def main(argv=None):
#%% Check argv
if argv == None:
argv = sys.argv
start = time.time()
ver = "1.2.5"
date = 20210105
author = "Y. Morishita"
print("\n{} ver{} {} {}".format(os.path.basename(argv[0]), ver, date,
author),
flush=True)
print("{} {}".format(os.path.basename(argv[0]), ' '.join(argv[1:])),
flush=True)
### For parallel processing
global ifgdates2, in_dir, out_dir, length, width, x1, x2, y1, y2, cycle, cmap_wrap
#%% Set default
in_dir = []
out_dir = []
range_str = []
range_geo_str = []
try:
n_para = len(os.sched_getaffinity(0))
except:
n_para = multi.cpu_count()
q = multi.get_context('fork')
cmap_wrap = SCM.romaO
#%% Read options
try:
try:
opts, args = getopt.getopt(argv[1:], "hi:o:r:g:",
["help", "n_para="])
except getopt.error as msg:
raise Usage(msg)
for o, a in opts:
if o == '-h' or o == '--help':
print(__doc__)
return 0
elif o == '-i':
in_dir = a
elif o == '-o':
out_dir = a
elif o == '-r':
range_str = a
elif o == '-g':
range_geo_str = a
elif o == '--n_para':
n_para = int(a)
if not in_dir:
raise Usage('No input directory given, -i is not optional!')
if not out_dir:
raise Usage('No output directory given, -o is not optional!')
if not range_str and not range_geo_str:
raise Usage('No clip area given, use either -r or -g!')
if range_str and range_geo_str:
raise Usage('Both -r and -g given, use either -r or -g not both!')
elif not os.path.isdir(in_dir):
raise Usage('No {} dir exists!'.format(in_dir))
elif not os.path.exists(os.path.join(in_dir, 'slc.mli.par')):
raise Usage('No slc.mli.par file exists in {}!'.format(in_dir))
except Usage as err:
print("\nERROR:", file=sys.stderr, end='')
print(" " + str(err.msg), file=sys.stderr)
print("\nFor help, use -h or --help.\n", file=sys.stderr)
return 2
#%% Read info and make dir
in_dir = os.path.abspath(in_dir)
out_dir = os.path.abspath(out_dir)
ifgdates = tools_lib.get_ifgdates(in_dir)
n_ifg = len(ifgdates)
mlipar = os.path.join(in_dir, 'slc.mli.par')
width = int(io_lib.get_param_par(mlipar, 'range_samples'))
length = int(io_lib.get_param_par(mlipar, 'azimuth_lines'))
speed_of_light = 299792458 #m/s
radar_frequency = float(io_lib.get_param_par(mlipar,
'radar_frequency')) #Hz
wavelength = speed_of_light / radar_frequency #meter
if wavelength > 0.2: ## L-band
cycle = 1.5 # 2pi/cycle for png
else: ## C-band
cycle = 3 # 2pi*3/cycle for png
dempar = os.path.join(in_dir, 'EQA.dem_par')
lat1 = float(io_lib.get_param_par(dempar, 'corner_lat')) # north
lon1 = float(io_lib.get_param_par(dempar, 'corner_lon')) # west
postlat = float(io_lib.get_param_par(dempar, 'post_lat')) # negative
postlon = float(io_lib.get_param_par(dempar, 'post_lon')) # positive
lat2 = lat1 + postlat * (length - 1) # south
lon2 = lon1 + postlon * (width - 1) # east
if not os.path.exists(out_dir):
os.mkdir(out_dir)
#%% Check and set range to be clipped
### Read -r or -g option
if range_str: ## -r
if not tools_lib.read_range(range_str, width, length):
print('\nERROR in {}\n'.format(range_str), file=sys.stderr)
return 1
else:
x1, x2, y1, y2 = tools_lib.read_range(range_str, width, length)
else: ## -g
if not tools_lib.read_range_geo(range_geo_str, width, length, lat1,
postlat, lon1, postlon):
print('\nERROR in {}\n'.format(range_geo_str), file=sys.stderr)
return 1
else:
x1, x2, y1, y2 = tools_lib.read_range_geo(range_geo_str, width,
length, lat1, postlat,
lon1, postlon)
range_str = '{}:{}/{}:{}'.format(x1, x2, y1, y2)
### Calc clipped info
width_c = x2 - x1
length_c = y2 - y1
lat1_c = lat1 + postlat * y1 # north
lon1_c = lon1 + postlon * x1 # west
lat2_c = lat1_c + postlat * (length_c - 1) # south
lon2_c = lon1_c + postlon * (width_c - 1) # east
print("\nArea to be clipped:", flush=True)
print(" 0:{}/0:{} -> {}:{}/{}:{}".format(width, length, x1, x2, y1, y2))
print(" {:.7f}/{:.7f}/{:.7f}/{:.7f} ->".format(lon1, lon2, lat2, lat1))
print(" {:.7f}/{:.7f}/{:.7f}/{:.7f}".format(lon1_c, lon2_c, lat2_c,
lat1_c))
print(" Width/Length: {}/{} -> {}/{}".format(width, length, width_c,
length_c))
print("", flush=True)
clipareafile = os.path.join(out_dir, 'cliparea.txt')
with open(clipareafile, 'w') as f:
f.write(range_str)
#%% Make clipped par files
mlipar_c = os.path.join(out_dir, 'slc.mli.par')
dempar_c = os.path.join(out_dir, 'EQA.dem_par')
### slc.mli.par
with open(mlipar, 'r') as f:
file = f.read()
file = re.sub(r'range_samples:\s*{}'.format(width),
'range_samples: {}'.format(width_c), file)
file = re.sub(r'azimuth_lines:\s*{}'.format(length),
'azimuth_lines: {}'.format(length_c), file)
with open(mlipar_c, 'w') as f:
f.write(file)
### EQA.dem_par
with open(dempar, 'r') as f:
file = f.read()
file = re.sub(r'width:\s*{}'.format(width), 'width: {}'.format(width_c),
file)
file = re.sub(r'nlines:\s*{}'.format(length),
'nlines: {}'.format(length_c), file)
file = re.sub(r'corner_lat:\s*{}'.format(lat1),
'corner_lat: {}'.format(lat1_c), file)
file = re.sub(r'corner_lon:\s*{}'.format(lon1),
'corner_lon: {}'.format(lon1_c), file)
with open(dempar_c, 'w') as f:
f.write(file)
#%% Clip or copy other files than unw and cc
files = sorted(glob.glob(os.path.join(in_dir, '*')))
for file in files:
if os.path.isdir(file):
continue #not copy directory
elif file == mlipar or file == dempar:
continue #not copy
elif os.path.getsize(file) == width * length * 4: ##float file
print('Clip {}'.format(os.path.basename(file)), flush=True)
data = io_lib.read_img(file, length, width)
data = data[y1:y2, x1:x2]
filename = os.path.basename(file)
outfile = os.path.join(out_dir, filename)
data.tofile(outfile)
elif file == os.path.join(in_dir, 'slc.mli.png'):
print('Recreate slc.mli.png', flush=True)
mli = io_lib.read_img(os.path.join(out_dir, 'slc.mli'), length_c,
width_c)
pngfile = os.path.join(out_dir, 'slc.mli.png')
plot_lib.make_im_png(mli, pngfile, 'gray', 'MLI', cbar=False)
elif file == os.path.join(in_dir, 'hgt.png'):
print('Recreate hgt.png', flush=True)
hgt = io_lib.read_img(os.path.join(out_dir, 'hgt'), length_c,
