and stakeholder engagement channels.

Acknowledgments

This project is supported by NASA Jet Propulsion Laboratory (JPL).