def read_metadata(prologue, image_files):
""" Selected items from the GOES image data files (not much information in prologue).
"""
im = _xrit.read_imagedata(image_files[0])
hdr = im.data_function.data_definition
md = Metadata()
md.calibrate = _Calibrator(hdr)
md.satname = im.platform.lower()
md.product_type = 'full disc'
md.region_name = 'full disc'
#md.product_name = im.product_id
md.channel = im.product_name
#ssp = float(im.product_name[5:-1].replace('_','.'))
#if im.product_name[-1].lower() == 'w':
# ssp *= -1
ssp = im.navigation.ssp
md.sublon = ssp
md.first_pixel = 'north west'
md.data_type = -im.structure.nb
nseg = im.segment.planned_end_seg_no - im.segment.planned_start_seg_no + 1
#nseg = im.segment.total_seg_no
md.image_size = (im.structure.nc, im.structure.nl * nseg) # !!!
md.line_offset = 0
#md.time_stamp = im.time_stamp
md.production_time = im.production_time
md.calibration_unit = ""
# Calibration table
dd = []
for k in sorted(hdr.keys()):
if isinstance(k, int):
v = hdr[k]
dd.append([float(k), v])
try:
md.calibration_table = dict(
(('name', im.data_function.data_definition['_NAME']),
('unit', im.data_function.data_definition['_UNIT']),
('table', numpy.array(dd, dtype=numpy.float32))))
except KeyError:
md.calibration_table = dict(
(('unit', im.data_function.data_definition['_UNIT']),
('table', numpy.array(dd, dtype=numpy.float32))))
md.no_data_value = no_data_value
segment_size = im.structure.nl
#md.loff = im.navigation.loff + segment_size * (im.segment.seg_no - 1)
md.loff = im.navigation.loff
md.coff = im.navigation.coff
return md
def read_metadata(prologue, image_files):
""" Selected items from the GOES image data files (not much information in prologue).
"""
im = _xrit.read_imagedata(image_files[0])
hdr = im.data_function.data_definition
md = Metadata()
md.calibrate = _Calibrator(hdr)
md.satname = im.platform.lower()
md.product_type = 'full disc'
md.region_name = 'full disc'
#md.product_name = im.product_id
md.channel = im.product_name
#ssp = float(im.product_name[5:-1].replace('_','.'))
#if im.product_name[-1].lower() == 'w':
# ssp *= -1
ssp = im.navigation.ssp
md.sublon = ssp
md.first_pixel = 'north west'
md.data_type = -im.structure.nb
nseg = im.segment.planned_end_seg_no - im.segment.planned_start_seg_no + 1
#nseg = im.segment.total_seg_no
md.image_size = (im.structure.nc, im.structure.nl*nseg) # !!!
md.line_offset = 0
#md.time_stamp = im.time_stamp
md.production_time = im.production_time
md.calibration_unit = ""
# Calibration table
dd = []
for k in sorted(hdr.keys()):
if isinstance(k, int):
v = hdr[k]
dd.append([float(k), v])
try:
md.calibration_table = dict((('name', im.data_function.data_definition['_NAME']),
('unit', im.data_function.data_definition['_UNIT']),
('table', numpy.array(dd, dtype=numpy.float32))))
except KeyError:
md.calibration_table = dict((('unit', im.data_function.data_definition['_UNIT']),
('table', numpy.array(dd, dtype=numpy.float32))))
md.no_data_value = no_data_value
segment_size = im.structure.nl
#md.loff = im.navigation.loff + segment_size * (im.segment.seg_no - 1)
md.loff = im.navigation.loff
md.coff = im.navigation.coff
return md
def read_metadata(prologue, image_files):
""" Selected items from the Meteosat-7 prolog file.
"""
im = _xrit.read_imagedata(image_files[0])
fp = StringIO(prologue.data)
asc_hdr = _read_ascii_header(fp)
bin_hdr = _read_binary_header(fp, asc_hdr['ProductType'])
md = Metadata()
md.calibrate = _Calibrator(bin_hdr)
md.product_name = prologue.product_id
pf = asc_hdr['Platform']
if pf == 'M7':
pf = 'MET7'
md.satname = pf.lower()
md.channel = prologue.product_name[:4]
md.product_type = asc_hdr['ProductType']
md.region_name = 'full disc'
md.sublon = bin_hdr['ssp']
md.first_pixel = asc_hdr['FirstPixelOri']
md.data_type = bin_hdr['dtype']*8
md.no_data_value = 0
md.image_size = (int(asc_hdr['NumberOfPixels']), int(asc_hdr['NumberOfLines']))
md.line_offset = int(asc_hdr['LineOffset'])
# handle 24 hour clock
d, t = strptime(asc_hdr['Date'], "%y%m%d"), int(asc_hdr['Time'])
md.time_stamp = d + timedelta(hours=t//100, minutes=t%100)
md.production_time = strptime(asc_hdr['ProdDate'] + asc_hdr['ProdTime'], "%y%m%d%H:%M:%S")
md.calibration_unit = 'counts'
# Calibration table
md.calibration_table = dict((('name', ''),
('unit', ''),
('table', None)))
segment_size = im.structure.nl
md.loff = im.navigation.loff + segment_size * (im.segment.seg_no - 1)
md.coff = im.navigation.coff
return md
def read_metadata(prologue, image_files):
""" Selected items from the Meteosat-7 prolog file.