width_c)
vmax = np.nanpercentile(hgt, 99)
vmin = -vmax / 3 ## bnecause 1/4 of terrain is blue
pngfile = os.path.join(out_dir, 'hgt.png')
plot_lib.make_im_png(hgt,
pngfile,
'terrain',
'DEM (m)',
vmin,
vmax,
cbar=True)
else:
print('Copy {}'.format(os.path.basename(file)), flush=True)
shutil.copy(file, out_dir)
#%% Clip unw and cc
print('\nClip unw and cc', flush=True)
### First, check if already exist
ifgdates2 = []
for ifgix, ifgd in enumerate(ifgdates):
out_dir1 = os.path.join(out_dir, ifgd)
unwfile_c = os.path.join(out_dir1, ifgd + '.unw')
ccfile_c = os.path.join(out_dir1, ifgd + '.cc')
if not (os.path.exists(unwfile_c) and os.path.exists(ccfile_c)):
ifgdates2.append(ifgd)
n_ifg2 = len(ifgdates2)
if n_ifg - n_ifg2 > 0:
print(" {0:3}/{1:3} clipped unw and cc already exist. Skip".format(
n_ifg - n_ifg2, n_ifg),
flush=True)
if n_ifg2 > 0:
### Clip with parallel processing
if n_para > n_ifg2:
n_para = n_ifg2
print(' {} parallel processing...'.format(n_para), flush=True)
p = q.Pool(n_para)
p.map(clip_wrapper, range(n_ifg2))
p.close()
#%% Finish
elapsed_time = time.time() - start
hour = int(elapsed_time / 3600)
minite = int(np.mod((elapsed_time / 60), 60))
sec = int(np.mod(elapsed_time, 60))
print("\nElapsed time: {0:02}h {1:02}m {2:02}s".format(hour, minite, sec))
print('\n{} Successfully finished!!\n'.format(os.path.basename(argv[0])))
print('Output directory: {}\n'.format(os.path.relpath(out_dir)))
def main(argv=None):
#%% Check argv
if argv == None:
argv = sys.argv
start = time.time()
ver = 1.2
date = 20200703
author = "Y. Morishita"
print("\n{} ver{} {} {}".format(os.path.basename(argv[0]), ver, date,
author),
flush=True)
print("{} {}".format(os.path.basename(argv[0]), ' '.join(argv[1:])),
flush=True)
#%% Set default
xy_str = []
lonlat_str = []
cumfile = 'cum_filt.h5'
tsfile = []
refarea = []
refarea_geo = []
maskfile = []
#%% Read options
try:
try:
opts, args = getopt.getopt(argv[1:], "hp:g:i:o:r:",
["help", "ref_geo=", "mask="])
except getopt.error as msg:
raise Usage(msg)
for o, a in opts:
if o == '-h' or o == '--help':
print(__doc__)
return 0
elif o == '-p':
xy_str = a
elif o == '-g':
lonlat_str = a
elif o == '-i':
cumfile = a
elif o == '-o':
tsfile = a
elif o == '-r':
refarea = a
elif o == '--ref_geo':
refarea_geo = a
elif o == '--mask':
maskfile = a
if not xy_str and not lonlat_str:
raise Usage('No point location given, use either -p or -g!')
elif not os.path.exists(cumfile):
raise Usage('No {} exists! Use -i option.'.format(cumfile))
except Usage as err:
print("\nERROR:", file=sys.stderr, end='')
print(" " + str(err.msg), file=sys.stderr)
print("\nFor help, use -h or --help.\n", file=sys.stderr)
return 2
#%% Read info
### Read cumfile
cumh5 = h5.File(cumfile, 'r')
cum = cumh5['cum']
gap = cumh5['gap']
imdates = cumh5['imdates'][()].astype(str).tolist()
n_im, length, width = cum.shape
if 'corner_lat' in list(cumh5.keys()):
geocod_flag = True
lat1 = float(cumh5['corner_lat'][()])
lon1 = float(cumh5['corner_lon'][()])
dlat = float(cumh5['post_lat'][()])
dlon = float(cumh5['post_lon'][()])
else:
geocod_flag = False
if 'deramp_flag' in list(cumh5.keys()):
deramp_flag = cumh5['deramp_flag'][()]
else:
deramp_flag = None
if 'hgt_linear_flag' in list(cumh5.keys()):
hgt_linear_flag = cumh5['hgt_linear_flag'][()]
else:
hgt_linear_flag = None
if 'filtwidth_km' in list(cumh5.keys()):
filtwidth_km = float(cumh5['filtwidth_km'][()])
filtwidth_yr = float(cumh5['filtwidth_yr'][()])
else:
filtwidth_km = filtwidth_yr = None
#%% Set info
###Set ref area
if refarea:
if not tools_lib.read_range(refarea, width, length):
print('\nERROR in {}\n'.format(refarea), file=sys.stderr)
return 2
else:
refx1, refx2, refy1, refy2 = tools_lib.read_range(
refarea, width, length)
elif refarea_geo and geocod_flag:
lat1 = float(cumh5['corner_lat'][()])
lon1 = float(cumh5['corner_lon'][()])
dlat = float(cumh5['post_lat'][()])
dlon = float(cumh5['post_lon'][()])
if not tools_lib.read_range_geo(refarea_geo, width, length, lat1, dlat,
lon1, dlon):
print('\nERROR in {}\n'.format(refarea_geo), file=sys.stderr)
return 2
else:
refx1, refx2, refy1, refy2 = tools_lib.read_range_geo(
refarea_geo, width, length, lat1, dlat, lon1, dlon)
else:
refarea = cumh5['refarea'][()]
refx1, refx2, refy1, refy2 = [
int(s) for s in re.split('[:/]', refarea)
]
if geocod_flag:
reflat2, reflon1 = tools_lib.xy2bl(refx1, refy1, lat1, dlat, lon1,
dlon)
reflat1, reflon2 = tools_lib.xy2bl(refx2 - 1, refy2 - 1, lat1, dlat,
lon1, dlon)
else:
reflat1 = reflon1 = reflat2 = reflon2 = None
### Set point
if xy_str: ## -p option
x, y = [int(s) for s in xy_str.split('/')]
if not 1 <= x <= width:
print("\nERROR: {} is out of range ({}-{})".format(
x, 0, width - 1),
file=sys.stderr)
return 2
elif not 1 <= y <= length:
print("\nERROR: {} is out of range ({}-{})".format(
y, 0, length - 1),
file=sys.stderr)
return 2
if geocod_flag:
lat, lon = tools_lib.xy2bl(x, y, lat1, dlat, lon1, dlon)
else:
lat = lon = None
else: ## -g option
if not geocod_flag:
print('\nERROR: not geocoded, -g option unavailable\n',
file=sys.stderr)
return 2
lat2 = lat1 + dlat * (length - 1)
lon2 = lon1 + dlon * (width - 1)
lon, lat = [float(s) for s in lonlat_str.split('/')]
if not lon1 <= lon <= lon2:
print("\nERROR: {} is out of range ({}-{})".format(
lon, lon1, lon2),
file=sys.stderr)
return 2
elif not lat2 <= lat <= lat1:
print("\nERROR: {} is out of range ({}-{})".format(
lat, lat2, lat1),
file=sys.stderr)
return 2
x, y = tools_lib.bl2xy(lon, lat, width, length, lat1, dlat, lon1, dlon)
## update latlon
lat, lon = tools_lib.xy2bl(x, y, lat1, dlat, lon1, dlon)
if geocod_flag:
print('Location: {:.5f}/{:.5f}'.format(lon, lat))
if not tsfile:
tsfile = 'ts_{}_{}.txt'.format(x, y)
### Gaps
gap1 = gap[:, y, x]
### mask
if maskfile:
mask = io_lib.read_img(maskfile, length, width)
mask[mask == 0] = np.nan
else:
mask = np.ones((length, width), dtype=np.float32)
