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.