"""
im = _xrit.read_imagedata(image_files[0])
fp = StringIO(prologue.data)
asc_hdr = _read_ascii_header(fp)
bin_hdr = _read_binary_header(fp, asc_hdr['ProductType'])
md = Metadata()
md.calibrate = _Calibrator(bin_hdr)
md.product_name = prologue.product_id
pf = asc_hdr['Platform']
if pf == 'M7':
pf = 'MET7'
md.satname = pf.lower()
md.channel = prologue.product_name[:4]
md.product_type = asc_hdr['ProductType']
md.region_name = 'full disc'
md.sublon = bin_hdr['ssp']
md.first_pixel = asc_hdr['FirstPixelOri']
md.data_type = bin_hdr['dtype'] * 8
md.no_data_value = 0
md.image_size = (int(asc_hdr['NumberOfPixels']),
int(asc_hdr['NumberOfLines']))
md.line_offset = int(asc_hdr['LineOffset'])
# handle 24 hour clock
d, t = strptime(asc_hdr['Date'], "%y%m%d"), int(asc_hdr['Time'])
md.time_stamp = d + timedelta(hours=t // 100, minutes=t % 100)
md.production_time = strptime(asc_hdr['ProdDate'] + asc_hdr['ProdTime'],
"%y%m%d%H:%M:%S")
md.calibration_unit = 'counts'
# Calibration table
md.calibration_table = dict((('name', ''), ('unit', ''), ('table', None)))
segment_size = im.structure.nl
md.loff = im.navigation.loff + segment_size * (im.segment.seg_no - 1)
md.coff = im.navigation.coff
return md
def read_metadata(prologue, image_files, epilogue):
""" Selected items from the MSG prologue file.
"""
segment_size = 464 # number of lines in a segment
fp = StringIO(prologue.data)
hdr = read_proheader(fp)
fp = StringIO(epilogue.data)
ftr = read_epiheader(fp)
im = _xrit.read_imagedata(image_files[0])
md = Metadata()
md.calibrate = _Calibrator(hdr, im.product_name)
md.sublon = hdr["ProjectionDescription"]["LongitudeOfSSP"]
md.product_name = im.product_id
md.channel = im.product_name
if md.channel == "HRV":
md.image_size = np.array((hdr["ReferenceGridHRV"]["NumberOfLines"],
hdr["ReferenceGridHRV"]["NumberOfColumns"]))
else:
md.image_size = np.array((hdr["ReferenceGridVIS_IR"]["NumberOfLines"],
hdr["ReferenceGridVIS_IR"]["NumberOfColumns"]))
md.satname = im.platform.lower()
md.product_type = 'full disc'
md.region_name = 'full disc'
if md.channel == "HRV":
md.first_pixel = hdr["ReferenceGridHRV"]["GridOrigin"]
ns_, ew_ = md.first_pixel.split()
md.boundaries = np.array([[
ftr["LowerSouthLineActual"],
ftr["LowerNorthLineActual"],
ftr["LowerEastColumnActual"],
ftr["LowerWestColumnActual"]],
[ftr["UpperSouthLineActual"],
ftr["UpperNorthLineActual"],
ftr["UpperEastColumnActual"],
ftr["UpperWestColumnActual"]]])
md.coff = (ftr["Lower"+ew_.capitalize()+"ColumnActual"]
+ im.navigation.coff - 1)
md.loff = im.navigation.loff + segment_size * (im.segment.seg_no - 1)
else:
md.first_pixel = hdr["ReferenceGridVIS_IR"]["GridOrigin"]
ns_, ew_ = md.first_pixel.split()
md.boundaries = np.array([[
ftr["SouthernLineActual"],
ftr["NorthernLineActual"],
ftr["EasternColumnActual"],
ftr["WesternColumnActual"]]])
md.coff = im.navigation.coff
md.loff = im.navigation.loff + segment_size * (im.segment.seg_no - 1)
md.data_type = im.structure.nb
md.no_data_value = no_data_value
md.line_offset = 0
md.time_stamp = im.time_stamp
md.production_time = im.production_time
md.calibration_unit = 'counts'
return md
def read_metadata(prologue, image_files, epilogue):
""" Selected items from the MSG prologue file.