#%% Read cum data
ts = cum[:, y, x] * mask[y, x]
if np.all(np.isnan(ts)):
print('\nERROR: All cum data are Nan at {}/{}!\n'.format(x, y),
file=sys.stderr)
return 2
ts_ref = np.nanmean(cum[:, refy1:refy2, refx1:refx2] *
mask[refy1:refy2, refx1:refx2],
axis=(1, 2))
if np.all(np.isnan(ts_ref)):
print('\nERROR: Ref area has only NaN value!\n', file=sys.stderr)
return 2
ts_dif = ts - ts_ref
ts_dif = ts_dif - ts_dif[0] ## Make first date zero
### Make txt
io_lib.make_tstxt(x,
y,
imdates,
ts_dif,
tsfile,
refx1,
refx2,
refy1,
refy2,
gap1,
lat=lat,
lon=lon,
reflat1=reflat1,
reflat2=reflat2,
reflon1=reflon1,
reflon2=reflon2,
deramp_flag=deramp_flag,
hgt_linear_flag=hgt_linear_flag,
filtwidth_km=filtwidth_km,
filtwidth_yr=filtwidth_yr)
#%% Finish
elapsed_time = time.time() - start
hour = int(elapsed_time / 3600)
minite = int(np.mod((elapsed_time / 60), 60))
sec = int(np.mod(elapsed_time, 60))
print("\nElapsed time: {0:02}h {1:02}m {2:02}s".format(hour, minite, sec))
print('\n{} Successfully finished!!\n'.format(os.path.basename(argv[0])))
print('Output: {}\n'.format(tsfile), flush=True)
dlon = float(cumh5['post_lon'][()])
aspect = np.abs(dlat/dlon/np.cos(np.deg2rad(lat1+dlat*length/2)))
except:
geocod_flag = False
aspect = 1
print('No latlon field found in {}. Skip.'.format(cumfile))
### Set initial ref area
if refarea:
if not tools_lib.read_range(refarea, width, length):
print('\nERROR in {}\n'.format(refarea), file=sys.stderr)
sys.exit(2)
else:
refx1, refx2, refy1, refy2 = tools_lib.read_range(refarea, width, length)
elif refarea_geo and geocod_flag:
if not tools_lib.read_range_geo(refarea_geo, width, length, lat1, dlat, lon1, dlon):
print('\nERROR in {}\n'.format(refarea_geo), file=sys.stderr)
sys.exit(2)
else:
refx1, refx2, refy1, refy2 = tools_lib.read_range_geo(refarea_geo, width, length, lat1, dlat, lon1, dlon)
else:
refarea = cumh5['refarea'][()]
refx1, refx2, refy1, refy2 = [int(s) for s in re.split('[:/]', refarea)]
refx1h = refx1-0.5; refx2h = refx2-0.5 ## Shift half for plot
refy1h = refy1-0.5; refy2h = refy2-0.5
### Set initial point
if point:
if not tools_lib.read_point(point, width, length):
def main(argv=None):
#%% Check argv
if argv == None:
argv = sys.argv
start = time.time()
print("{} {}".format(os.path.basename(argv[0]), ' '.join(argv[1:])),
flush=True)
#%% Set default
in_dir = []
out_dir = []
range_str = []
range_geo_str = []
#%% Read options
try:
try:
opts, args = getopt.getopt(argv[1:], "hi:o:r:g:", ["help"])
except getopt.error as msg:
raise Usage(msg)
for o, a in opts:
if o == '-h' or o == '--help':
print(__doc__)
return 0
elif o == '-i':
in_dir = a
elif o == '-o':
out_dir = a
elif o == '-r':
range_str = a
elif o == '-g':
range_geo_str = a
if not in_dir:
raise Usage('No input directory given, -i is not optional!')
if not out_dir:
raise Usage('No output directory given, -o is not optional!')
if not range_str and not range_geo_str:
raise Usage('No clip area given, use either -r or -g!')
if range_str and range_geo_str:
raise Usage('Both -r and -g given, use either -r or -g not both!')
elif not os.path.isdir(in_dir):
raise Usage('No {} dir exists!'.format(in_dir))
elif not os.path.exists(os.path.join(in_dir, 'slc.mli.par')):
raise Usage('No slc.mli.par file exists in {}!'.format(in_dir))
except Usage as err:
print("\nERROR:", file=sys.stderr, end='')
print(" " + str(err.msg), file=sys.stderr)
print("\nFor help, use -h or --help.\n", file=sys.stderr)
return 2
#%% Read info and make dir
in_dir = os.path.abspath(in_dir)
out_dir = os.path.abspath(out_dir)
ifgdates = tools_lib.get_ifgdates(in_dir)
n_ifg = len(ifgdates)
mlipar = os.path.join(in_dir, 'slc.mli.par')
width = int(io_lib.get_param_par(mlipar, 'range_samples'))
length = int(io_lib.get_param_par(mlipar, 'azimuth_lines'))
speed_of_light = 299792458 #m/s
radar_frequency = float(io_lib.get_param_par(mlipar,
'radar_frequency')) #Hz
wavelength = speed_of_light / radar_frequency #meter
if wavelength > 0.2: ## L-band
cycle = 1.5 # 2pi/cycle for png
else: ## C-band
cycle = 3 # 2pi*3/cycle for png
dempar = os.path.join(in_dir, 'EQA.dem_par')
lat1 = float(io_lib.get_param_par(dempar, 'corner_lat')) # north
lon1 = float(io_lib.get_param_par(dempar, 'corner_lon')) # west
postlat = float(io_lib.get_param_par(dempar, 'post_lat')) # negative
postlon = float(io_lib.get_param_par(dempar, 'post_lon')) # positive
lat2 = lat1 + postlat * (length - 1) # south
lon2 = lon1 + postlon * (width - 1) # east
if not os.path.exists(out_dir):
os.mkdir(out_dir)
#%% Check and set range to be clipped
### Read -r or -g option
if range_str: ## -r
if not tools_lib.read_range(range_str, width, length):
print('\nERROR in {}\n'.format(range_str), file=sys.stderr)
return 1
else:
x1, x2, y1, y2 = tools_lib.read_range(range_str, width, length)
else: ## -g
if not tools_lib.read_range_geo(range_geo_str, width, length, lat1,
postlat, lon1, postlon):
print('\nERROR in {}\n'.format(range_geo_str), file=sys.stderr)
return 1
else:
x1, x2, y1, y2 = tools_lib.read_range_geo(range_geo_str, width,
length, lat1, postlat,
lon1, postlon)
range_str = '{}:{}/{}:{}'.format(x1, x2, y1, y2)
### Calc clipped info
width_c = x2 - x1
length_c = y2 - y1
lat1_c = lat1 + postlat * y1 # north
lon1_c = lon1 + postlon * x1 # west
lat2_c = lat1_c + postlat * (length_c - 1) # south
lon2_c = lon1_c + postlon * (width_c - 1) # east
print("\nArea to be clipped:", flush=True)
print(" 0:{}/0:{} -> {}:{}/{}:{}".format(width, length, x1, x2, y1, y2))
print(" {:.7f}/{:.7f}/{:.7f}/{:.7f} ->".format(lon1, lon2, lat2, lat1))
print(" {:.7f}/{:.7f}/{:.7f}/{:.7f}".format(lon1_c, lon2_c, lat2_c,
lat1_c))
print(" Width/Length: {}/{} -> {}/{}".format(width, length, width_c,
length_c))
print("", flush=True)
clipareafile = os.path.join(out_dir, 'cliparea.txt')
with open(clipareafile, 'w') as f:
f.write(range_str)
#%% Make clipped par files
mlipar_c = os.path.join(out_dir, 'slc.mli.par')
