def prepare_stack(inputDir, filePattern, metadata=dict(), baseline_dict=dict(), update_mode=True):
print('prepare .rsc file for ', filePattern)
isce_files = sorted(glob.glob(os.path.join(os.path.abspath(inputDir), '*', filePattern)))
if len(isce_files) == 0:
raise FileNotFoundError('no file found in pattern: {}'.format(filePattern))
# write .rsc file for each interferogram file
num_file = len(isce_files)
prog_bar = ptime.progressBar(maxValue=num_file)
for i in range(num_file):
isce_file = isce_files[i]
# prepare metadata for current file
ifg_metadata = readfile.read_attribute(isce_file, metafile_ext='.xml')
ifg_metadata.update(metadata)
dates = os.path.basename(os.path.dirname(isce_file)).split('_')
ifg_metadata = add_ifgram_metadata(ifg_metadata, dates, baseline_dict)
# write .rsc file
rsc_file = isce_file+'.rsc'
writefile.write_roipac_rsc(ifg_metadata, rsc_file,
update_mode=update_mode,
print_msg=False)
prog_bar.update(i+1, suffix='{}_{}'.format(dates[0], dates[1]))
prog_bar.close()
return
def extract_metadata4geometry_radar(fname):
"""Read/extract attribute for .hgt_sim file from Gamma to ROI_PAC
Input:
sim_20070813_20080310.hgt_sim
sim_20070813_20080310.rdc.dem
Search for:
sim_20070813_20080310.diff_par
Output:
sim_20070813_20080310.hgt_sim.rsc
sim_20070813_20080310.rdc.dem.rsc
"""
# Get/read GAMMA par file
# for loop to get rid of multiple dot in filename
fname_base = os.path.splitext(fname)[0]
for i in range(5):
fname_base = os.path.splitext(fname_base)[0]
par_file = fname_base+'.diff_par'
par_dict = readfile.read_gamma_par(par_file)
# Get/read LAT/LON_REF1/2/3/4
msg = 'grab LAT/LON_REF1/2/3/4 from par file: '
# get date of one acquisition
try:
m_date = str(re.findall('\d{8}', fname_base)[0])
except:
m_date = str(re.findall('\d{6}', fname_base)[0])
# search existing par file
geom_dir = os.path.dirname(fname) #PROJECT_DIR/geom_master
ifg_dir = os.path.join(geom_dir, '../*/{}_*'.format(m_date)) #PROJECT_DIR/interferograms/{m_date}_20141225
m_par_files = [os.path.join(geom_dir, '*{}*{}'.format(m_date, ext)) for ext in PAR_EXT_LIST]
m_par_files += [os.path.join(ifg_dir, '*{}*{}'.format(m_date, ext)) for ext in PAR_EXT_LIST]
m_par_files = ut.get_file_list(m_par_files)
# read par file
if len(m_par_files) > 0:
m_par_file = m_par_files[0]
msg += m_par_file
par_dict = get_lalo_ref(m_par_file, par_dict)
else:
msg += ' no par file found with date: {}'.format(m_date)
print(msg)
# initiate ROIPAC dict
atr = {}
atr['PROCESSOR'] = 'gamma'
atr['FILE_TYPE'] = os.path.splitext(fname)[1]
atr.update(par_dict)
# Write to .rsc file
rsc_file = fname+'.rsc'
try:
atr_orig = readfile.read_roipac_rsc(rsc_file)
except:
atr_orig = dict()
if not set(atr.items()).issubset(set(atr_orig.items())):
atr_out = {**atr_orig, **atr}
print('writing >>> '+os.path.basename(rsc_file))
writefile.write_roipac_rsc(atr_out, out_file=rsc_file)
return rsc_file
def write_rsc_file(meta, out_file):
# initiate meta dict
rsc = dict()
rsc['FILE_LENGTH'] = meta.length
rsc['WIDTH'] = meta.width
rsc['XMIN'] = 0
rsc['XMAX'] = meta.width - 1
rsc['YMIN'] = 0
rsc['YMAX'] = meta.length - 1
rsc['X_FIRST'] = '{:.12f}'.format(meta.west)
rsc['Y_FIRST'] = '{:.12f}'.format(meta.north)
rsc['X_STEP'] = '{:.12f}'.format(meta.lon_step)
rsc['Y_STEP'] = '{:.12f}'.format(meta.lat_step)
rsc['X_UNIT'] = 'degrees'
rsc['Y_UNIT'] = 'degrees'
rsc['RLOOKS'] = 1
rsc['ALOOKS'] = 1
rsc['Z_OFFSET'] = 0
rsc['Z_SCALE'] = 1
rsc['PROJECTION'] = 'LATLON'
rsc['DATE12'] = '111111-222222'
rsc['DATA_TYPE'] = 'int16'
# write rsc file
writefile.write_roipac_rsc(rsc, out_file, print_msg=True)
return out_file
def extract_metadata(fname):
"""Read/extract attributes from ROI_PAC .unw, .int, .cor file.
