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A Re-examination of SRTM coherence data for estimating forest structure
Bruce
Chapman, JPL, bruce.d.chapman@nasa.gov
(Presenter)
Paul
Robert
Siqueira, University of Massachusetts, siqueira@ecs.umass.edu
Scott
Hensley, JPL, scott.hensley@jpl.nasa.gov
Robert
Neil
Treuhaft, JPL, California Institute of Technology, robert.treuhaft@jpl.nasa.gov
Marc
Simard, Caltech/Jet Propulsion Laboratory, marc.simard@jpl.nasa.gov
In the year 2000, NASA flew a C-band interferometric SAR mission on the Space Shuttle Endeavour called the NASA Shuttle Radar Topography Mission (SRTM). The objective of this 10 day mission was to measure the topography of the Earth between latitudes of ±60 degrees. The Digital Elevation Model (DEM) obtained by processing the collected interferometric SAR data has been made freely available by NASA for many uses.
During SRTM InSAR processing, the interferometric correlation was determined in order to facilitate various parts of the interferometric processing and was used to generate a height error layer. SRTM interferometric correlation is basically a product of 3 terms, SNR, geometric and volumetric correlation. Only the volumetric component contains geophysically desired vertical structure information. Thus, in order to have this geophysically useful product, the measured correlation must be corrected, primarily for SNR correlation contributions.
An effort, funded by the NASA Terrestrial Ecology program, is underway to determine methods for correction of some of these systematic effects, with the goal of demonstrating a correlation product that is useful for vegetation structure estimation. The SRTM data set could then potentially be used to derive estimates of year 2000 forest structure for a large part of the Earth’s land surface.
Presentation Type: Poster
Session: Poster Session 1-A
(Tue 11:00 AM)
Associated Project(s):
Poster Location ID: 22
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