high_res_breakout_report_2.ppt -
Final Report (same as high_res_breakout_report.ppt)Contributed/Presented by: Woodcock
Woodcock
Presenter/Contributor: Woodcock (presenter/contributor) (Woodcock) Final Report (same as high_res_breakout_report.ppt) (.ppt)
– submitted by Curtis Woodcock at 2008-05-19 09:04:26 Breakout Reports & Presentations:
high_res_breakout_report.ppt -
Breakout Discussion Summary - High Resolution (Breakout Session II Number 4Contributed/Presented by: Woodcock
Woodcock
Presenter/Contributor: Woodcock (presenter/contributor) (Woodcock) Breakout Discussion Summary - High Resolution (Breakout Session II Number 4 (.ppt)
Kasischke_suggestion.doc -
suggestionContributed/Presented by: Kasischke
Kasischke
Presenter/Contributor: Kasischke (presenter/contributor) (Kasischke) suggestion (.doc)
– submitted by Eric Kasischke at 2008-04-28 17:44:24
How is NASA ensuring that the science requirements are included in the design of the NLI ?
NASA's engineering expertize will be needed to take us into the next generation of Landsat class observations to meet FA science needs for example through a constellation of small sats delivering 3 day global observations at 10-30m - What is the forum for the NASA science to discuss such concepts ? – submitted by Chris Justice at 2008-05-01 19:06:55
To understand the complexity and dynamics of natural and anthropogenicly modified systems the science community needs access to consistent systematic and continuous data records and products that support the understanding of earth system science.
Landsat with its continuous global high resolution data over the last 35 years has been used and has the potential capability of achieving unprecedented understanding from its unique long term consistent observations.
Research possibilities that open up with the data fusion with other senors is very exciting. This summer I had the great opportunity to use Sam Goward’s 30 year forest disturbance history record for sample areas in the US in combination with vegetation height derived from ICESat GLAS data to study forest disturbance and recovery within the US. The fine scale landscape variability captured over such a large domain for over 30 years gave a unique perspective nearly impossible to gain anywhere else. – submitted by Katelyn Dolan at 2008-04-30 15:36:35
