Provided by: mintpy_1.3.3-2_all 
NAME
mintpy-load_data - Saving a stack of Interferograms to an HDF5 file
DESCRIPTION
usage: load_data.py [-h] [-H] [-t TEMPLATE_FILE [TEMPLATE_FILE ...]]
[--project PROJECT_NAME]
[--processor {isce,aria,hyp3,gmtsar,snap,gamma,roipac,cosicorr}] [--enforce]
[--compression {None,gzip,lzf}] [-o OUTFILE OUTFILE OUTFILE]
Saving a stack of Interferograms to an HDF5 file
options:
-h, --help
show this help message and exit
-H Print/Show the example template file for loading.
-t TEMPLATE_FILE [TEMPLATE_FILE ...], --template TEMPLATE_FILE [TEMPLATE_FILE ...]
template file with path info.
--project PROJECT_NAME
project name of dataset for INSARMAPS Web Viewer
--processor {isce,aria,hyp3,gmtsar,snap,gamma,roipac,cosicorr}
InSAR processor/software of the file
--enforce, -f
Disable the update mode, or skip checking dataset already loaded.
--compression {None,gzip,lzf}
compress loaded geometry while writing HDF5 file, default: None.
-o OUTFILE OUTFILE OUTFILE, --output OUTFILE OUTFILE OUTFILE
output HDF5 file
template options:
##---------add attributes manually ## MintPy requires attributes listed at:
https://mintpy.readthedocs.io/en/latest/api/attributes/ ## Missing attributes can
be added below manually (uncomment #), e.g. # ORBIT_DIRECTION = ascending #
PLATFORM = CSK # ... ## a. autoPath - automatic path pattern defined in
mintpy.defaults.auto_path.AUTO_PATH_* ## b. load_data.py -H to check more details
and example inputs. ## c. compression to save disk usage for ifgramStack.h5 file:
## no - save 0% disk usage, fast [default] ## lzf - save ~57% disk usage,
relative slow ## gzip - save ~62% disk usage, very slow [not recommend]
mintpy.load.processor = auto #[isce, aria, hyp3, gmtsar, snap, gamma,
roipac], auto for isce mintpy.load.autoPath = auto #[yes / no], auto for no,
use pre-defined auto path mintpy.load.updateMode = auto #[yes / no], auto for
yes, skip re-loading if HDF5 files are complete mintpy.load.compression = auto
#[gzip / lzf / no], auto for no. ##---------for ISCE only: mintpy.load.metaFile
= auto #[path of common metadata file for the stack], i.e.: ./reference/IW1.xml,
./referenceShelve/data.dat mintpy.load.baselineDir = auto #[path of the
baseline dir], i.e.: ./baselines ##---------interferogram datasets:
mintpy.load.unwFile = auto #[path pattern of unwrapped interferogram files]
mintpy.load.corFile = auto #[path pattern of spatial coherence files]
mintpy.load.connCompFile = auto #[path pattern of connected components
files], optional but recommended mintpy.load.intFile = auto #[path pattern
of wrapped interferogram files], optional mintpy.load.ionoFile = auto
#[path pattern of ionospheric delay files], optional mintpy.load.magFile
= auto #[path pattern of interferogram magnitude files], optional
##---------offset datasets (optional): mintpy.load.azOffFile = auto #[path
pattern of azimuth offset file], optional mintpy.load.rgOffFile = auto #[path
pattern of range offset file], optional mintpy.load.azOffStdFile = auto #[path
pattern of azimuth offset variance file], optional mintpy.load.rgOffStdFile =
auto #[path pattern of range offset variance file], optional
mintpy.load.offSnrFile = auto #[path pattern of offset signal-to-noise ratio
file], optional ##---------geometry datasets: mintpy.load.demFile = auto
#[path of DEM file] mintpy.load.lookupYFile = auto #[path of latitude /row /y
coordinate file], not required for geocoded data mintpy.load.lookupXFile = auto
#[path of longitude/column/x coordinate file], not required for geocoded data
mintpy.load.incAngleFile = auto #[path of incidence angle file], optional but
recommended mintpy.load.azAngleFile = auto #[path of azimuth angle file],
optional mintpy.load.shadowMaskFile = auto #[path of shadow mask file], optional
but recommended mintpy.load.waterMaskFile = auto #[path of water mask file],
optional but recommended mintpy.load.bperpFile = auto #[path pattern of 2D
perpendicular baseline file], optional ##---------multilook (optional): ##
multilook while loading data with nearest interpolation, to reduce dataset size
mintpy.load.ystep = auto #[int >= 1], auto for 1 - no multilooking
mintpy.load.xstep = auto #[int >= 1], auto for 1 - no multilooking
##---------subset (optional): ## if both yx and lalo are specified, use lalo option
unless a) no lookup file AND b) dataset is in radar coord mintpy.subset.yx
= auto #[y0:y1,x0:x1 / no], auto for no mintpy.subset.lalo = auto
#[S:N,W:E / no], auto for no
NOTE:
For interferogram, unwrapPhase is required, the other dataset are optional,
including coherence, connectComponent, wrapPhase, etc. The unwrapPhase metadata
file requires DATE12 attribute in YYMMDD-YYMMDD format. All path of data file must
contain the reference and secondary date, either in file name or folder name.
example:
load_data.py -t GalapagosSenDT128.tempalte load_data.py -t smallbaselineApp.cfg
load_data.py -t smallbaselineApp.cfg GalapagosSenDT128.tempalte --project
GalapagosSenDT128 load_data.py -H #Show example input template for
ISCE/ROI_PAC/GAMMA products
# load geometry only # fill metaFile, baselineDir and geometry datasets in the
template and run load_data.py