For each unwrapped interferogram or spatial coherence file, there are 2 .rsc files:
basic metadata file and baseline parameter file.
e.g. filt_100901-110117-sim_HDR_4rlks_c10.unw
filt_100901-110117-sim_HDR_4rlks_c10.unw.rsc
100901-110117_baseline.rsc
Inputs:
fname : string, ROI_PAC interferogram filename or path,
i.e. /KujuT422F650AlosA/filt_100901-110117-sim_HDR_4rlks_c10.unw
Outputs:
atr : dict, Attributes dictionary
"""
# 1. Read basic metadata file
basic_rsc_file = fname+'.rsc'
if not os.path.isfile(basic_rsc_file) and fname.endswith('_snap_connect.byt'):
unw_rsc_file = '{}.unw.rsc'.format(fname.split('_snap_connect.byt')[0])
copyCmd = 'cp {} {}'.format(unw_rsc_file, basic_rsc_file)
print(copyCmd)
os.system(copyCmd)
basic_dict = readfile.read_roipac_rsc(basic_rsc_file)
# return if baseline attributes are already existed.
if 'P_BASELINE_TOP_HDR' in basic_dict.keys():
return basic_rsc_file
atr = {}
atr['PROCESSOR'] = 'roipac'
atr['FILE_TYPE'] = os.path.splitext(fname)[1]
# 2. Read baseline metadata file
date1, date2 = basic_dict['DATE12'].split('-')
baseline_rsc_file = os.path.dirname(fname)+'/'+date1+'_'+date2+'_baseline.rsc'
baseline_dict = readfile.read_roipac_rsc(baseline_rsc_file)
# 3. Merge
atr.update(basic_dict)
atr.update(baseline_dict)
# Write to rsc file
basic_rsc_file = fname+'.rsc'
try:
atr_orig = readfile.read_roipac_rsc(basic_rsc_file)
except:
atr_orig = dict()
if not set(atr.items()).issubset(set(atr_orig.items())):
atr_out = {**atr_orig, **atr}
print('merging {} into {} '.format(os.path.basename(baseline_rsc_file),
os.path.basename(basic_rsc_file)))
writefile.write_roipac_rsc(atr_out, out_file=basic_rsc_file)
return basic_rsc_file
def extract_isce_metadata(meta_file, geom_dir=None, rsc_file=None, update_mode=True):
"""Extract metadata from ISCE stack products
Parameters: meta_file : str, path of metadata file, master/IW1.xml or masterShelve/data.dat
geom_dir : str, path of geometry directory.
rsc_file : str, output file name of ROIPAC format rsc file
Returns: metadata : dict
"""
if not rsc_file:
rsc_file = os.path.join(os.path.dirname(meta_file), 'data.rsc')
# check existing rsc_file
if update_mode and ut.run_or_skip(rsc_file, in_file=meta_file, check_readable=False) == 'skip':
return readfile.read_roipac_rsc(rsc_file)
# 1. extract metadata from XML / shelve file
fbase = os.path.basename(meta_file)
if fbase.startswith("IW"):
print('extract metadata from ISCE/topsStack xml file:', meta_file)
metadata = extract_tops_metadata(meta_file)
elif fbase.startswith("data"):
print('extract metadata from ISCE/stripmapStack shelve file:', meta_file)
metadata = extract_stripmap_metadata(meta_file)
elif fbase.endswith(".xml"):
metadata = extract_stripmap_metadata(meta_file)
else:
raise ValueError("unrecognized ISCE metadata file: {}".format(meta_file))
# 2. extract metadata from geometry file
if geom_dir:
metadata = extract_geometry_metadata(geom_dir, metadata)
# 3. common metadata
metadata['PROCESSOR'] = 'isce'
metadata['ANTENNA_SIDE'] = '-1'
# convert all value to string format
for key, value in metadata.items():
metadata[key] = str(value)
# write to .rsc file
metadata = readfile.standardize_metadata(metadata)
if rsc_file:
print('writing ', rsc_file)
writefile.write_roipac_rsc(metadata, rsc_file)
return metadata
def prepare_geometry(geom_dir, metadata=dict(), update_mode=True):
"""Prepare and extract metadata from geometry files"""
print('prepare .rsc file for geometry files')
# grab all existed files
isce_files = [os.path.join(os.path.abspath(geom_dir), '{}.rdr'.format(i))
for i in ['hgt','lat','lon','los','shadowMask','incLocal']]
isce_files = [i for i in isce_files if os.path.isfile(i)]
# write rsc file for each file
for isce_file in isce_files:
# prepare metadata for current file
geom_metadata = readfile.read_attribute(isce_file, metafile_ext='.xml')
geom_metadata.update(metadata)
# write .rsc file
rsc_file = isce_file+'.rsc'
writefile.write_roipac_rsc(geom_metadata, rsc_file,
update_mode=update_mode,
print_msg=True)
return metadata
def extract_isce_metadata(meta_file, geom_dir=None, rsc_file=None, update_mode=True):
"""Extract metadata from ISCE stack products
Parameters: meta_file : str, path of metadata file, reference/IW1.xml or referenceShelve/data.dat
geom_dir : str, path of geometry directory.
