HR: 09:15h
AN: G41D-06    [Abstracts]
TI: An exotic exploration of ENVISAT and ERS data continuity: 30-minute repeat pass InSAR over Southern Louisiana
AU: Kwoun, O
EM: okwoun@usgs.gov
AF: SAIC, USGS EROS, 47914 252 Street, Sioux Falls, SD 57198 United States
AU: * Lu, Z
EM: lu@usgs.gov
AF: SAIC, USGS EROS, 47914 252 Street, Sioux Falls, SD 57198 United States
AB: Using ENVISAT and ERS-2 SAR images, we developed a cross-platform InSAR (CPInSAR) processing technique to generate InSAR images with a temporal separation of 30-minutes. We applied CPInSAR to Southern Louisiana area to estimate the DEM of coastal flood plain that encompasses swamp forests and agriculture fields. The short temporal separation (30 minutes) between ENVISAT and ERS-2 images minimizes the loss of coherence over vegetated terrains and reduces atmospheric effects in general. The large spatial separation between two sensors (~ 2 km) makes CPInSAR phase signal much more sensitive to surface topography, resulting a CPInSAR-derived DEM with a vertical accuracy of about 10-20 cm. The CPInSAR DEM is compared with DEMs from other sources, such as ERS-1/ERS-2 1-day tandem InSAR, SRTM, and LIDAR DEMs over the study site. The correlation between the CPInSAR coherence and the land cover type from LANDSAT-7 images and the vegetation structure derived from LIDAR data is investigated. In addition, CPInSAR coherence is compared with the ERS, ENVISAT InSAR coherence images at different temporal intervals (e.g., 1-day, 35-day, 1-year, etc). We conclude that CPInSAR presents a unique capability to map surface height with high vertical accuracy over coastal flood zone and that the coherence images with different temporal baselines provide better estimate on land cover classification.
UR: http://edc.usgs.gov/Geo_Apps/
DE: 1855 Remote sensing (1640)
DE: 6924 Interferometry (1207, 1209, 1242)
DE: 6969 Remote sensing
SC: Geodesy [G]
MN: Fall Meeting 2005