dempar_c = os.path.join(out_dir, 'EQA.dem_par')
### slc.mli.par
with open(mlipar, 'r') as f:
file = f.read()
file = re.sub(r'range_samples:\s*{}'.format(width),
'range_samples: {}'.format(width_c), file)
file = re.sub(r'azimuth_lines:\s*{}'.format(length),
'azimuth_lines: {}'.format(length_c), file)
with open(mlipar_c, 'w') as f:
f.write(file)
### EQA.dem_par
with open(dempar, 'r') as f:
file = f.read()
file = re.sub(r'width:\s*{}'.format(width), 'width: {}'.format(width_c),
file)
file = re.sub(r'nlines:\s*{}'.format(length),
'nlines: {}'.format(length_c), file)
file = re.sub(r'corner_lat:\s*{}'.format(lat1),
'corner_lat: {}'.format(lat1_c), file)
file = re.sub(r'corner_lon:\s*{}'.format(lon1),
'corner_lon: {}'.format(lon1_c), file)
with open(dempar_c, 'w') as f:
f.write(file)
#%% Clip or copy other files than unw and cc
files = glob.glob(os.path.join(in_dir, '*'))
for file in files:
if os.path.isdir(file):
continue #not copy directory
elif file == mlipar or file == dempar:
continue #not copy
elif os.path.getsize(file) == width * length * 4: ##float file
print('Clip {}'.format(os.path.basename(file)), flush=True)
data = io_lib.read_img(file, length, width)
data = data[y1:y2, x1:x2]
filename = os.path.basename(file)
outfile = os.path.join(out_dir, filename)
data.tofile(outfile)
elif file == os.path.join(in_dir, 'slc.mli.png'):
print('Recreate slc.mli.png', flush=True)
mli = io_lib.read_img(os.path.join(out_dir, 'slc.mli'), length_c,
width_c)
pngfile = os.path.join(out_dir, 'slc.mli.png')
plot_lib.make_im_png(mli, pngfile, 'gray', 'MLI', cbar=False)
else:
print('Copy {}'.format(os.path.basename(file)), flush=True)
shutil.copy(file, out_dir)
#%% Clip unw and cc
print('\nClip unw and cc', flush=True)
### First, check if already exist
ifgdates2 = []
for ifgix, ifgd in enumerate(ifgdates):
out_dir1 = os.path.join(out_dir, ifgd)
unwfile_c = os.path.join(out_dir1, ifgd + '.unw')
ccfile_c = os.path.join(out_dir1, ifgd + '.cc')
if not (os.path.exists(unwfile_c) and os.path.exists(ccfile_c)):
ifgdates2.append(ifgd)
n_ifg2 = len(ifgdates2)
if n_ifg - n_ifg2 > 0:
print(" {0:3}/{1:3} clipped unw and cc already exist. Skip".format(
n_ifg - n_ifg2, n_ifg),
flush=True)
### Clip
for ifgix, ifgd in enumerate(ifgdates2):
if np.mod(ifgix, 100) == 0:
print(" {0:3}/{1:3}th unw...".format(ifgix, n_ifg2), flush=True)
unwfile = os.path.join(in_dir, ifgd, ifgd + '.unw')
ccfile = os.path.join(in_dir, ifgd, ifgd + '.cc')
unw = io_lib.read_img(unwfile, length, width)
coh = io_lib.read_img(ccfile, length, width)
### Clip
unw = unw[y1:y2, x1:x2]
coh = coh[y1:y2, x1:x2]
### Output
out_dir1 = os.path.join(out_dir, ifgd)
if not os.path.exists(out_dir1): os.mkdir(out_dir1)
unw.tofile(os.path.join(out_dir1, ifgd + '.unw'))
coh.tofile(os.path.join(out_dir1, ifgd + '.cc'))
## Output png for corrected unw
pngfile = os.path.join(out_dir1, ifgd + '.unw.png')
title = '{} ({}pi/cycle)'.format(ifgd, cycle * 2)
plot_lib.make_im_png(np.angle(np.exp(1j * unw / cycle) * cycle),
pngfile,
'insar',
title,
-np.pi,
np.pi,
cbar=False)
#%% Finish
elapsed_time = time.time() - start
hour = int(elapsed_time / 3600)
minite = int(np.mod((elapsed_time / 60), 60))
sec = int(np.mod(elapsed_time, 60))
print("\nElapsed time: {0:02}h {1:02}m {2:02}s".format(hour, minite, sec))
print('\n{} Successfully finished!!\n'.format(os.path.basename(argv[0])))
print('Output directory: {}\n'.format(os.path.relpath(out_dir)))
def main(argv=None):
#%% Check argv
if argv == None:
argv = sys.argv
start = time.time()
ver = "1.4.5"
date = 20201124
author = "Y. Morishita"
print("\n{} ver{} {} {}".format(os.path.basename(argv[0]), ver, date,
author),
flush=True)
print("{} {}".format(os.path.basename(argv[0]), ' '.join(argv[1:])),
flush=True)
## for parallel processing
global cum, mask, deg_ramp, hgt_linearflag, hgt, hgt_min, hgt_max,\
filtcumdir, filtincdir, imdates, cycle, coef_r2m, models, \
filtwidth_yr, filtwidth_km, dt_cum, x_stddev, y_stddev, mask2, cmap_wrap
## global cum_org from hdf5 contaminate in paralell warpper? So pass them by arg.
#%% Set default
tsadir = []
filtwidth_km = 2
filtwidth_yr = []
deg_ramp = []
hgt_linearflag = False
hgt_min = 200 ## meter
hgt_max = 10000 ## meter
maskflag = True
try:
n_para = len(os.sched_getaffinity(0))
except:
n_para = multi.cpu_count()
range_str = []
range_geo_str = []
ex_range_str = []
ex_range_geo_str = []
cumname = 'cum.h5'
cmap_vel = SCM.roma.reversed()
cmap_noise_r = 'viridis_r'
cmap_wrap = SCM.romaO
# q = multi.get_context('fork')
q = multi.get_context('spawn')
compress = 'gzip'
#%% Read options
try:
try:
opts, args = getopt.getopt(argv[1:], "ht:s:y:r:", [
"help", "hgt_linear", "hgt_min=", "hgt_max=", "nomask",
"n_para=", "range=", "range_geo=", "ex_range=", "ex_range_geo="
])
except getopt.error as msg:
raise Usage(msg)
for o, a in opts:
if o == '-h' or o == '--help':
print(__doc__)
return 0
elif o == '-t':
tsadir = a
elif o == '-s':
filtwidth_km = float(a)
elif o == '-y':
filtwidth_yr = float(a)
elif o == '-r':
deg_ramp = a
elif o == '--hgt_linear':
hgt_linearflag = True
elif o == '--hgt_min':
hgt_min = int(a)
elif o == '--hgt_max':
hgt_max = int(a)
elif o == '--nomask':
maskflag = False
elif o == '--n_para':
n_para = int(a)
elif o == '--range':
range_str = a
elif o == '--range_geo':
range_geo_str = a
elif o == '--ex_range':
ex_range_str = a
elif o == '--ex_range_geo':
ex_range_geo_str = a
if not tsadir:
raise Usage('No tsa directory given, -t is not optional!')
elif not os.path.isdir(tsadir):
raise Usage('No {} dir exists!'.format(tsadir))
elif not os.path.exists(os.path.join(tsadir, cumname)):
raise Usage('No {} exists in {}!'.format(cumname, tsadir))
if range_str and range_geo_str:
raise Usage(
'Both --range and --range_geo given, use either one not both!')
if ex_range_str and ex_range_geo_str:
raise Usage(
'Both --ex_range and --ex_range_geo given, use either one not both!'