rsc_file : str, output file name of ROIPAC format rsc file. None for not write to disk.
Returns: metadata : dict
frame : object, isceobj.Scene.Frame.Frame / isceobj.Scene.Burst.Burst
"""
# check existing rsc_file
if update_mode and ut.run_or_skip(rsc_file, in_file=meta_file, check_readable=False) == 'skip':
return readfile.read_roipac_rsc(rsc_file), None
# 1. read/extract metadata from XML / shelve file
processor = get_processor(meta_file)
if processor == 'tops':
print('extract metadata from ISCE/topsStack xml file:', meta_file)
metadata, frame = extract_tops_metadata(meta_file)
else:
print('extract metadata from ISCE/stripmapStack shelve file:', meta_file)
metadata, frame = extract_stripmap_metadata(meta_file)
# 2. extract metadata from geometry file
if geom_dir:
metadata = extract_geometry_metadata(geom_dir, metadata)
# 3. common metadata
metadata['PROCESSOR'] = 'isce'
metadata['ANTENNA_SIDE'] = '-1'
# convert all value to string format
for key, value in metadata.items():
metadata[key] = str(value)
# write to .rsc file
metadata = readfile.standardize_metadata(metadata)
if rsc_file:
print('writing ', rsc_file)
writefile.write_roipac_rsc(metadata, rsc_file)
return metadata, frame
def prepare_stack(inputDir,
filePattern,
metadata=dict(),
baseline_dict=dict(),
update_mode=True):
print('prepare .rsc file for ', filePattern)
if not os.path.exists(
glob.glob(
os.path.join(os.path.abspath(inputDir), '*',
filePattern + '.xml'))[0]):
filePattern = filePattern.split('.full')[0]
isce_files = sorted(
glob.glob(
os.path.join(os.path.abspath(inputDir), '*',
filePattern + '.xml')))
if len(isce_files) == 0:
raise FileNotFoundError(
'no file found in pattern: {}'.format(filePattern))
slc_dates = np.sort(os.listdir(inputDir))
# write .rsc file for each interferogram file
num_file = len(isce_files)
prog_bar = ptime.progressBar(maxValue=num_file)
for i in range(num_file):
isce_file = isce_files[i].split('.xml')[0]
# prepare metadata for current file
slc_metadata = read_attribute(isce_file, metafile_ext='.xml')
slc_metadata.update(metadata)
dates = [slc_dates[0], os.path.basename(os.path.dirname(isce_file))]
slc_metadata = add_slc_metadata(slc_metadata, dates, baseline_dict)
# write .rsc file
rsc_file = isce_file + '.rsc'
writefile.write_roipac_rsc(slc_metadata,
rsc_file,
update_mode=update_mode,
print_msg=False)
prog_bar.update(i + 1, suffix='{}_{}'.format(dates[0], dates[1]))
prog_bar.close()
return
def prepare_stack(inputDir,
filePattern,
metadata=dict(),
baseline_dict=dict(),
update_mode=True):
print('prepare .rsc file for ', filePattern)
isce_files = sorted(
glob.glob(os.path.join(os.path.abspath(inputDir), '*', filePattern)))
if len(isce_files) == 0:
raise FileNotFoundError(
'no file found in pattern: {}'.format(filePattern))
# write .rsc file for each interferogram file
num_file = len(isce_files)
prog_bar = ptime.progressBar(maxValue=num_file)
for i in range(num_file):
isce_file = isce_files[i]
# prepare metadata for current file
ifg_metadata = readfile.read_attribute(isce_file, metafile_ext='.xml')
ifg_metadata.update(metadata)
dates = os.path.basename(os.path.dirname(isce_file)).split('_')
if len(dates) == 1:
date1 = metadata['startUTC'][0:10].replace(
'-', '') #could also be done using datetime
date2 = os.path.basename(os.path.dirname(isce_file))
dates = [date1, date2]
ifg_metadata = add_ifgram_metadata(ifg_metadata, dates, baseline_dict)
# write .rsc file
rsc_file = isce_file + '.rsc'
writefile.write_roipac_rsc(ifg_metadata,
rsc_file,
update_mode=update_mode,
print_msg=False)
prog_bar.update(i + 1, suffix='{}_{}'.format(dates[0], dates[1]))
prog_bar.close()
return
def extract_metadata4geometry_geo(fname):
"""Read/extract attribute for *.dem / *.UTM_TO_RDC file from Gamma to ROI_PAC
