def geo_correction_original(date_pair, params, incidence_angle_or_map):
dem_file = params[cf.DEM_FILE]
geotif_dem = os.path.join(
params[cf.OUT_DIR],
os.path.basename(dem_file).split('.')[0] + '.tif')
mlooked_dem = prepifg.mlooked_path(geotif_dem,
looks=params[cf.IFG_LKSX],
crop_out=params[cf.IFG_CROP_OPT])
# make sure mlooked dem exist
if not os.path.exists(mlooked_dem):
raise prepifg.PreprocessError('mlooked dem was not found.'
'Please run prepifg.')
dem_header = gamma.parse_dem_header(params[cf.DEM_HEADER_FILE])
lat, lon, nx, ny = return_pyaps_lat_lon(dem_header)
""" using geo coordinates to remove APS """
aps1 = pa.PyAPS_geo(os.path.join(ECMWF_DIR,
ECMWF_PRE + date_pair[0] + ECMWF_EXT),
mlooked_dem,
grib=ECMWF,
verb=True,
demfmt=GEOTIFF,
demtype=np.float32,
dem_header=(lon, lat, nx, ny))
aps2 = pa.PyAPS_geo(os.path.join(ECMWF_DIR,
ECMWF_PRE + date_pair[1] + ECMWF_EXT),
mlooked_dem,
grib=ECMWF,
verb=True,
demfmt=GEOTIFF,
demtype=np.float32,
dem_header=(lon, lat, nx, ny))
phs1 = np.zeros((aps1.ny, aps1.nx))
phs2 = np.zeros((aps2.ny, aps2.nx))
print('Without Lat Lon files')
aps1.getdelay(phs1, inc=incidence_angle_or_map)
aps2.getdelay(phs2, inc=incidence_angle_or_map)
aps_delay = phs2 - phs1 # delay in meters as we don't provide wavelength
return aps_delay
def parallel_aps(data_path, dem, dem_header, incidence_angle, incidence_map,
list_of_dates_for_grb_download, mlooked_dem, params):
if params[cf.PROCESSOR] == 1: # gamma
date_pair = [i for i in GAMMA_PTN.findall(os.path.basename(data_path))]
elif params[cf.PROCESSOR] == 0: # roipac
# adding 20 to dates here, so dates before 2000 won't work
# TODO: fix pre 2000 dates
date_pair = [
'20' + i for i in ROIPAC_PTN.findall(os.path.basename(data_path))
]
else:
raise AttributeError('processor needs to be gamma(1) or roipac(0)')
list_of_dates_for_grb_download += date_pair
first_grb = os.path.join(ECMWF_DIR, ECMWF_PRE + date_pair[0] + ECMWF_EXT)
second_grb = os.path.join(ECMWF_DIR, ECMWF_PRE + date_pair[1] + ECMWF_EXT)
# download .grb file if does not exist
if not (os.path.exists(first_grb) and os.path.exists(second_grb)):
# download weather files at 12:00 UTC (other options 00:00, 06:00, 18:00)
pa.ecmwf_download(date_pair, '12', 'ECMWF')
# rdr_correction(date_pair)
# TODO: lat lon correction when lat and lon files are available
# aps1.getgeodelay(phs1, inc=23.0, wvl=0.056,
# lat=os.path.join(PYAPS_EXAMPLES, 'lat.flt'),
# lon=os.path.join(PYAPS_EXAMPLES, 'lon.flt'))
# aps2.getgeodelay(phs2, inc=23.0, wvl=0.056,
# lat=os.path.join(PYAPS_EXAMPLES, 'lat.flt'),
# lon=os.path.join(PYAPS_EXAMPLES, 'lon.flt'))
# LLphs = phs2-phs1
# print dem_header, mlooked_dem
if params[cf.APS_METHOD] == 1:
# no need to calculate incidence angle for all ifgs, they are the same
if incidence_angle is None:
incidence_angle = get_incidence_angle(date_pair, params)
aps_delay = geo_correction(date_pair, dem_header, dem, incidence_angle)
elif params[cf.APS_METHOD] == 2:
# no need to calculate incidence map for all ifgs, they are the same
aps_delay = geo_correction(date_pair, dem_header, dem, incidence_map)
else:
raise APSException('APS method must be 1 or 2')
return aps_delay
def geo_correction(date_pair, dem_header, dem, incidence_angle_or_map):
""" using geo coordinates to remove APS """
aps1 = pa.PyAPSPyRateGeo(os.path.join(ECMWF_DIR, ECMWF_PRE + date_pair[0] +