)
except Usage as err:
print("\nERROR:", file=sys.stderr, end='')
print(" " + str(err.msg), file=sys.stderr)
print("\nFor help, use -h or --help.\n", file=sys.stderr)
return 2
#%% Directory and file setting
tsadir = os.path.abspath(tsadir)
cumfile = os.path.join(tsadir, cumname)
resultsdir = os.path.join(tsadir, 'results')
infodir = os.path.join(tsadir, 'info')
inparmfile = os.path.join(infodir, '13parameters.txt')
if not os.path.exists(inparmfile): ## for old LiCSBAS13 <v1.2
inparmfile = os.path.join(infodir, 'parameters.txt')
outparmfile = os.path.join(infodir, '16parameters.txt')
pixsp_r = float(io_lib.get_param_par(inparmfile, 'pixel_spacing_r'))
pixsp_a = float(io_lib.get_param_par(inparmfile, 'pixel_spacing_a'))
x_stddev = filtwidth_km * 1000 / pixsp_r
y_stddev = filtwidth_km * 1000 / pixsp_a
wavelength = float(io_lib.get_param_par(inparmfile, 'wavelength')) #meter
coef_r2m = -wavelength / 4 / np.pi * 1000 #rad -> mm, positive is -LOS
if wavelength > 0.2: ## L-band
cycle = 1.5 # 2pi/cycle for comparison png
elif wavelength <= 0.2: ## C-band
cycle = 3 # 3*2pi/cycle for comparison png
filtincdir = os.path.join(tsadir, '16filt_increment')
if os.path.exists(filtincdir): shutil.rmtree(filtincdir)
os.mkdir(filtincdir)
filtcumdir = os.path.join(tsadir, '16filt_cum')
if os.path.exists(filtcumdir): shutil.rmtree(filtcumdir)
os.mkdir(filtcumdir)
cumffile = os.path.join(tsadir, 'cum_filt.h5')
vconstfile = os.path.join(resultsdir, 'vintercept.filt')
velfile = os.path.join(resultsdir, 'vel.filt')
cumh5 = h5.File(cumfile, 'r')
if os.path.exists(cumffile): os.remove(cumffile)
cumfh5 = h5.File(cumffile, 'w')
#%% Dates
imdates = cumh5['imdates'][()].astype(str).tolist()
cum_org = cumh5['cum']
n_im, length, width = cum_org.shape
if n_para > n_im:
n_para = n_im
### Calc dt in year
imdates_dt = ([
dt.datetime.strptime(imd, '%Y%m%d').toordinal() for imd in imdates
])
dt_cum = np.float32((np.array(imdates_dt) - imdates_dt[0]) / 365.25)
### Save dates and other info into cumf
cumfh5.create_dataset('imdates', data=cumh5['imdates'])
cumfh5.create_dataset('gap', data=cumh5['gap'], compression=compress)
if 'bperp' in list(cumh5.keys()): ## if dummy, no bperp field
cumfh5.create_dataset('bperp', data=cumh5['bperp'])
else:
print('No bperp field found in {}. Skip.'.format(cumname))
if 'corner_lat' in list(cumh5.keys()):
lat1 = float(cumh5['corner_lat'][()])
lon1 = float(cumh5['corner_lon'][()])
dlat = float(cumh5['post_lat'][()])
dlon = float(cumh5['post_lon'][()])
cumfh5.create_dataset('corner_lat', data=cumh5['corner_lat'])
cumfh5.create_dataset('corner_lon', data=cumh5['corner_lon'])
cumfh5.create_dataset('post_lat', data=cumh5['post_lat'])
cumfh5.create_dataset('post_lon', data=cumh5['post_lon'])
else: ## not geocoded
print('No latlon field found in {}. Skip.'.format(cumname))
### temporal filter width
if not filtwidth_yr and filtwidth_yr != 0:
filtwidth_yr = dt_cum[-1] / (n_im - 1) * 3 ## avg interval*3
### hgt_linear
if hgt_linearflag:
hgtfile = os.path.join(resultsdir, 'hgt')
if not os.path.exists(hgtfile):
print('\nERROR: No hgt file exist in results dir!',
file=sys.stderr)
print('--hgt_linear option cannot be used.', file=sys.stderr)
return 2
hgt = io_lib.read_img(hgtfile, length, width)
hgt[np.isnan(hgt)] = 0
else:
hgt = []
#%% --range[_geo] and --ex_range[_geo]
if range_str: ## --range
if not tools_lib.read_range(range_str, width, length):
print('\nERROR in {}\n'.format(range_str), file=sys.stderr)
return 1
else:
x1, x2, y1, y2 = tools_lib.read_range(range_str, width, length)
range_str = '{}:{}/{}:{}'.format(x1, x2, y1, y2)
elif range_geo_str: ## --range_geo
if not tools_lib.read_range_geo(range_geo_str, width, length, lat1,
dlat, lon1, dlon):
print('\nERROR in {}\n'.format(range_geo_str), file=sys.stderr)
return 1
else:
x1, x2, y1, y2 = tools_lib.read_range_geo(range_geo_str, width,
length, lat1, dlat, lon1,
dlon)
range_str = '{}:{}/{}:{}'.format(x1, x2, y1, y2)
if ex_range_str: ## --ex_range
if not tools_lib.read_range(ex_range_str, width, length):
print('\nERROR in {}\n'.format(ex_range_str), file=sys.stderr)
return 1
else:
ex_x1, ex_x2, ex_y1, ex_y2 = tools_lib.read_range(
ex_range_str, width, length)
ex_range_str = '{}:{}/{}:{}'.format(ex_x1, ex_x2, ex_y1, ex_y2)
elif ex_range_geo_str: ## --ex_range_geo
if not tools_lib.read_range_geo(ex_range_geo_str, width, length, lat1,
dlat, lon1, dlon):
print('\nERROR in {}\n'.format(ex_range_geo_str), file=sys.stderr)
return 1
else:
ex_x1, ex_x2, ex_y1, ex_y2 = tools_lib.read_range_geo(
ex_range_geo_str, width, length, lat1, dlat, lon1, dlon)
ex_range_str = '{}:{}/{}:{}'.format(ex_x1, ex_x2, ex_y1, ex_y2)
### Make range mask
mask2 = np.ones((length, width), dtype=np.float32)
if range_str:
mask2 = mask2 * np.nan
mask2[y1:y2, x1:x2] = 1
if ex_range_str:
mask2[ex_y1:ex_y2, ex_x1:ex_x2] = np.nan
#%% Display settings
print('')
print('Size of image (w,l) : {0}, {1}'.format(width, length))
print('Number of images : {}'.format(n_im))
print('Width of filter in space : {} km ({:.1f}x{:.1f} pixel)'.format(
filtwidth_km, x_stddev, y_stddev))
print('Width of filter in time : {:.3f} yr ({} days)'.format(
filtwidth_yr, int(filtwidth_yr * 365.25)))
print('Deramp flag : {}'.format(deg_ramp), flush=True)
print('hgt-linear flag : {}'.format(hgt_linearflag), flush=True)
if hgt_linearflag:
print('Minimum hgt : {} m'.format(hgt_min), flush=True)
print('Maximum hgt : {} m'.format(hgt_max), flush=True)
if range_str:
print('Range : {}'.format(range_str), flush=True)
if ex_range_str:
print('Excluded range : {}'.format(ex_range_str), flush=True)
with open(outparmfile, "w") as f:
print('filtwidth_km: {}'.format(filtwidth_km), file=f)
print('filtwidth_xpixels: {:.1f}'.format(x_stddev), file=f)
print('filtwidth_ypixels: {:.1f}'.format(y_stddev), file=f)
print('filtwidth_yr: {:.3f}'.format(filtwidth_yr), file=f)
print('filtwidth_day: {}'.format(int(filtwidth_yr * 365.25)), file=f)
print('deg_ramp: {}'.format(deg_ramp), file=f)
print('hgt_linear: {}'.format(hgt_linearflag * 1), file=f)