Inputs:
sim_20070813_20080310.utm.dem
sim_20070813_20080310.UTM_TO_RDC
Search for:
sim_20070813_20080310.utm.dem.par
Outputs:
sim_20070813_20080310.utm.dem.rsc
sim_20070813_20080310.UTM_TO_RDC.rsc
"""
# Get/read GAMMA par file
ext = os.path.splitext(fname)[1]
if ext in ['.UTM_TO_RDC']:
par_file = os.path.splitext(fname)[0] + '.utm.dem.par'
elif fnames[0].endswith('.utm.dem'):
par_file = fname + '.par'
par_dict = readfile.read_gamma_par(par_file)
# initiate ROIPAC dict
atr = {}
atr['PROCESSOR'] = 'gamma'
atr['FILE_TYPE'] = ext
atr['Y_UNIT'] = 'degrees'
atr['X_UNIT'] = 'degrees'
atr.update(par_dict)
# Write to .rsc file
rsc_file = fname + '.rsc'
try:
atr_orig = readfile.read_roipac_rsc(rsc_file)
except:
atr_orig = dict()
if not set(atr.items()).issubset(set(atr_orig.items())):
atr_out = {**atr_orig, **atr}
print('writing >>> ' + os.path.basename(rsc_file))
writefile.write_roipac_rsc(atr_out, out_file=rsc_file)
return rsc_file
def prepare_stack(inputDir, filePattern, metadata=dict(), baseline_dict=dict(), processor='tops', update_mode=True):
print('prepare .rsc file for ', filePattern)
if processor in ['tops', 'stripmap']:
isce_files = sorted(glob.glob(os.path.join(os.path.abspath(inputDir), '*', filePattern)))
elif processor == 'alosStack':
isce_files = sorted(glob.glob(os.path.join(os.path.abspath(inputDir), filePattern)))
else:
raise ValueError('Un-recognized ISCE stack processor: {}'.format(processor))
if len(isce_files) == 0:
raise FileNotFoundError('no file found in pattern: {}'.format(filePattern))
# write .rsc file for each interferogram file
num_file = len(isce_files)
prog_bar = ptime.progressBar(maxValue=num_file)
for i in range(num_file):
# prepare metadata for current file
isce_file = isce_files[i]
if processor in ['tops', 'stripmap']:
dates = os.path.basename(os.path.dirname(isce_file)).split('_') # to modify to YYYYMMDDTHHMMSS
elif processor == 'alosStack':
dates = os.path.basename(os.path.dirname(os.path.dirname(isce_file))).split('-') # to modify to YYYYMMDDTHHMMSS
dates = ptime.yyyymmdd(dates)
else:
raise ValueError('Un-recognized ISCE stack processor: {}'.format(processor))
ifg_metadata = readfile.read_attribute(isce_file, metafile_ext='.xml')
ifg_metadata.update(metadata)
ifg_metadata = add_ifgram_metadata(ifg_metadata, dates, baseline_dict)
# write .rsc file
rsc_file = isce_file+'.rsc'
writefile.write_roipac_rsc(ifg_metadata, rsc_file,
update_mode=update_mode,
print_msg=False)
prog_bar.update(i+1, suffix='{}_{}'.format(dates[0], dates[1]))
prog_bar.close()
return
def extract_metadata4geometry_geo(fname):
"""Read/extract attribute for *.dem / *.UTM_TO_RDC file from Gamma to ROI_PAC
Inputs:
sim_20070813_20080310.utm.dem
sim_20070813_20080310.UTM_TO_RDC
Search for:
sim_20070813_20080310.utm.dem.par
Outputs:
sim_20070813_20080310.utm.dem.rsc
sim_20070813_20080310.UTM_TO_RDC.rsc
"""
# Get/read GAMMA par file
ext = os.path.splitext(fname)[1]
if ext in ['.UTM_TO_RDC']:
par_file = os.path.splitext(fname)[0]+'.utm.dem.par'
elif fnames[0].endswith('.utm.dem'):
par_file = fname+'.par'
par_dict = readfile.read_gamma_par(par_file)
# initiate ROIPAC dict
atr = {}
atr['PROCESSOR'] = 'gamma'
atr['FILE_TYPE'] = ext
atr['Y_UNIT'] = 'degrees'
atr['X_UNIT'] = 'degrees'
atr.update(par_dict)
# Write to .rsc file
rsc_file = fname+'.rsc'
try:
atr_orig = readfile.read_roipac_rsc(rsc_file)
except:
atr_orig = dict()
if not set(atr.items()).issubset(set(atr_orig.items())):
atr_out = {**atr_orig, **atr}
print('writing >>> '+os.path.basename(rsc_file))
writefile.write_roipac_rsc(atr_out, out_file=rsc_file)
return rsc_file
def prepare_geometry(geom_files, meta, update_mode=True):
"""Prepare .rsc file for all geometry files."""
