CLIM: Transition Workshop - Introduction to Remote Sensing Working Group - Amy Braverman, May 14, 2018
1. Remote Sensing Working Group:
Summary of Goals, Progress, and Future Activities
Amy Braverman
Jet Propulsion Laboratory, California Institute of Technology
May 14, 2018
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2. Outline
From where did we start? A (very) short review of the Opening Workshop
talks last fall.
Goals of the Remote Sensing Working Group
Subgroups
Mid-year workshop
Future activities
Technical talks by sub-group leads
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3. Last fall
Noel’s talk: broad overview of the role of statistical principles in remote
sensing
Dan’s talk: NASA’s remote sensing data processing and distribution
infrastructure
Matthias’ talk: framework for spatial statistics suitable for massive and
distributed data
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4. Goals
How do we connect these concepts in a way that is specific enough to
suggest tangible research to pursue?
Big constraint: can’t move (all) data
Points to a need to flexibly trade-off inferential quality against cost
(computational and transportation, etc.)
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5. Remote Sensing Working Group subgroups
Spatial Retrievals
Spatial “X" (Lead: Jon Hobbs and Matthias Katzfuss)
Spatial “Y" (Lead: Zhengyan Zhu)
Optimization (Lead: Jessica Matthews)
Emulators (Lead: Emily Kang)
Theory of Data Systems (ToDS; lead: Amy Braverman)
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6. Mid-program workshop
Remote Sensing, Uncertainty Quantification, and a Theory of Data Systems:
At Caltech, February 12 – 14, 2018
Co-sponsored by JPL and Caltech
About 50 attendees (about 20 from SAMSI, 2 international/other, 1 NASA
(ESTO), 2 NOAA, rest from JPL and Caltech)
Goal: how to bring modern spatial statistical methodology to bear on
massive distributed remote sensing data sets? Requires a quantitative
framework for balancing uncertainty against costs.
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7. Future activities
All subgroups intend to continue meeting past the end of the program.
(Sub-group leads will discuss technical objectives.)
OCO-2 and OCO-3 missions to provide support for some continuing
research related to Spatial “X".
NASA ESTO has commissioned a study ($100K award): Spatial Data
Analysis Systems of Opportunity to follow-up on the workshop at Caltech.
Maggie Johnson coming to JPL for her second post-doc year. (Many
thanks to Bill Tolone (UNCC), George Djorgovski (Caltech), and Dan
Crichton (JPL).
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8. Technical talks
Jon Hobbs (Spatial “X")
Zhengyuan Zhu (Spatial “Y")
Jessica Matthews (Optimization)
Emily Kang (Emulators)
Maggie Johnson (ToDS)
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