ECMWF_EXT),
dem_header=dem_header,
dem=dem,
grib=ECMWF,
verb=True)
aps2 = pa.PyAPSPyRateGeo(os.path.join(ECMWF_DIR, ECMWF_PRE + date_pair[1] +
ECMWF_EXT),
dem_header=dem_header,
dem=dem,
grib=ECMWF,
verb=True)
phs1 = np.zeros((aps1.ny, aps1.nx))
phs2 = np.zeros((aps2.ny, aps2.nx))
print('Without Lat Lon files')
aps1.getdelay_pyrate(phs1, dem, inc=incidence_angle_or_map)
aps2.getdelay_pyrate(phs2, dem, inc=incidence_angle_or_map)
aps_delay = phs2 - phs1 # delay in meters as we don't provide wavelength
return aps_delay
def remove_aps_delay_original(ifgs, params):
list_of_dates_for_grb_download = []
incidence_angle = None
incidence_map = None
for ifg in ifgs: # demo for only one ifg
if params[cf.PROCESSOR] == 1: # gamma
PTN = re.compile(r'\d{8}')
date_pair = [
i for i in PTN.findall(os.path.basename(ifg.data_path))
]
elif params[cf.PROCESSOR] == 0: # roipac
# adding 20 to dates here, so dates before 2000 won't work
# TODO: fix pre 2000 dates
PTN = re.compile(r'\d{6}')
date_pair = [
'20' + i for i in PTN.findall(os.path.basename(ifg.data_path))
]
else:
raise AttributeError('processor needs to be gamma(1) or roipac(0)')
list_of_dates_for_grb_download += date_pair
first_grb = os.path.join(ECMWF_DIR,
ECMWF_PRE + date_pair[0] + ECMWF_EXT)
second_grb = os.path.join(ECMWF_DIR,
ECMWF_PRE + date_pair[1] + ECMWF_EXT)
# download .grb file if does not exist
if not (os.path.exists(first_grb) and os.path.exists(second_grb)):
# download weather files at 12:00 UTC (other options 00:00, 06:00, 18:00)
pa.ecmwf_download(date_pair, '12', 'ECMWF')
def get_incidence_map():
"""
:param incidence_map:
:param params:
:param inc_or_ele: 1 when incidence map, 0 when elevation map
:return:
"""
if params[cf.APS_ELEVATION_MAP] is not None:
f, e = os.path.basename(
params[cf.APS_ELEVATION_MAP]).split('.')
else:
f, e = os.path.basename(
params[cf.APS_INCIDENCE_MAP]).split('.')
multilooked = os.path.join(
params[cf.OUT_DIR],
f + '_' + e + '_{looks}rlks_{crop}cr.tif'.format(
looks=params[cf.IFG_LKSX], crop=params[cf.IFG_CROP_OPT]))
assert os.path.exists(multilooked), \
'cropped and multilooked incidence map file not found. ' \
'Use apsmethod=1, Or run prepifg with gamma processor'
ds = gdal.Open(multilooked, gdalconst.GA_ReadOnly)
if params[cf.APS_INCIDENCE_MAP] is not None:
incidence_map = ds.ReadAsArray()
else:
incidence_map = 90 - ds.ReadAsArray()
ds = None # close file
return incidence_map
if params[cf.APS_METHOD] == 1:
# no need to calculate incidence angle for all ifgs, they are the same
if incidence_angle is None:
incidence_angle = get_incidence_angle(date_pair, params)
aps_delay = geo_correction(date_pair, params, incidence_angle)
elif params[cf.APS_METHOD] == 2:
# no need to calculate incidence map for all ifgs, they are the same
if incidence_map is None:
if params[cf.APS_INCIDENCE_MAP] is not None:
incidence_map = get_incidence_map()
else: # elevation map was provided
assert params[cf.APS_ELEVATION_MAP] is not None
incidence_map = get_incidence_map()
aps_delay = geo_correction_original(date_pair, params,
incidence_map)
else:
raise APSException('APS method must be 1 or 2')
ifg.phase_data -= aps_delay # remove delay
# add it to the meta_data dict
ifg.meta_data[ifc.PYRATE_APS_ERROR] = APS_STATUS
# write meta_data to file
ifg.dataset.SetMetadataItem(ifc.PYRATE_APS_ERROR, APS_STATUS)
