Provided by: gmtsar-core_6.5+ds-2build1_amd64 
NAME
sbas - sbas
DESCRIPTION
This program is part of GMTSAR.
USAGE: sbas intf.tab scene.tab N S xdim ydim [-atm ni] [-smooth sf] [-wavelength wl] [-incidence
inc] [-range -rng] [-rms] [-dem]
input:
intf.tab
-- list of unwrapped (filtered) interferograms:
format:
unwrap.grd corr.grd ref_id rep_id B_perp
scene.tab
-- list of the SAR scenes in chronological order
format:
scene_id number_of_days
note: the number_of_days is relative to a reference date
N -- number of the interferograms
S -- number of the SAR scenes
xdim and ydim
-- dimension of the interferograms
-smooth sf --
smoothing factors, default=0
-atm ni --
number of iterations for atmospheric correction, default=0(skip atm correction)
-wavelength wl --
wavelength of the radar wave (m) default=0.236
-incidence theta --
incidence angle of the radar wave (degree) default=37
-range rng --
range distance from the radar to the center of the interferogram (m) default=866000
-rms --
output velocity uncertainty grids (mm/yr): rms.grd
-dem --
output DEM error (m): dem_err.grd
-mmap --
use mmap to allocate disk space for less use of memory
-robust --
only work with -atm turnned on, estimate velocity with records that has atm correction
output:
disp_##.grd
-- cumulative displacement time series (mm) grids
vel.grd
-- linear regressed velocity (mm/yr) grids
example:
sbas intf.tab scene.tab 88 28 700 1000
REFERENCES: Berardino P., G. Fornaro, R. Lanari, and E. Sansosti, ???A new algorithm for surface
deformation monitoring based on small baseline differential SAR interferograms,??? IEEE Trans. Geosci.
Remote Sensing, vol. 40, pp. 2375???2383, Nov. 2002.
Schmidt, D. A., and R. B??rgmann 2003, Time-dependent land uplift and subsidence in the Santa Clara
valley, California, from a large interferometric synthetic aperture radar data set, J. Geophys. Res.,
108, 2416, doi:10.1029/2002JB002267, B9.
Tong, X. and Schmidt, D., 2016. Active movement of the Cascade landslide complex in Washington from a
coherence-based InSAR time series method. Remote Sensing of Environment, 186, pp.405-415.
Tymofyeyeva, E. and Fialko, Y., 2015. Mitigation of atmospheric phase delays in InSAR data, with
application to the eastern California shear zone. Journal of Geophysical Research: Solid Earth, 120(8),
pp.5952-5963.
Xu, X., Sandwell, D. T., Tymofyeyeva, E., Gonz??lez-Ortega, A., & Tong, X.(2017). Tectonic and
anthropogenic deformation at the Cerro Prietogeothermal step-over revealed by Sentinel-1A InSAR. IEEE
Transactions onGeoscience and Remote Sensing, 55(9), 5284-5292.
USAGE: sbas intf.tab scene.tab N S xdim ydim [-atm ni] [-smooth sf] [-wavelength wl] [-incidence
inc] [-range -rng] [-rms] [-dem]
input:
intf.tab
-- list of unwrapped (filtered) interferograms:
format:
unwrap.grd corr.grd ref_id rep_id B_perp
scene.tab
-- list of the SAR scenes in chronological order
format:
scene_id number_of_days
note: the number_of_days is relative to a reference date
N -- number of the interferograms
S -- number of the SAR scenes
xdim and ydim
-- dimension of the interferograms
-smooth sf --
smoothing factors, default=0
-atm ni --
number of iterations for atmospheric correction, default=0(skip atm correction)
-wavelength wl --
wavelength of the radar wave (m) default=0.236
-incidence theta --
incidence angle of the radar wave (degree) default=37
-range rng --
range distance from the radar to the center of the interferogram (m) default=866000
-rms --
output velocity uncertainty grids (mm/yr): rms.grd
-dem --
output DEM error (m): dem_err.grd
-mmap --
use mmap to allocate disk space for less use of memory
-robust --
only work with -atm turnned on, estimate velocity with records that has atm correction
output:
disp_##.grd
-- cumulative displacement time series (mm) grids
vel.grd
-- linear regressed velocity (mm/yr) grids
example:
sbas intf.tab scene.tab 88 28 700 1000
REFERENCES: Berardino P., G. Fornaro, R. Lanari, and E. Sansosti, ???A new algorithm for surface
deformation monitoring based on small baseline differential SAR interferograms,??? IEEE Trans. Geosci.
Remote Sensing, vol. 40, pp. 2375???2383, Nov. 2002.
Schmidt, D. A., and R. B??rgmann 2003, Time-dependent land uplift and subsidence in the Santa Clara
valley, California, from a large interferometric synthetic aperture radar data set, J. Geophys. Res.,
108, 2416, doi:10.1029/2002JB002267, B9.
Tong, X. and Schmidt, D., 2016. Active movement of the Cascade landslide complex in Washington from a
coherence-based InSAR time series method. Remote Sensing of Environment, 186, pp.405-415.
Tymofyeyeva, E. and Fialko, Y., 2015. Mitigation of atmospheric phase delays in InSAR data, with
application to the eastern California shear zone. Journal of Geophysical Research: Solid Earth, 120(8),
pp.5952-5963.
Xu, X., Sandwell, D. T., Tymofyeyeva, E., Gonz??lez-Ortega, A., & Tong, X.(2017). Tectonic and
anthropogenic deformation at the Cerro Prietogeothermal step-over revealed by Sentinel-1A InSAR. IEEE
Transactions onGeoscience and Remote Sensing, 55(9), 5284-5292.