num_file = len(geom_files)
if num_file == 0:
raise FileNotFoundError('NO geometry file found!')
# write .rsc file for each geometry file
for geom_file in geom_files:
# copy over the common metadata
geom_meta = {}
for key, value in meta.items():
geom_meta[key] = value
# update from .grd file
geom_meta.update(readfile.read_gdal_vrt(geom_file))
# write .rsc file
rsc_file = geom_file+'.rsc'
writefile.write_roipac_rsc(geom_meta, rsc_file,
update_mode=update_mode,
print_msg=True)
return
def prepare_geometry(geom_dir, metadata=dict(), update_mode=True):
"""Prepare and extract metadata from geometry files"""
print('prepare .rsc file for geometry files')
# grab all existed files
isce_files = [
os.path.join(os.path.abspath(geom_dir), '{}.rdr'.format(i))
for i in ['hgt', 'lat', 'lon', 'los', 'shadowMask', 'incLocal']
]
isce_files = [i for i in isce_files if os.path.isfile(i)]
# write rsc file for each file
for isce_file in isce_files:
# prepare metadata for current file
geom_metadata = readfile.read_attribute(isce_file, metafile_ext='.xml')
geom_metadata.update(metadata)
# write .rsc file
rsc_file = isce_file + '.rsc'
writefile.write_roipac_rsc(geom_metadata,
rsc_file,
update_mode=update_mode,
print_msg=True)
return metadata
def update_file_attribute(fname, atr_new):
# Read Original Attributes
atr = readfile.read_attribute(fname)
print('update {} file attribute: {}'.format(atr['FILE_TYPE'], fname))
ext = os.path.splitext(fname)[1]
if ext in ['.h5', '.he5']:
fname = ut.add_attribute(fname, atr_new)
else:
if not ut.update_attribute_or_not(atr_new, atr):
print(
'All updated (removed) attributes already exists (do not exists) and have the same value, skip update.'
)
else:
for key, value in iter(atr_new.items()):
if value == 'None' and key in atr.keys():
atr.pop(key)
else:
atr[key] = value
rsc_file = '{}.rsc'.format(fname)
print('writing >>> {}'.format(rsc_file))
writefile.write_roipac_rsc(atr, out_file=rsc_file)
return fname
def extract_metadata4interferogram(fname):
"""Read/extract attributes from Gamma .unw, .cor and .int file
Parameters: fname : str, Gamma interferogram filename or path,
i.e. /PopoSLT143TsxD/diff_filt_HDR_130118-130129_4rlks.unw
Returns: atr : dict, Attributes dictionary
"""
file_dir = os.path.dirname(fname)
file_basename = os.path.basename(fname)
rsc_file = fname+'.rsc'
# if os.path.isfile(rsc_file):
# return rsc_file
atr = {}
atr['PROCESSOR'] = 'gamma'
atr['FILE_TYPE'] = os.path.splitext(fname)[1]
# Get info: date12, num of loooks
try:
date12 = str(re.findall('\d{8}[-_]\d{8}', file_basename)[0])
except:
date12 = str(re.findall('\d{6}[-_]\d{6}', file_basename)[0])
m_date, s_date = date12.replace('-', '_').split('_')
atr['DATE12'] = ptime.yymmdd(m_date)+'-'+ptime.yymmdd(s_date)
lks = os.path.splitext(file_basename)[0].split(date12)[1]
#lks = os.path.splitext(file_basename.split(date12)[1])[0]
# Read .off and .par file
off_files = file_dir+'/*'+date12+lks+'.off'
m_par_files = [file_dir+'/*'+m_date+lks+i for i in PAR_EXT_LIST]
s_par_files = [file_dir+'/*'+s_date+lks+i for i in PAR_EXT_LIST]
try:
m_par_file = ut.get_file_list(m_par_files)[0]
except:
m_par_file = None
print('\nERROR: Can not find master date .par file, it supposed to be like: '+m_par_files)
try:
s_par_file = ut.get_file_list(s_par_files)[0]
except:
s_par_file = None
print('\nERROR: Can not find slave date .par file, it supposed to be like: '+s_par_files)
try:
off_file = ut.get_file_list(off_files)[0]
