def save_hdfeos5(inps, customTemplate=None):
if not inps.geocoded:
warnings.warn('Dataset is in radar coordinates, skip writting to HDF-EOS5 format.')
else:
# Add attributes from custom template to timeseries file
if customTemplate is not None:
ut.add_attribute(inps.timeseriesFile, customTemplate)
# Save to HDF-EOS5 format
print('--------------------------------------------')
hdfeos5Cmd = ('save_hdfeos5.py {t} -c {c} -m {m} -g {g}'
' -t {e}').format(t=inps.timeseriesFile,
c=inps.tempCohFile,
m=inps.maskFile,
g=inps.geomFile,
e=inps.templateFile)
print(hdfeos5Cmd)
atr = readfile.read_attribute(inps.timeseriesFile)
SAT = sensor.get_unavco_mission_name(atr)
try:
inps.hdfeos5File = ut.get_file_list('{}_*.he5'.format(SAT))[0]
except:
inps.hdfeos5File = None
if ut.run_or_skip(out_file=inps.hdfeos5File, in_file=[inps.timeseriesFile,
inps.tempCohFile,
inps.maskFile,
inps.geomFile]) == 'run':
status = subprocess.Popen(hdfeos5Cmd, shell=True).wait()
if status is not 0:
raise Exception('Error while generating HDF-EOS5 time-series file.\n')
return
def run_save2hdfeos5(self, step_name):
"""Save displacement time-series and its aux data in geo coordinate into HDF-EOS5 format"""
if self.template['pysar.save.hdfEos5'] is True:
# input
ts_file = self.get_timeseries_filename(
self.template)[step_name]['input']
# Add attributes from custom template to timeseries file
if self.customTemplate is not None:
ut.add_attribute(ts_file, self.customTemplate)
tcoh_file = 'temporalCoherence.h5'
mask_file = 'geo_maskTempCoh.h5'
geom_file = ut.check_loaded_dataset(self.workDir,
print_msg=False)[2]
if 'GEOCODE' in ts_file:
tcoh_file = './GEOCODE/geo_temporalCoherence.h5'
mask_file = './GEOCODE/geo_maskTempCoh.h5'
geom_file = './GEOCODE/geo_{}'.format(
os.path.basename(geom_file))
# cmd
print('--------------------------------------------')
scp_args = '{f} -c {c} -m {m} -g {g} -t {t}'.format(
f=ts_file,
c=tcoh_file,
m=mask_file,
g=geom_file,
t=self.templateFile)
print('save_hdfeos5.py', scp_args)
# output (check existing file)
atr = readfile.read_attribute(ts_file)
SAT = sensor.get_unavco_mission_name(atr)
try:
hdfeos5_file = get_file_list('{}_*.he5'.format(SAT))[0]
except:
hdfeos5_file = None
if ut.run_or_skip(
out_file=hdfeos5_file,
in_file=[ts_file, tcoh_file, mask_file,
geom_file]) == 'run':
pysar.save_hdfeos5.main(scp_args.split())
else:
print('save time-series to HDF-EOS5 format is OFF.')
