Carbon Cycle

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Carbon Cycle Ecosystems Joint Biodiversity,
Terrestrial Ecology, and Applied Sciences
Workshop, August 2006 Technology Breakout
SessionBREAKOUT 1, MONDAY AUG, 21st SUMMARY
Initial Questions Technology Chairs Josef
Kellndorfer, Mark Chopping Rapporteur Paul
Siqueira What are the most pressing science
questions/issues for Terrestrial Ecology,
Biodiversity, and Applied Sciences that can be
addressed through technology development? For
which potential missions related to Terrestrial
Ecology, Biodiversity, and Applied Sciences is
technology development the limiting step? What
types of technology investments are needed?
How far do current NASA investments go toward
meeting these needs? How can we improve
interactions and collaborations with NASA's
technology programs and participants?
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Summary
Science Theme -gt Ecosystem function/ Physiology Vegetation 3-D Structure/Biomass Carbon Budget/ Active CO2 Coastal Ocean Carbon
Ready for Space Deployment Hyperspectral imager at 60 m resolution Lidar/P-band polarimetric SAR to capture biomass ranges in boreal and temperate biomes disturbance globally Moderate resolution Hyperspectral imager from GEO
Ready for Suborbital Demon- strations DONE with AVIRIS Optimal Lidar/SAR sensor suite for the tropics Lidar single-pass/dual frequency L-Band multi-baseline L-Band and/or P-band polarimetric interferometry L-band and /or P-band repeat-pass interferometry Optimal MISR configuration DIAL Laser, 1.2 micron laser
Emerging Technologies Lower mass Detector arrays MISR Mixed layer depth Measurements using lasers
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In-situ

• Develop in-situ technologies for more efficient
  and accurate collection of biophysical parameters
  which are needed to calibrate the remotely sensed
  measurements, e.g. allometric equation
  development for biomass,
• e.g., ground-based canopy lidar (ECHIDNA)
• collaboration/coordination with NSF/NEON
• Could be an IIP topic

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Lidar Research

• Continue investment in lidar risk reduction to
  ensure reliability for mission lifetime (3-5 year
  timeframe)
• Develop and test dual/multi-wavelength lidar
  technology, e.g., to separate biomass/structural
  components in vegetation??

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Data Reduction

• Invest in algorithm development that produce
  relevant biophysical products from hyperspectral
  data in a timely manner (avoid data backlogs)
• Could be part of an AIST call

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Topics missing?