except:
off_file = file_dir+'/'+date12+lks+'.off'
offCmd = 'create_offset {} {} {} 1 1 1 0'.format(m_par_file, s_par_file, off_file)
print(offCmd)
os.system(offCmd)
par_dict = readfile.read_gamma_par(m_par_file)
off_dict = readfile.read_gamma_par(off_file)
atr.update(par_dict)
atr.update(off_dict)
# Perp Baseline Info
atr = get_perp_baseline(m_par_file, s_par_file, off_file, atr)
# LAT/LON_REF1/2/3/4
atr = get_lalo_ref(m_par_file, atr)
# Write to .rsc file
try:
atr_orig = readfile.read_roipac_rsc(rsc_file)
except:
atr_orig = dict()
if not set(atr.items()).issubset(set(atr_orig.items())):
atr_out = {**atr_orig, **atr}
print('merge %s, %s and %s into %s' % (os.path.basename(m_par_file),
os.path.basename(s_par_file),
os.path.basename(off_file),
os.path.basename(rsc_file)))
writefile.write_roipac_rsc(atr_out, out_file=rsc_file)
return rsc_file
def extract_metadata4interferogram(fname):
"""Read/extract attributes from Gamma .unw, .cor and .int file
Parameters: fname : str, Gamma interferogram filename or path,
i.e. /PopoSLT143TsxD/diff_filt_HDR_130118-130129_4rlks.unw
Returns: atr : dict, Attributes dictionary
"""
file_dir = os.path.dirname(fname)
file_basename = os.path.basename(fname)
rsc_file = fname+'.rsc'
# if os.path.isfile(rsc_file):
# return rsc_file
atr = {}
atr['PROCESSOR'] = 'gamma'
atr['FILE_TYPE'] = os.path.splitext(fname)[1]
# Get info: date12, num of loooks
try:
date12 = str(re.findall('\d{8}[-_]\d{8}', file_basename)[0])
except:
date12 = str(re.findall('\d{6}[-_]\d{6}', file_basename)[0])
m_date, s_date = date12.replace('-', '_').split('_')
atr['DATE12'] = ptime.yymmdd(m_date)+'-'+ptime.yymmdd(s_date)
lks = os.path.splitext(file_basename)[0].split(date12)[1]
#lks = os.path.splitext(file_basename.split(date12)[1])[0]
# Read .off and .par file
off_files = file_dir+'/*'+date12+lks+'.off'
m_par_files = [file_dir+'/*'+m_date+lks+i for i in PAR_EXT_LIST]
s_par_files = [file_dir+'/*'+s_date+lks+i for i in PAR_EXT_LIST]
try:
m_par_file = ut.get_file_list(m_par_files)[0]
except:
m_par_file = None
print('\nERROR: Can not find master date .par file, it supposed to be like: '+m_par_files)
try:
s_par_file = ut.get_file_list(s_par_files)[0]
except:
s_par_file = None
print('\nERROR: Can not find slave date .par file, it supposed to be like: '+s_par_files)
try:
off_file = ut.get_file_list(off_files)[0]
except:
off_file = file_dir+'/'+date12+lks+'.off'
offCmd = 'create_offset {} {} {} 1 1 1 0'.format(m_par_file, s_par_file, off_file)
print(offCmd)
os.system(offCmd)
par_dict = readfile.read_gamma_par(m_par_file)
off_dict = readfile.read_gamma_par(off_file)
atr.update(par_dict)
atr.update(off_dict)
# Perp Baseline Info
atr = get_perp_baseline(m_par_file, s_par_file, off_file, atr)
# LAT/LON_REF1/2/3/4
atr = get_lalo_ref(m_par_file, atr)
# Write to .rsc file
try:
atr_orig = readfile.read_roipac_rsc(rsc_file)
except:
atr_orig = dict()
if not set(atr.items()).issubset(set(atr_orig.items())):
atr_out = {**atr_orig, **atr}
print('merge %s, %s and %s into %s' % (os.path.basename(m_par_file),
os.path.basename(s_par_file),
os.path.basename(off_file),
os.path.basename(rsc_file)))
writefile.write_roipac_rsc(atr_out, out_file=rsc_file)
return rsc_file
def extract_metadata4geometry_radar(fname):
"""Read/extract attribute for .hgt_sim file from Gamma to ROI_PAC
Input:
sim_20070813_20080310.hgt_sim
sim_20070813_20080310.rdc.dem
Search for:
sim_20070813_20080310.diff_par