print('hgt_min: {}'.format(hgt_min), file=f)
print('hgt_max: {}'.format(hgt_max), file=f)
print('range: {}'.format(range_str), file=f)
print('ex_range: {}'.format(ex_range_str), file=f)
#%% Load Mask (1: unmask, 0: mask, nan: no cum data)
if maskflag:
maskfile = os.path.join(resultsdir, 'mask')
mask = io_lib.read_img(maskfile, length, width)
mask[mask == 0] = np.nan ## 0->nan
else:
mask = np.ones((length, width), dtype=np.float32)
mask[np.isnan(cum_org[0, :, :])] = np.nan
#%% First, deramp and hgt-linear if indicated
cum = np.zeros((cum_org.shape), dtype=np.float32) * np.nan
if not deg_ramp and not hgt_linearflag:
cum = cum_org[()]
else:
if not deg_ramp:
print('\nEstimate hgt-linear component,', flush=True)
elif not hgt_linearflag:
print('\nDeramp ifgs with the degree of {},'.format(deg_ramp),
flush=True)
else:
print('\nDeramp ifgs with the degree of {} and hgt-linear,'.format(
deg_ramp),
flush=True)
print('with {} parallel processing...'.format(n_para), flush=True)
args = [(i, cum_org[i, :, :]) for i in range(n_im)]
### Parallel processing
p = q.Pool(n_para)
_result = np.array(p.map(deramp_wrapper, args), dtype=object)
p.close()
del args
models = _result[:, 1]
for i in range(n_im):
cum[i, :, :] = _result[i, 0]
del _result
### Only for output increment png files
print(
'\nCreate png for increment with {} parallel processing...'.format(
n_para),
flush=True)
args = [(i, cum_org[i, :, :], cum_org[i - 1, :, :])
for i in range(1, n_im)]
p = q.Pool(n_para)
p.map(deramp_wrapper2, args)
p.close()
del args
#%% Filter each image
cum_filt = cumfh5.require_dataset('cum', (n_im, length, width),
dtype=np.float32,
compression=compress)
print('\nHP filter in time, LP filter in space,', flush=True)
print('with {} parallel processing...'.format(n_para), flush=True)
### Parallel processing
p = q.Pool(n_para)
# cum_filt[:, :, :] = np.array(p.map(filter_wrapper, range(n_im)), dtype=np.float32)
cum_filt[:, :, :] = np.array(
p.map(filter_wrapper,
[(i, cum, filtwidth_yr, dt_cum, x_stddev, y_stddev, mask,
coef_r2m, cycle, filtcumdir, imdates, cmap_wrap, filtwidth_km)
for i in range(n_im)]),
dtype=np.float32)
p.close()
### Only for output increment png files
print('\nCreate png for increment with {} parallel processing...'.format(
n_para),
flush=True)
args = [(i, cum_filt[i, :, :] - cum_filt[i - 1, :, :])
for i in range(1, n_im)]
p = q.Pool(n_para)
p.map(filter_wrapper2,
[(i, cum, coef_r2m, cycle, mask, filtincdir, imdates, cmap_wrap)
for i in args])
p.close()
del args
#%% Find stable ref point
print('\nFind stable reference point...', flush=True)
### Compute RMS of time series with reference to all points
sumsq_cum_wrt_med = np.zeros((length, width), dtype=np.float32)
for i in range(n_im):
sumsq_cum_wrt_med = sumsq_cum_wrt_med + (
cum_filt[i, :, :] - np.nanmedian(cum_filt[i, :, :]))**2
rms_cum_wrt_med = np.sqrt(sumsq_cum_wrt_med / n_im) * mask
### Mask by minimum n_gap
n_gap = io_lib.read_img(os.path.join(resultsdir, 'n_gap'), length, width)
min_n_gap = np.nanmin(n_gap)
mask_n_gap = np.float32(n_gap == min_n_gap)
mask_n_gap[mask_n_gap == 0] = np.nan
rms_cum_wrt_med = rms_cum_wrt_med * mask_n_gap
### Find stable reference
min_rms = np.nanmin(rms_cum_wrt_med)
refy1s, refx1s = np.where(rms_cum_wrt_med == min_rms)
refy1s, refx1s = refy1s[0], refx1s[0] ## Only first index
refy2s, refx2s = refy1s + 1, refx1s + 1
print('Selected ref: {}:{}/{}:{}'.format(refx1s, refx2s, refy1s, refy2s),
flush=True)
### Rerferencing cumulative displacement to new stable ref
for i in range(n_im):
cum_filt[i, :, :] = cum_filt[i, :, :] - cum[i, refy1s, refx1s]
### Save image
rms_cum_wrt_med_file = os.path.join(infodir, '16rms_cum_wrt_med')
with open(rms_cum_wrt_med_file, 'w') as f:
rms_cum_wrt_med.tofile(f)
pngfile = os.path.join(infodir, '16rms_cum_wrt_med.png')
plot_lib.make_im_png(rms_cum_wrt_med, pngfile, cmap_noise_r,
'RMS of cum wrt median (mm)',
np.nanpercentile(rms_cum_wrt_med, 1),
np.nanpercentile(rms_cum_wrt_med, 99))
### Save ref
cumfh5.create_dataset('refarea',
data='{}:{}/{}:{}'.format(refx1s, refx2s, refy1s,
refy2s))
refsfile = os.path.join(infodir, '16ref.txt')
with open(refsfile, 'w') as f:
print('{}:{}/{}:{}'.format(refx1s, refx2s, refy1s, refy2s), file=f)
if 'corner_lat' in list(cumh5.keys()): ## Geocoded
### Make ref_stable.kml
reflat = lat1 + dlat * refy1s
reflon = lon1 + dlon * refx1s
io_lib.make_point_kml(reflat, reflon,
os.path.join(infodir, '16ref.kml'))
#%% Calc filtered velocity
print('\nCalculate velocity of filtered time series...', flush=True)
G = np.stack((np.ones_like(dt_cum), dt_cum), axis=1)
vconst = np.zeros((length, width), dtype=np.float32) * np.nan
vel = np.zeros((length, width), dtype=np.float32) * np.nan
bool_unnan = ~np.isnan(cum_filt[0, :, :]).reshape(length,
width) ## not all nan
cum_pt = cum_filt[()].reshape(n_im, length *
width)[:, bool_unnan.ravel()] #n_im x n_pt
n_pt_unnan = bool_unnan.sum()
vconst_tmp = np.zeros((n_pt_unnan), dtype=np.float32) * np.nan
vel_tmp = np.zeros((n_pt_unnan), dtype=np.float32) * np.nan
bool_nonan_pt = np.all(~np.isnan(cum_pt), axis=0)
### First, calc vel point without nan
print(' First, solving {0:6}/{1:6}th points with full cum...'.format(
bool_nonan_pt.sum(), n_pt_unnan),
flush=True)
vconst_tmp[bool_nonan_pt], vel_tmp[bool_nonan_pt] = np.linalg.lstsq(
G, cum_pt[:, bool_nonan_pt], rcond=None)[0]
### Next, calc vel point with nan
print(' Next, solving {0:6}/{1:6}th points with nan in cum...'.format(
(~bool_nonan_pt).sum(), n_pt_unnan),
flush=True)
mask_cum = ~np.isnan(cum_pt[:, ~bool_nonan_pt])
vconst_tmp[~bool_nonan_pt], vel_tmp[
~bool_nonan_pt] = inv_lib.censored_lstsq_slow(
G, cum_pt[:, ~bool_nonan_pt], mask_cum)
vconst[bool_unnan], vel[bool_unnan] = vconst_tmp, vel_tmp
vconst.tofile(vconstfile)
vel.tofile(velfile)
if maskflag:
vel_mskd = vel * mask
vconst_mskd = vconst * mask
vconst_mskd.tofile(vconstfile + '.mskd')
vel_mskd.tofile(velfile + '.mskd')
cumfh5.create_dataset('vel',
data=vel.reshape(length, width),
compression=compress)
cumfh5.create_dataset('vintercept',
