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NASA Airborne Data Science Tutorials

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NASA airborne instruments, calibration methods, and research products result in an abundance of airborne and field data products that are archived in NASA Earthdata data collections. This site is a collection of the ORNL DAAC’s Data Tutorials relevant to NASA Airborne and Field Data Search, Discovery, Access, Visualization, and Analysis. Tutorials demonstate programmatic methods to access and analyze data in NASA Earthdata AWS leveraging the common metadata repository (CMR) API and Python Modules like earthaccess. Many of the Events are supported through NASA openscapes mentor associations and the openscapes mananged Jupyter Hub managed by 2i2c.

These Airborne and Field Campaigns utilize a wide range of remote sensing instruments that are flown on a variety of airborne platforms. Concurrent field collections during or near the time of airborne overpass inform the calibration, validation, and parameterization of remotely sensed datasets.

Many NASA Airborne and Field Campaigns are supported by the NASA Airborne Science Program whose primary objectives include

Instruments

Many NASA Airborne Science Program airborne remote sensing systems are part of a group of instruments whose data products are archived through the ORNL DAAC. These include dataset from:

In large part, the NASA AMES Research Center and Jet Propulsion Laboratory develop and manage the instruments and processing systems of the NASA Airborne Science Program.

Campaigns

NASA Funded Airborne and Field Campaign research scientists further process airborne data into higher level products relevant to the science objectives of the individual campaigns.

The result of these many actively developed airborne instruments, calibration methods, and research products are an abundance of airborne and field data products that are archived in NASA Earthdata data collections.

https://ornldaac.github.io/airborne

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