Output:
sim_20070813_20080310.hgt_sim.rsc
sim_20070813_20080310.rdc.dem.rsc
"""
# Get/read GAMMA par file
# for loop to get rid of multiple dot in filename
fname_base = os.path.splitext(fname)[0]
for i in range(5):
fname_base = os.path.splitext(fname_base)[0]
par_file = fname_base + '.diff_par'
par_dict = readfile.read_gamma_par(par_file)
# Get/read LAT/LON_REF1/2/3/4
msg = 'grab LAT/LON_REF1/2/3/4 from par file: '
# get date of one acquisition
try:
m_date = str(re.findall('\d{8}', fname_base)[0])
except:
m_date = str(re.findall('\d{6}', fname_base)[0])
# search existing par file
geom_dir = os.path.dirname(fname) #PROJECT_DIR/geom_master
ifg_dir = os.path.join(geom_dir, '../*/{}_*'.format(
m_date)) #PROJECT_DIR/interferograms/{m_date}_20141225
m_par_files = [
os.path.join(geom_dir, '*{}*{}'.format(m_date, ext))
for ext in PAR_EXT_LIST
]
m_par_files += [
os.path.join(ifg_dir, '*{}*{}'.format(m_date, ext))
for ext in PAR_EXT_LIST
]
m_par_files = ut.get_file_list(m_par_files)
# read par file
if len(m_par_files) > 0:
m_par_file = m_par_files[0]
msg += m_par_file
par_dict = get_lalo_ref(m_par_file, par_dict)
else:
msg += ' no par file found with date: {}'.format(m_date)
print(msg)
# initiate ROIPAC dict
atr = {}
atr['PROCESSOR'] = 'gamma'
atr['FILE_TYPE'] = os.path.splitext(fname)[1]
atr.update(par_dict)
# Write to .rsc file
rsc_file = fname + '.rsc'
try:
atr_orig = readfile.read_roipac_rsc(rsc_file)
except:
atr_orig = dict()
if not set(atr.items()).issubset(set(atr_orig.items())):
atr_out = {**atr_orig, **atr}
print('writing >>> ' + os.path.basename(rsc_file))
writefile.write_roipac_rsc(atr_out, out_file=rsc_file)
return rsc_file
def extract_metadata4interferogram(fname, sensor_name=None):
"""Read/extract attributes from Gamma .unw, .cor and .int file
Parameters: fname : str, Gamma interferogram filename or path,
i.e. /PopoSLT143TsxD/diff_filt_HDR_130118-130129_4rlks.unw
Returns: atr : dict, Attributes dictionary
"""
file_dir = os.path.dirname(fname)
file_basename = os.path.basename(fname)
rsc_file = fname+'.rsc'
# if os.path.isfile(rsc_file):
# return rsc_file
atr = {}
atr['PROCESSOR'] = 'gamma'
atr['FILE_TYPE'] = os.path.splitext(fname)[1]
# Get info: date12, num of loooks
try:
date12 = str(re.findall('\d{8}[-_]\d{8}', file_basename)[0])
except:
date12 = str(re.findall('\d{6}[-_]\d{6}', file_basename)[0])
m_date, s_date = date12.replace('-', '_').split('_')
atr['DATE12'] = ptime.yymmdd(m_date)+'-'+ptime.yymmdd(s_date)
lks = os.path.splitext(file_basename)[0].split(date12)[1]
#lks = os.path.splitext(file_basename.split(date12)[1])[0]
# Read .off and .par file
off_files = file_dir+'/*'+date12+lks+'.off'
m_par_files = [file_dir+'/*'+m_date+lks+i for i in PAR_EXT_LIST]
s_par_files = [file_dir+'/*'+s_date+lks+i for i in PAR_EXT_LIST]
try:
m_par_file = ut.get_file_list(m_par_files)[0]
except:
m_par_file = None
print('\nERROR: Can not find reference date .par file, it supposed to be like: '+m_par_files)
try:
s_par_file = ut.get_file_list(s_par_files)[0]
except:
s_par_file = None
print('\nERROR: Can not find secondary date .par file, it supposed to be like: '+s_par_files)
try:
off_file = ut.get_file_list(off_files)[0]
except:
off_file = file_dir+'/'+date12+lks+'.off'
offCmd = 'create_offset {} {} {} 1 1 1 0'.format(m_par_file, s_par_file, off_file)
print(offCmd)
os.system(offCmd)
par_dict = readfile.read_gamma_par(m_par_file)
off_dict = readfile.read_gamma_par(off_file)
