def write_timeseries_geotiff(ifgs, params, tsincr, pr_type):
# setup metadata for writing into result files
gt, md, wkt = get_geotiff_header_info(ifgs[0].data_path)
epochlist = algorithm.get_epochs(ifgs)[0]
for i in range(tsincr.shape[2]):
md[ifc.EPOCH_DATE] = epochlist.dates[i + 1]
md['SEQUENCE_POSITION'] = i + 1 # sequence position
data = tsincr[:, :, i]
dest = join(params[cf.OUT_DIR],
pr_type + "_" + str(epochlist.dates[i + 1]) + ".tif")
md[ifc.DATA_TYPE] = pr_type
write_output_geotiff(md, gt, wkt, data, dest, np.nan)
def _create_ifg_dict(dest_tifs, params, tiles):
"""
1. Convert ifg phase data into numpy binary files.
2. Save the preread_ifgs dict with information about the ifgs that are
later used for fast loading of Ifg files in IfgPart class
:param list dest_tifs: List of destination tifs
:param dict params: Config dictionary
:param list tiles: List of all Tile instances
:return: preread_ifgs: Dictionary containing information regarding
interferograms that are used later in workflow
:rtype: dict
"""
ifgs_dict = {}
process_tifs = mpiops.array_split(dest_tifs)
shared.save_numpy_phase(dest_tifs, tiles, params)
for d in process_tifs:
ifg = shared._prep_ifg(d, params)
ifgs_dict[d] = PrereadIfg(path=d,
nan_fraction=ifg.nan_fraction,
master=ifg.master,
slave=ifg.slave,
time_span=ifg.time_span,
nrows=ifg.nrows,
ncols=ifg.ncols,
metadata=ifg.meta_data)
ifg.close()
ifgs_dict = _join_dicts(mpiops.comm.allgather(ifgs_dict))
preread_ifgs_file = join(params[cf.TMPDIR], 'preread_ifgs.pk')
if mpiops.rank == MASTER_PROCESS:
# add some extra information that's also useful later
gt, md, wkt = shared.get_geotiff_header_info(process_tifs[0])
ifgs_dict['epochlist'] = algorithm.get_epochs(ifgs_dict)[0]
ifgs_dict['gt'] = gt
ifgs_dict['md'] = md
ifgs_dict['wkt'] = wkt
# dump ifgs_dict file for later use
cp.dump(ifgs_dict, open(preread_ifgs_file, 'wb'))
mpiops.comm.barrier()
preread_ifgs = OrderedDict(sorted(cp.load(open(preread_ifgs_file,
'rb')).items()))
log.info('Finished converting phase_data to numpy '
'in process {}'.format(mpiops.rank))
return preread_ifgs
def write_linrate_tifs(ifgs, params, res):
# log.info('Writing linrate results')
rate, error, samples = res
gt, md, wkt = get_geotiff_header_info(ifgs[0].data_path)
epochlist = algorithm.get_epochs(ifgs)[0]
dest = join(params[cf.OUT_DIR], "linrate.tif")
md[ifc.EPOCH_DATE] = epochlist.dates
md[ifc.DATA_TYPE] = ifc.LINRATE
write_output_geotiff(md, gt, wkt, rate, dest, np.nan)
dest = join(params[cf.OUT_DIR], "linerror.tif")
md[ifc.DATA_TYPE] = ifc.LINERROR
write_output_geotiff(md, gt, wkt, error, dest, np.nan)
dest = join(params[cf.OUT_DIR], "linsamples.tif")
md[ifc.DATA_TYPE] = ifc.LINSAMP
write_output_geotiff(md, gt, wkt, samples, dest, np.nan)
write_linrate_numpy_files(error, rate, samples, params)