data=vconst.reshape(length, width),
compression=compress)
#%% Add info and close
cumfh5.create_dataset('filtwidth_yr', data=filtwidth_yr)
cumfh5.create_dataset('filtwidth_km', data=filtwidth_km)
cumfh5.create_dataset('deramp_flag', data=deg_ramp)
cumfh5.create_dataset('hgt_linear_flag', data=hgt_linearflag * 1)
cumh5.close()
cumfh5.close()
#%% Output image
pngfile = os.path.join(resultsdir, 'vel.filt.png')
title = 'Filtered velocity (mm/yr)'
vmin = np.nanpercentile(vel, 1)
vmax = np.nanpercentile(vel, 99)
plot_lib.make_im_png(vel, pngfile, cmap_vel, title, vmin, vmax)
## vintercept
pngfile = os.path.join(resultsdir, 'vintercept.filt.png')
title = 'Intercept of filtered velocity (mm)'
vmin = np.nanpercentile(vconst, 1)
vmax = np.nanpercentile(vconst, 99)
plot_lib.make_im_png(vconst, pngfile, cmap_vel, title, vmin, vmax)
if maskflag:
pngfile = os.path.join(resultsdir, 'vel.filt.mskd.png')
title = 'Masked filtered velocity (mm/yr)'
vmin = np.nanpercentile(vel_mskd, 1)
vmax = np.nanpercentile(vel_mskd, 99)
plot_lib.make_im_png(vel_mskd, pngfile, cmap_vel, title, vmin, vmax)
## vintercept
pngfile = os.path.join(resultsdir, 'vintercept.filt.mskd.png')
title = 'Masked intercept of filtered velocity (mm)'
vmin = np.nanpercentile(vconst_mskd, 1)
vmax = np.nanpercentile(vconst_mskd, 99)
plot_lib.make_im_png(vconst_mskd, pngfile, cmap_vel, title, vmin, vmax)
#%% Finish
elapsed_time = time.time() - start
hour = int(elapsed_time / 3600)
minite = int(np.mod((elapsed_time / 60), 60))
sec = int(np.mod(elapsed_time, 60))
print("\nElapsed time: {0:02}h {1:02}m {2:02}s".format(hour, minite, sec))
print('\n{} Successfully finished!!\n'.format(os.path.basename(argv[0])))
print('Output: {}\n'.format(os.path.relpath(cumffile)), flush=True)
print('To plot the time-series:')
print('LiCSBAS_plot_ts.py -i "{}" &\n'.format(os.path.relpath(cumffile)))
def main(argv=None):
#%% Check argv
if argv == None:
argv = sys.argv
start = time.time()
ver = "1.3.1"
date = 20210107
author = "Y. Morishita"
print("\n{} ver{} {} {}".format(os.path.basename(argv[0]), ver, date,
author),
flush=True)
print("{} {}".format(os.path.basename(argv[0]), ' '.join(argv[1:])),
flush=True)
#%% Set default
imd_s = []
imd_e = []
cumfile = 'cum_filt.h5'
outfile = []
refarea = []
refarea_geo = []
maskfile = []
vstdflag = False
sinflag = False
pngflag = False
cmap = SCM.roma.reversed()
#%% Read options
try:
try:
opts, args = getopt.getopt(
argv[1:], "hs:e:i:o:r:",
["help", "vstd", "sin", "png", "ref_geo=", "mask="])
except getopt.error as msg:
raise Usage(msg)
for o, a in opts:
if o == '-h' or o == '--help':
print(__doc__)
return 0
elif o == '-s':
imd_s = a
elif o == '-e':
imd_e = a
elif o == '-i':
cumfile = a
elif o == '-o':
outfile = a
elif o == '-r':
refarea = a
elif o == '--ref_geo':
refarea_geo = a
elif o == '--vstd':
vstdflag = True
elif o == '--sin':
sinflag = True
elif o == '--mask':
maskfile = a
elif o == '--png':
pngflag = True
if not os.path.exists(cumfile):
raise Usage('No {} exists! Use -i option.'.format(cumfile))
except Usage as err:
print("\nERROR:", file=sys.stderr, end='')
print(" " + str(err.msg), file=sys.stderr)
print("\nFor help, use -h or --help.\n", file=sys.stderr)
return 2
#%% Read info
### Read cumfile
cumh5 = h5.File(cumfile, 'r')
imdates = cumh5['imdates'][()].astype(str).tolist()
cum = cumh5['cum']
n_im_all, length, width = cum.shape
if refarea:
if not tools_lib.read_range(refarea, width, length):
print('\nERROR in {}\n'.format(refarea), file=sys.stderr)
return 2
else:
refx1, refx2, refy1, refy2 = tools_lib.read_range(
refarea, width, length)
elif refarea_geo:
lat1 = float(cumh5['corner_lat'][()])
lon1 = float(cumh5['corner_lon'][()])
dlat = float(cumh5['post_lat'][()])
dlon = float(cumh5['post_lon'][()])
if not tools_lib.read_range_geo(refarea_geo, width, length, lat1, dlat,
lon1, dlon):
print('\nERROR in {}\n'.format(refarea_geo), file=sys.stderr)
return 2
else:
refx1, refx2, refy1, refy2 = tools_lib.read_range_geo(
refarea_geo, width, length, lat1, dlat, lon1, dlon)
else:
refarea = cumh5['refarea'][()]
refx1, refx2, refy1, refy2 = [
int(s) for s in re.split('[:/]', refarea)
]
#%% Setting
### Dates
if not imd_s:
imd_s = imdates[0]
if not imd_e:
imd_e = imdates[-1]
### mask
if maskfile:
mask = io_lib.read_img(maskfile, length, width)
mask[mask == 0] = np.nan
suffix_mask = '.mskd'
else:
mask = np.ones((length, width), dtype=np.float32)
suffix_mask = ''
### Find date index if not exist in imdates
if not imd_s in imdates:
for imd in imdates:
if int(imd) >= int(imd_s): ## First larger one than imd_s
imd_s = imd
break
if not imd_e in imdates:
for imd in imdates[::-1]:
if int(imd) <= int(imd_e): ## Last smaller one than imd_e
imd_e = imd
break
ix_s = imdates.index(imd_s)
ix_e = imdates.index(imd_e) + 1 #+1 for python custom
n_im = ix_e - ix_s
### Calc dt in year
imdates_dt = ([
dt.datetime.strptime(imd, '%Y%m%d').toordinal()
for imd in imdates[ix_s:ix_e]
])
dt_cum = np.float32((np.array(imdates_dt) - imdates_dt[0]) / 365.25)
### Outfile
if not outfile:
outfile = '{}_{}.vel{}'.format(imd_s, imd_e, suffix_mask)
#%% Display info
print('')
print('Start date : {}'.format(imdates[ix_s]))
print('End date : {}'.format(imdates[ix_e - 1]))
print('# of images : {}'.format(n_im))
print('Ref area : {}:{}/{}:{}'.format(refx1, refx2, refy1, refy2))
print('')
#%% Calc velocity and vstd
vconst = np.zeros((length, width), dtype=np.float32) * np.nan
vel = np.zeros((length, width), dtype=np.float32) * np.nan
### Read cum data
cum_tmp = cum[ix_s:ix_e, :, :] * mask
cum_ref = np.nanmean(cum[ix_s:ix_e, refy1:refy2, refx1:refx2] *
mask[refy1:refy2, refx1:refx2],
axis=(1, 2))
if np.all(np.isnan(cum_ref)):
print('\nERROR: Ref area has only NaN value!\n', file=sys.stderr)
return 2
cum_tmp = cum_tmp - cum_ref[:, np.newaxis, np.newaxis]
### Extract not nan points
bool_allnan = np.all(np.isnan(cum_tmp), axis=0)
cum_tmp = cum_tmp.reshape(n_im, length *
width)[:, ~bool_allnan.ravel()].transpose()
if not sinflag: ## Linear function
print('Calc velocity...')