return
def metadata_pysar2unavco(pysar_meta_dict_in, dateList):
# Extract UNAVCO format metadata from PySAR attributes dictionary and dateList
pysar_meta_dict = {}
for key in pysar_meta_dict_in.keys():
pysar_meta_dict[key] = pysar_meta_dict_in[key]
for prefix in ['unavco.', 'hdfeos5.']:
if prefix in key.lower():
key2 = key.lower().split(prefix)[1]
pysar_meta_dict[key2] = pysar_meta_dict_in[key]
unavco_meta_dict = dict()
#################################
# Required metadata
#################################
# Given manually
# mission
# ERS,ENV,S1,RS1,RS2,CSK,TSX,JERS,ALOS,ALOS2
try:
unavco_meta_dict['mission'] = sensor.get_unavco_mission_name(
pysar_meta_dict)
except ValueError:
print('Missing required attribute: mission')
# beam_mode/swath
unavco_meta_dict['beam_mode'] = pysar_meta_dict['beam_mode']
try:
unavco_meta_dict['beam_swath'] = int(pysar_meta_dict['beam_swath'])
except:
unavco_meta_dict['beam_swath'] = 0
# relative_orbit, or track number
#atr_dict['relative_orbit'] = int(re.match(r'(\w+)T([0-9+])',atr['PROJECT_NAME']).groups()[1])
unavco_meta_dict['relative_orbit'] = int(pysar_meta_dict['relative_orbit'])
# processing info
try:
unavco_meta_dict['processing_type'] = pysar_meta_dict[
'processing_type']
except:
unavco_meta_dict['processing_type'] = 'LOS_TIMESERIES'
#unavco_meta_dict['processing_software'] = pysar_meta_dict['processing_software']
# Grabbed by script
# date info
unavco_meta_dict['first_date'] = dt.datetime.strptime(
dateList[0], '%Y%m%d').isoformat()[0:10]
unavco_meta_dict['last_date'] = dt.datetime.strptime(
dateList[-1], '%Y%m%d').isoformat()[0:10]
# footprint
lons = [
pysar_meta_dict['LON_REF1'], pysar_meta_dict['LON_REF3'],
pysar_meta_dict['LON_REF4'], pysar_meta_dict['LON_REF2'],
pysar_meta_dict['LON_REF1']
]
lats = [
pysar_meta_dict['LAT_REF1'], pysar_meta_dict['LAT_REF3'],
pysar_meta_dict['LAT_REF4'], pysar_meta_dict['LAT_REF2'],
pysar_meta_dict['LAT_REF1']
]
unavco_meta_dict['scene_footprint'] = "POLYGON((" + ",".join(
[lon + ' ' + lat for lon, lat in zip(lons, lats)]) + "))"
unavco_meta_dict['history'] = dt.datetime.utcnow().isoformat()[0:10]
#################################
# Recommended metadata
#################################
# Given manually
if 'frame' in pysar_meta_dict.keys():
unavco_meta_dict['frame'] = int(pysar_meta_dict['frame'])
elif 'first_frame' in pysar_meta_dict.keys():
unavco_meta_dict['frame'] = int(pysar_meta_dict['first_frame'])
else:
unavco_meta_dict['frame'] = 0
try:
unavco_meta_dict['atmos_correct_method'] = pysar_meta_dict[
'atmos_correct_method']
except:
pass
try:
unavco_meta_dict['post_processing_method'] = pysar_meta_dict[
'post_processing_method']
except:
unavco_meta_dict['post_processing_method'] = 'PYSAR'
try:
unavco_meta_dict['processing_dem'] = pysar_meta_dict['processing_dem']
except:
pass
try:
unavco_meta_dict['unwrap_method'] = pysar_meta_dict['unwrap_method']
except:
pass
# Grabbed by script
try:
unavco_meta_dict['flight_direction'] = pysar_meta_dict[
'ORBIT_DIRECTION'][0].upper()
except:
pass
if pysar_meta_dict['ANTENNA_SIDE'] == '-1':
unavco_meta_dict['look_direction'] = 'R'
else:
unavco_meta_dict['look_direction'] = 'L'
try:
unavco_meta_dict['polarization'] = pysar_meta_dict['POLARIZATION']
except:
pass
try:
unavco_meta_dict['prf'] = float(pysar_meta_dict['PRF'])
except:
pass
try:
unavco_meta_dict['wavelength'] = float(pysar_meta_dict['WAVELENGTH'])
except:
pass
#################################
# insarmaps metadata
#################################
# footprint for data coverage
if 'X_FIRST' in pysar_meta_dict.keys():
lon0 = float(pysar_meta_dict['X_FIRST'])
lat0 = float(pysar_meta_dict['Y_FIRST'])
lon1 = lon0 + float(pysar_meta_dict['X_STEP']) * int(
pysar_meta_dict['WIDTH'])
lat1 = lat0 + float(pysar_meta_dict['Y_STEP']) * int(
pysar_meta_dict['LENGTH'])
lons = [str(lon0), str(lon1), str(lon1), str(lon0), str(lon0)]
lats = [str(lat0), str(lat0), str(lat1), str(lat1), str(lat0)]
unavco_meta_dict['data_footprint'] = "POLYGON((" + ",".join(
[lon + ' ' + lat for lon, lat in zip(lons, lats)]) + "))"
else:
print(
'Input file is not geocoded, no data_footprint without X/Y_FIRST/STEP info.'
)
return unavco_meta_dict