"""
segment_size = 464 # number of lines in a segment
fp = StringIO(prologue.data)
hdr = read_proheader(fp)
fp = StringIO(epilogue.data)
ftr = read_epiheader(fp)
try:
im = _xrit.read_imagedata(image_files[0])
except IndexError:
raise ReaderError("No image segments available")
md = Metadata()
md.calibrate = _Calibrator(hdr,
im.product_name,
bits_per_pixel=im.structure.nb)
md.sublon = hdr["ProjectionDescription"]["LongitudeOfSSP"]
md.product_name = im.product_id
md.channel = im.product_name
if md.channel == "HRV":
md.image_size = np.array((hdr["ReferenceGridHRV"]["NumberOfLines"],
hdr["ReferenceGridHRV"]["NumberOfColumns"]))
else:
md.image_size = np.array(
(hdr["ReferenceGridVIS_IR"]["NumberOfLines"],
hdr["ReferenceGridVIS_IR"]["NumberOfColumns"]))
md.satname = im.platform.lower()
md.satnumber = SATNUM[hdr["SatelliteDefinition"]["SatelliteId"]]
logger.debug("%s %s", md.satname, md.satnumber)
md.product_type = 'full disc'
md.region_name = 'full disc'
if md.channel == "HRV":
md.first_pixel = hdr["ReferenceGridHRV"]["GridOrigin"]
ns_, ew_ = md.first_pixel.split()
md.boundaries = np.array([[
ftr["LowerSouthLineActual"], ftr["LowerNorthLineActual"],
ftr["LowerEastColumnActual"], ftr["LowerWestColumnActual"]
],
[
ftr["UpperSouthLineActual"],
ftr["UpperNorthLineActual"],
ftr["UpperEastColumnActual"],
ftr["UpperWestColumnActual"]
]])
md.coff = (ftr["Lower" + ew_.capitalize() + "ColumnActual"] - 1 +
im.navigation.coff - 1)
md.loff = im.navigation.loff + \
segment_size * (im.segment.seg_no - 1) - 1
if (hdr["GeometricProcessing"]["EarthModel"]["TypeOfEarthModel"] < 2):
md.coff += 1.5
md.loff += 1.5
else:
md.first_pixel = hdr["ReferenceGridVIS_IR"]["GridOrigin"]
ns_, ew_ = md.first_pixel.split()
md.boundaries = np.array([[
ftr["SouthernLineActual"], ftr["NorthernLineActual"],
ftr["EasternColumnActual"], ftr["WesternColumnActual"]
]])
md.coff = im.navigation.coff - 1
md.loff = im.navigation.loff + \
segment_size * (im.segment.seg_no - 1) - 1
if (hdr["GeometricProcessing"]["EarthModel"]["TypeOfEarthModel"] < 2):
md.coff += .5
md.loff += .5
md.x_pixel_size = np.deg2rad(2.**16 / im.navigation.cfac) * MSG_HEIGHT * -1
md.y_pixel_size = np.deg2rad(2.**16 / im.navigation.lfac) * MSG_HEIGHT * -1
md.data_type = im.structure.nb
md.no_data_value = no_data_value
md.line_offset = 0
md.time_stamp = im.time_stamp
md.production_time = im.production_time
md.calibration_unit = ""
return md
def read_metadata(prologue, image_files, epilogue):
""" Selected items from the MSG prologue file.