atr.update(par_dict)
atr.update(off_dict)
# Perp Baseline Info
atr = get_perp_baseline(m_par_file, s_par_file, off_file, atr)
# LAT/LON_REF1/2/3/4
atr = get_lalo_ref(m_par_file, atr)
# NCORRLOOKS
if sensor_name:
rg_bandwidth = float(atr['chirp_bandwidth'])
rg_resolution = SPEED_OF_LIGHT / (2. * rg_bandwidth)
rg_pixel_size = float(atr['RANGE_PIXEL_SIZE']) / float(atr['RLOOKS'])
rg_fact = rg_resolution / rg_pixel_size
antenna_length = sensor.SENSOR_DICT[sensor_name]['antenna_length']
az_resolution = antenna_length / 2
az_pixel_size = float(atr['AZIMUTH_PIXEL_SIZE']) / float(atr['ALOOKS'])
az_fact = az_resolution / az_pixel_size
ncorr_looks = float(atr['RLOOKS']) * float(atr['ALOOKS']) / (rg_fact * az_fact)
atr['NCORRLOOKS'] = ncorr_looks
# Write to .rsc file
try:
atr_orig = readfile.read_roipac_rsc(rsc_file)
except:
atr_orig = dict()
if not set(atr.items()).issubset(set(atr_orig.items())):
atr_out = {**atr_orig, **atr}
print('merge %s, %s and %s into %s' % (os.path.basename(m_par_file),
os.path.basename(s_par_file),
os.path.basename(off_file),
os.path.basename(rsc_file)))
writefile.write_roipac_rsc(atr_out, out_file=rsc_file)
return rsc_file
def extract_gmtsar_metadata(unw_file, template_file, rsc_file=None, update_mode=True):
"""Extract metadata from GMTSAR interferogram stack."""
# update_mode: check existing rsc_file
if update_mode and ut.run_or_skip(rsc_file, in_file=unw_file, check_readable=False) == 'skip':
return readfile.read_roipac_rsc(rsc_file)
ifg_dir = os.path.dirname(unw_file)
# 1. read *.PRM file
prm_file = get_prm_files(ifg_dir)[0]
meta = readfile.read_gmtsar_prm(prm_file)
meta['PROCESSOR'] = 'gmtsar'
# 2. read template file: HEADING, ORBIT_DIRECTION
template = readfile.read_template(template_file)
for key in ['HEADING', 'ORBIT_DIRECTION']:
if key in template.keys():
meta[key] = template[key].lower()
else:
raise ValueError('Attribute {} is missing! Please manually specify it in the template file.')
# 3. grab A/RLOOKS from radar-coord data file
meta['ALOOKS'], meta['RLOOKS'] = get_multilook_number(ifg_dir)
meta['AZIMUTH_PIXEL_SIZE'] *= meta['ALOOKS']
meta['RANGE_PIXEL_SIZE'] *= meta['RLOOKS']
# 4. grab LAT/LON_REF1/2/3/4 from geo-coord data file
meta = get_lalo_ref(ifg_dir, meta)
# 5. grab X/Y_FIRST/STEP from unw_file if in geo-coord
ds = gdal.Open(unw_file, gdal.GA_ReadOnly)
transform = ds.GetGeoTransform()
x_step = abs(transform[1])
y_step = abs(transform[5]) * -1.
if 1e-7 < x_step < 1.:
meta['X_STEP'] = x_step
meta['Y_STEP'] = y_step
meta['X_FIRST'] = transform[0] - x_step / 2.
meta['Y_FIRST'] = transform[3] - y_step / 2.
# constrain longitude within (-180, 180]
if meta['X_FIRST'] > 180.:
meta['X_FIRST'] -= 360.
# 6. extra metadata for the missing geometry dataset: SLANT_RANGE_DISTANCE / INCIDENCE_ANGLE
# for dataset in geo-coordinates
if 'Y_FIRST' in meta.keys():
meta = get_slant_range_distance(ifg_dir, meta)
Re = float(meta['EARTH_RADIUS'])
H = float(meta['HEIGHT'])
Rg = float(meta['SLANT_RANGE_DISTANCE'])
Inc = (np.pi - np.arccos((Re**2 + Rg**2 - (Re+H)**2) / (2*Re*Rg))) * 180./np.pi
meta['INCIDENCE_ANGLE'] = Inc
# convert all value to string format
for key, value in meta.items():
meta[key] = str(value)
# write to .rsc file
meta = readfile.standardize_metadata(meta)
if rsc_file:
print('writing ', rsc_file)
os.makedirs(os.path.dirname(rsc_file), exist_ok=True)
writefile.write_roipac_rsc(meta, rsc_file)
return meta
