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An examination of the SRTM correlation data for vegetation structure estimation
Bruce
Chapman, JPL, bruce.d.chapman@nasa.gov
(Presenter)
The Shuttle Radar Topography Mission (SRTM) flew for 10 days on the space shuttle in February 2000, and successfully accomplished a remarkable feat: it acquired Synthetic Aperture Radar (SAR) imagery that was used to produce a near-global, high-accuracy 30 meter pixel-spacing topographic map of the Earth. It was able to do this because SRTM operated as a single-pass interferometer: one C-band SAR was in the cargo bay of the Shuttle; while 60 meters away, attached to a retractable mast, was another C-band antenna that could receive SAR imagery as well. During InSAR processing, the interferometric correlation may be determined. Several previous studies have shown that this correlation should have a well-defined relationship to vegetation structure. Unfortunately, when the SRTM data were initially processed, systematic artifacts impacted the correlation product and it was never widely distributed. We are re-visiting the processing of the SRTM data, with the goal of producing a correlation product that is useful for vegetation structure estimation. The first step is characterization of the systematic artifacts, and developing strategies to overcome them. One mitigation strategy is to exclude data from processing that is likely responsible for the systematic artifacts. While this will result in some gaps in coverage, SRTM’s crossing data paths will fill some of these gaps. This paper was partially written at the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. Presentation Type: Poster Session: Other (Tue 11:30 AM) Associated Project(s):
Poster Location ID: 141
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