"""
segment_size = 464 # number of lines in a segment
fp = StringIO(prologue.data)
hdr = read_proheader(fp)
fp = StringIO(epilogue.data)
ftr = read_epiheader(fp)
im = _xrit.read_imagedata(image_files[0])
md = Metadata()
md.calibrate = _Calibrator(hdr, im.product_name)
md.sublon = hdr["ProjectionDescription"]["LongitudeOfSSP"]
md.product_name = im.product_id
md.channel = im.product_name
if md.channel == "HRV":
md.image_size = np.array((hdr["ReferenceGridHRV"]["NumberOfLines"],
hdr["ReferenceGridHRV"]["NumberOfColumns"]))
else:
md.image_size = np.array(
(hdr["ReferenceGridVIS_IR"]["NumberOfLines"],
hdr["ReferenceGridVIS_IR"]["NumberOfColumns"]))
md.satname = im.platform.lower()
md.product_type = 'full disc'
md.region_name = 'full disc'
if md.channel == "HRV":
md.first_pixel = hdr["ReferenceGridHRV"]["GridOrigin"]
ns_, ew_ = md.first_pixel.split()
md.boundaries = np.array([[
ftr["LowerSouthLineActual"], ftr["LowerNorthLineActual"],
ftr["LowerEastColumnActual"], ftr["LowerWestColumnActual"]
],
[
ftr["UpperSouthLineActual"],
ftr["UpperNorthLineActual"],
ftr["UpperEastColumnActual"],
ftr["UpperWestColumnActual"]
]])
md.coff = (ftr["Lower" + ew_.capitalize() + "ColumnActual"] +
im.navigation.coff - 1)
md.loff = im.navigation.loff + segment_size * (im.segment.seg_no - 1)
else:
md.first_pixel = hdr["ReferenceGridVIS_IR"]["GridOrigin"]
ns_, ew_ = md.first_pixel.split()
md.boundaries = np.array([[
ftr["SouthernLineActual"], ftr["NorthernLineActual"],
ftr["EasternColumnActual"], ftr["WesternColumnActual"]
]])
md.coff = im.navigation.coff
md.loff = im.navigation.loff + segment_size * (im.segment.seg_no - 1)
md.data_type = im.structure.nb
md.no_data_value = no_data_value
md.line_offset = 0
md.time_stamp = im.time_stamp
md.production_time = im.production_time
md.calibration_unit = 'counts'
return md
def read_metadata(prologue, image_files, epilogue):
""" Selected items from the MSG prologue file.
"""
segment_size = 464 # number of lines in a segment
fp = StringIO(prologue.data)
hdr = read_proheader(fp)
fp = StringIO(epilogue.data)
ftr = read_epiheader(fp)
try:
im = _xrit.read_imagedata(image_files[0])
except IndexError:
raise ReaderError("No image segments available")
md = Metadata()
md.calibrate = _Calibrator(
hdr, im.product_name, bits_per_pixel=im.structure.nb)
md.sublon = hdr["ProjectionDescription"]["LongitudeOfSSP"]
md.product_name = im.product_id
md.channel = im.product_name
if md.channel == "HRV":
md.image_size = np.array((hdr["ReferenceGridHRV"]["NumberOfLines"],
hdr["ReferenceGridHRV"]["NumberOfColumns"]))
else:
md.image_size = np.array((hdr["ReferenceGridVIS_IR"]["NumberOfLines"],
hdr["ReferenceGridVIS_IR"]["NumberOfColumns"]))
md.satname = im.platform.lower()
md.satnumber = SATNUM[hdr["SatelliteDefinition"]["SatelliteId"]]
logger.debug("%s %s", md.satname, md.satnumber)
md.product_type = 'full disc'
md.region_name = 'full disc'
if md.channel == "HRV":
md.first_pixel = hdr["ReferenceGridHRV"]["GridOrigin"]
ns_, ew_ = md.first_pixel.split()
md.boundaries = np.array([[
ftr["LowerSouthLineActual"],
ftr["LowerNorthLineActual"],
ftr["LowerEastColumnActual"],
ftr["LowerWestColumnActual"]],
[ftr["UpperSouthLineActual"],
ftr["UpperNorthLineActual"],
ftr["UpperEastColumnActual"],
ftr["UpperWestColumnActual"]]])
md.coff = (ftr["Lower" + ew_.capitalize() + "ColumnActual"] - 1
+ im.navigation.coff - 1)
md.loff = im.navigation.loff + \
segment_size * (im.segment.seg_no - 1) - 1
if (hdr["GeometricProcessing"]["EarthModel"]["TypeOfEarthModel"] < 2):
md.coff += 1.5
md.loff += 1.5
else:
md.first_pixel = hdr["ReferenceGridVIS_IR"]["GridOrigin"]
ns_, ew_ = md.first_pixel.split()
md.boundaries = np.array([[
ftr["SouthernLineActual"],
ftr["NorthernLineActual"],
ftr["EasternColumnActual"],
ftr["WesternColumnActual"]]])
md.coff = im.navigation.coff - 1
md.loff = im.navigation.loff + \
segment_size * (im.segment.seg_no - 1) - 1
if (hdr["GeometricProcessing"]["EarthModel"]["TypeOfEarthModel"] < 2):
md.coff += .5
md.loff += .5
md.x_pixel_size = np.deg2rad(2.**16 / im.navigation.cfac) * MSG_HEIGHT * -1
md.y_pixel_size = np.deg2rad(2.**16 / im.navigation.lfac) * MSG_HEIGHT * -1
md.data_type = im.structure.nb
md.no_data_value = no_data_value
md.line_offset = 0
md.time_stamp = im.time_stamp
md.production_time = im.production_time
md.calibration_unit = ""
return md