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Spectral Sessions 2022

 

Spectral Sessions was a virtual event focused around the trends, benefits and applications of spectral data and analysis. Attendees gained insights from spectral experts across industries, government and academia and heard about what the future of spectral data looks like from their perspectives.

 

 
 

RECORDED PRESENTATIONS

 

Beyond the Edge: The Future of Space-Based Data Analysis

Dr. Jamie Goodman, HySpeed Computing


Never before have the 5 V’s of big data – volume, value, variety, velocity and veracity – been as applicable to Earth Observation as they are today. Consider not just the widespread growth in multi-satellite constellations and the greater variety of sensor modalities, but also the ongoing increases in temporal, spatial, and spectral resolution. (Read more)

 

Beyond the Edge: The Future of Space-Based Data Analysis

Dr. James Goodman, HySpeed Computing
 

Abstract

Never before have the 5 V’s of big data – volume, value, variety, velocity and veracity – been as applicable to Earth Observation as they are today. Consider not just the widespread growth in multi-satellite constellations and the greater variety of sensor modalities, but also the ongoing increases in temporal, spatial, and spectral resolution. And with the industry continuing to expand, never before has the demand for efficiently delivering analysis and insights from this data been greater.

To meet these needs, data providers and analysts alike are now embracing a robust ecosystem of highspeed data downlinks, cloud and edge computing solutions, and applications driven by artificial intelligence. At the same time, capabilities are also rapidly evolving in the domain of onboard computing and space-based data analysis.

By locating increasingly powerful compute resources and software algorithms adjacent to the data, greater amounts of analysis can now be performed at the source, which is enabling new opportunities for on-orbit analytics, advanced data compression, prioritization of high-value data for download, direct downlink of derived products, automated tasking, and systematized multi-sensor tipping and cueing. Together, these various advances are not just expanding the scale and diversity of feasible applications, but also serving to significantly decrease latency and increase the cadence of information delivery, thereby driving even further innovation throughout the geospatial industry.

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Partnering for Success: Using Spaceborne Imaging Spectroscopy to Drive Actionable Change on Earth

Dr. Keely Roth, Planet Labs/IEEE GRSS


Optical imaging spectroscopy is well-suited for an incredibly wide range of atmospheric, land, and ocean Earth observation applications. Historically, this technology has only been available on a limited number of spaceborne systems. (Read More)

 

Partnering for Success: Using Spaceborne Imaging Spectroscopy to Drive Actionable Change on Earth

Dr. Keely Roth, Planet Labs/IEEE GRSS
 

Abstract

Optical imaging spectroscopy is well-suited for an incredibly wide range of atmospheric, land, and ocean Earth observation applications. Historically, this technology has only been available on a limited number of spaceborne systems. The Carbon Mapper mission, a low Earth orbit hyperspectral constellation set to launch its first two imaging spectrometers in 2023, is being developed through a strong public-private partnership among several collaborators, including Carbon Mapper, Planet, NASA Jet Propulsion Laboratory (JPL), Arizona State University, the University of Arizona, the High Tide Foundation, California Air Resources Board, and the Rocky Mountain Institute. The mission will build a tasking constellation capable of tracking 90% of high emitting CH4 and CO2 point sources at facility scale globally, while also enabling a suite of high precision land and ocean data products.

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Art, Cultural and Historical Applications for Spectral Data

Dr. John Delaney, National Gallery of Art
Dr. Roger Easton, Rochester Institute of Technology
Dr. Fenella France, Library of Congress
Dr. Francesca Gabrieli, Rijksmuseum


This unique panel was a crowd favorite, featuring industry experts discussing their work using spectral data to research, preserve and restore historical artwork and cultural items.

 

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Earth, Wind and Fire: Environmental and Climate-Related Applications for Spectral Data

Krista West, Solis Applied Science
Amy DeCastro, NCAR
Dr. Tao Liu, ASPRS
Dr. Dan Sousa, San Diego State University
Dr. Richard (Chris) Olsen, Naval Postgraduate School


This panel featured industry experts discussing their work using spectral data for climate and environmental applications.

 

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New Spectral Technology & Missions Panel Discussion

Dr. Lori Wickert, Descartes Labs
Dr. Kerry Cawse-Nicholson, Jet Propulsion Laboratory
Dr. Francesco Longo, Italian Space Agency
Godela Rossner, German Aerospace Center (DLR)


This panel featured industry experts discussing their work on recent missions and what they see in the future for spectral data technology and its supporting missions.

 

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Monitoring Methane Point Sources with Commercial and Civil Satellite Imagery Data

Dr. Daniel Yeager, Department of Defense


In this presentation, Dr. Daniel Yeager shared his work using spectral data to track methane emissions.

 

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Data Fusion: When and How Is It Useful?

Megan Gallagher, L3Harris Geospatial


Data fusion is the idea of combining different sources of data seamlessly to improve processing. This can be data from multiple resolutions and the same type of sensor, or even data from disparate sensor models to add in additional information. This breakout session goes examples of data fusion, if you should use it, and best practices.

 

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Widening the Spectral Processing Aperture with ENVI and Open Source Tools

Austin Coates, L3Harris Geospatial


The remote sensing field is evolving and expanding at a rapid pace. While we frequently hear about new remote sensing techniques and methodologies, they are challenging to apply without direct access to the tools for which they were originally designed. This breakout session shows you how to bring those bleeding-edge tools into ENVI, making it easy to access the latest algorithms and techniques and apply them using a familiar interface.

 

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