vel[~bool_allnan], vconst[~bool_allnan] = inv_lib.calc_vel(
cum_tmp, dt_cum)
vel.tofile(outfile)
else: ## Linear+sin function
print('Calc velocity and annual components...')
amp = np.zeros((length, width), dtype=np.float32) * np.nan
delta_t = np.zeros((length, width), dtype=np.float32) * np.nan
ampfile = outfile.replace('vel', 'amp')
dtfile = outfile.replace('vel', 'dt')
vel[~bool_allnan], vconst[~bool_allnan], amp[~bool_allnan], delta_t[
~bool_allnan] = inv_lib.calc_velsin(cum_tmp, dt_cum, imdates[0])
vel.tofile(outfile)
amp.tofile(ampfile)
delta_t.tofile(dtfile)
### vstd
if vstdflag:
vstdfile = outfile.replace('vel', 'vstd')
vstd = np.zeros((length, width), dtype=np.float32) * np.nan
print('Calc vstd...')
vstd[~bool_allnan] = inv_lib.calc_velstd_withnan(cum_tmp, dt_cum)
vstd.tofile(vstdfile)
#%% Make png if specified
if pngflag:
pngfile = outfile + '.png'
title = 'n_im: {}, Ref X/Y {}:{}/{}:{}'.format(n_im, refx1, refx2,
refy1, refy2)
plot_lib.make_im_png(vel, pngfile, cmap, title)
if sinflag:
amp_max = np.nanpercentile(amp, 99)
plot_lib.make_im_png(amp,
ampfile + '.png',
'viridis',
title,
vmax=amp_max)
plot_lib.make_im_png(delta_t, dtfile + '.png', 'hsv', title)
if vstdflag:
plot_lib.make_im_png(vstd, vstdfile + '.png', cmap, title)
#%% Finish
elapsed_time = time.time() - start
hour = int(elapsed_time / 3600)
minite = int(np.mod((elapsed_time / 60), 60))
sec = int(np.mod(elapsed_time, 60))
print("\nElapsed time: {0:02}h {1:02}m {2:02}s".format(hour, minite, sec))
print('\n{} Successfully finished!!\n'.format(os.path.basename(argv[0])))
print('Output: {}'.format(outfile), flush=True)
if vstdflag:
print(' {}'.format(vstdfile), flush=True)
print('')
def main(argv=None):
#%% Check argv
if argv == None:
argv = sys.argv
start = time.time()
ver = 1.2
date = 20200703
author = "Y. Morishita"
print("\n{} ver{} {} {}".format(os.path.basename(argv[0]), ver, date,
author),
flush=True)
print("{} {}".format(os.path.basename(argv[0]), ' '.join(argv[1:])),
flush=True)
#%% Set default
imd_s = []
cumfile = 'cum_filt.h5'
outfile = []
imd_m = []
refarea = []
refarea_geo = []
maskfile = []
pngflag = False
#%% Read options
try:
try:
opts, args = getopt.getopt(argv[1:], "hd:i:o:m:r:",
["help", "png", "ref_geo=", "mask="])
except getopt.error as msg:
raise Usage(msg)
for o, a in opts:
if o == '-h' or o == '--help':
print(__doc__)
return 0
elif o == '-d':
imd_s = a
elif o == '-i':
cumfile = a
elif o == '-o':
outfile = a
elif o == '-m':
imd_m = a
elif o == '-r':
refarea = a
elif o == '--ref_geo':
refarea_geo = a
elif o == '--mask':
maskfile = a
elif o == '--png':
pngflag = True
if not imd_s:
raise Usage('No date given, -d is not optional!')
elif not os.path.exists(cumfile):
raise Usage('No {} exists! Use -i option.'.format(cumfile))
except Usage as err:
print("\nERROR:", file=sys.stderr, end='')
print(" " + str(err.msg), file=sys.stderr)
print("\nFor help, use -h or --help.\n", file=sys.stderr)
return 2
#%% Read info
### Read cumfile
cumh5 = h5.File(cumfile, 'r')
imdates = cumh5['imdates'][()].astype(str).tolist()
cum = cumh5['cum']
n_im, length, width = cum.shape
### Reference area
if refarea:
if not tools_lib.read_range(refarea, width, length):
print('\nERROR in {}\n'.format(refarea), file=sys.stderr)
return 2
else:
refx1, refx2, refy1, refy2 = tools_lib.read_range(
refarea, width, length)
elif refarea_geo:
lat1 = float(cumh5['corner_lat'][()])
lon1 = float(cumh5['corner_lon'][()])
dlat = float(cumh5['post_lat'][()])
dlon = float(cumh5['post_lon'][()])
if not tools_lib.read_range_geo(refarea_geo, width, length, lat1, dlat,
lon1, dlon):
print('\nERROR in {}\n'.format(refarea_geo), file=sys.stderr)
return 2
else:
refx1, refx2, refy1, refy2 = tools_lib.read_range_geo(
refarea_geo, width, length, lat1, dlat, lon1, dlon)
else:
refarea = cumh5['refarea'][()]
refx1, refx2, refy1, refy2 = [
int(s) for s in re.split('[:/]', refarea)
]
### Master (reference) date
if not imd_m:
imd_m = imdates[0]
### mask
if maskfile:
mask = io_lib.read_img(maskfile, length, width)
mask[mask == 0] = np.nan
else:
mask = np.ones((length, width), dtype=np.float32)
### Check date
if not imd_s in imdates:
print('\nERROR: No date of {} exist in {}!'.format(imd_s, cumfile),
file=sys.stderr)
return 2
if not imd_m in imdates:
print('\nERROR: No date of {} exist in {}!'.format(imd_m, cumfile),
file=sys.stderr)
return 2
ix_s = imdates.index(imd_s)
ix_m = imdates.index(imd_m)
### Outfile
if not outfile:
outfile = '{}_{}.cum'.format(imd_m, imd_s)
#%% Make flt
cum_s = cum[ix_s, :, :]
cum_m = cum[ix_m, :, :]
cum_dif = cum_s - cum_m
cum_dif = cum_dif - np.nanmean(cum_dif[refy1:refy2, refx1:refx2])
cum_dif = cum_dif * mask
cum_dif.tofile(outfile)
#%% Make png if specified
if pngflag:
pngfile = outfile + '.png'
title = '{} (Ref X/Y {}:{}/{}:{})'.format(outfile, refx1, refx2, refy1,
refy2)
plot_lib.make_im_png(cum_dif, pngfile, 'jet', title)
#%% Finish
elapsed_time = time.time() - start
hour = int(elapsed_time / 3600)
minite = int(np.mod((elapsed_time / 60), 60))
sec = int(np.mod(elapsed_time, 60))
print("\nElapsed time: {0:02}h {1:02}m {2:02}s".format(hour, minite, sec))
print('\n{} Successfully finished!!\n'.format(os.path.basename(argv[0])))
print('Output: {}\n'.format(outfile), flush=True)
