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KaRIn can restitute absolute height with auxiliary data : absolute height reference with accuracy within ± E a /2 (E a : altitude of ambiguity, ranging from 10 to 60 m )
Ocean (LR mode): mean sea surface and tide models, or nadir altimeter measurements
Hydrology (HR mode): DEM (SRTM or better)
Phase unwrapping on a pixel-by-pixel basis implies tropospheric correction throughout the swath.
Alternative solution: Phase unwrapping from reference points (e.g. DEM, similar to conventional SAR interferometry) tropospheric correction should no longer be necessary (current baseline for HR processing).
IGARSS 2010, Honolulu, Hawaii, 25-30 July 2010 Measurement principle
Unfocussed SAR processing IGARSS 2010, Honolulu, Hawaii, 25-30 July 2010 Reference: Full SAR processing + multilooking to ~ 100 m resolution (Simulated SAR image based on DEM) Unfocussed processing (LR mode) ~100 m resolution + multilooking (Barely visible degradation) Unfocussed processing (burst mode) (Clearly visible loss of details) Processing
Unfocussed SAR processing Assessment of impact on interferograms IGARSS 2010, Honolulu, Hawaii, 25-30 July 2010 Full SAR processing (reference) Unfocussed processing (LR mode) After further multilooking to the 1 km 2 grid, the loss in height precision w.r.t. full SAR processing is about 1 mm (not yet optimized). Unfocussed processing (burst mode) Processing
Radiometric simulator: Simulation of RCS for different surface types in various conditions (sensitivity studies, case studies)
Bare soil [Hybrid IEM-GO + Hallikainen/Dobson]
Water surfaces [Hybrid IEM-GO + Meissner/Wentz]
Vegetation (trees) [Rad. transf.+ Ulaby/El-Rayes]
Integrates results of radiometric simulator
Geometric effects such as layover, shadow etc.
Simulation of interferometric pairs of SLC images
IGARSS 2010, Honolulu, Hawaii, 25-30 July 2010 SAR images Coherence Interferogram DEM Land cover classes EM models Orbit file Layover/ shadow mask Studies of detection of water surfaces, absolute height restitution, … Simulation a r
IGARSS 2010, Honolulu, Hawaii, 25-30 July 2010 Simulation of raw images Simulation Δ T = t 0 – t -1 = t +1 – t o = 1 / PRF -> V t -1 t o t +1 RCS t-1 RCS to RCS t+1 Stacking of all “raw images” indexed by time Focussing Final RAW image level 1 data Study impact of moving water