ifg.write_modified_phase()
sys.exit(1) #outfile oname = sys.argv[3] #Wavelength, conversion cm to m wvl = float(sys.argv[4])/100.0 #Incidence angle, conversion deg to rad inc = float(sys.argv[5])*math.pi/180.0 #-------------------------------------------------------- # Initialize Constants #-------------------------------------------------------- # Reading atmo constants dictionary cdic = PyAPS.initconst() cdic['wvl'] = wvl cdic['inc'] = inc #Values for interpolation minAlt = cdic['minAlt'] maxAlt = cdic['maxAlt'] nhgt = cdic['nhgt'] minAltp = cdic['minAltP'] hgt = np.linspace(minAlt, maxAlt, nhgt) # Scaling for interpolation # For rdr geom grid is about 200*200 pixels # nght gives the spacing #hgtscale = 0.5 for nhgt=151 hgtscale = ((maxAlt-minAlt)/nhgt)/200
############################################################ # Program is part of PyAPS # # Copyright 2012, by the California Institute of Technology# # Contact: [email protected] # # Modified by A. Benoit and R. Jolivet 2019 # # Ecole Normale Superieure, Paris # # Contact: [email protected] # ############################################################ '''Script to automatically download weather model data corresponding to our interferograms.''' import PyAPS import tsinsar as ts import datetime as dt dates,sat,bperp = ts.load_list('ifg.list') days,usat,Jmat = ts.ConnectMatrix(dates,sat) daylist = [] for k in days: dobj = dt.date.fromordinal(int(k)) strobj = '%4d%02d%02d'%(dobj.year,dobj.month,dobj.day) daylist.append(strobj) PyAPS.ECMWFdload(daylist,'18','./Atmos/ECMWF/') #PyAPS.NARRdload(daylist,'18','./Atmos/NARR/') #PyAPS.ERAdload(daylist,'18','./Atmos/ERA')
'''Script to automatically download weather model data corresponding to our interferograms.'''
import PyAPS
import tsinsar as ts
import datetime as dt
dates, sat, bperp = ts.load_list('ifg.list')
days, usat, Jmat = ts.ConnectMatrix(dates, sat)
daylist = []
for k in days:
dobj = dt.date.fromordinal(int(k))
strobj = '%4d%02d%02d' % (dobj.year, dobj.month, dobj.day)
daylist.append(strobj)
#PyAPS.ECMWFdload(daylist,'18','./Atmos/ECMWF/')
#PyAPS.NARRdload(daylist,'18','./Atmos/NARR/')
PyAPS.ERAdload(daylist, '18', './Atmos/ERA')
############################################################
# Program is part of PyAPS #
# Copyright 2012, by the California Institute of Technology#
# Contact: [email protected] #
############################################################
if not os.path.isfile(dname):
print 'DEM File not found: ', dname
sys.exit(1)
if not os.path.isfile(dname+'.rsc'):
print 'DEM RSC File not found: ', dname
sys.exit(1)
oname = sys.argv[3]
wvl = float(sys.argv[4])/100.0 #Conversion from cm to meters
inc = float(sys.argv[5])*math.pi/180.0 #Conversion to radians
####################Completed parsing inputs
#####Reading DEM.rsc file ############################
[lon, lat, nx, ny, bufspc] = PyAPS.geo_rsc(dname)
##############Completed reading DEM.rsc file##############
cdict=PyAPS.initconst()
cdict['wvl'] = wvl
cdict['inc'] = inc
plotflag = 'n'
hgt = np.linspace(cdict['minAlt'], cdict['maxAlt'], cdict['nhgt']) #Heights for interpolation
# Scaling for interpolation
# For geo geom grid is about 0.703*0.703
# nght gives the spacing
#hgtscale = 142.25 for nhgt=151
hgtscale=((cdict['maxAlt']-cdict['minAlt'])/cdict['nhgt'])/0.703
