def get_los_geometry(self, geom_obj, print_msg=False):
lat, lon = self.get_stat_lat_lon(print_msg=print_msg)
# get LOS geometry
if isinstance(geom_obj, str):
# geometry file
atr = readfile.read_attribute(geom_obj)
coord = coordinate(atr, lookup_file=geom_obj)
y, x = coord.geo2radar(lat, lon, print_msg=print_msg)[0:2]
box = (x, y, x + 1, y + 1)
inc_angle = readfile.read(geom_obj,
datasetName='incidenceAngle',
box=box,
print_msg=print_msg)[0][0, 0]
az_angle = readfile.read(geom_obj,
datasetName='azimuthAngle',
box=box,
print_msg=print_msg)[0][0, 0]
head_angle = ut.azimuth2heading_angle(az_angle)
elif isinstance(geom_obj, dict):
# use mean inc/head_angle from metadata
inc_angle = ut.incidence_angle(geom_obj,
dimension=0,
print_msg=print_msg)
head_angle = float(geom_obj['HEADING'])
# for old reading of los.rdr band2 data into headingAngle directly
if (head_angle + 180.) > 45.:
head_angle = ut.azimuth2heading_angle(head_angle)
else:
raise ValueError(
'input geom_obj is neight str nor dict: {}'.format(geom_obj))
return inc_angle, head_angle
def get_incidence_angle(self, box=None):
"""Generate 2D slant range distance if missing from input template file"""
if not self.extraMetadata:
return None
if 'Y_FIRST' in self.extraMetadata.keys():
# for dataset in geo-coordinates, use contant value from INCIDENCE_ANGLE.
key = 'INCIDENCE_ANGLE'
print('geocoded input, use contant value from metadata {}'.format(key))
if key in self.extraMetadata.keys():
length = int(self.extraMetadata['LENGTH'])
width = int(self.extraMetadata['WIDTH'])
inc_angle = float(self.extraMetadata[key])
data = np.ones((length, width), dtype=np.float32) * inc_angle
else:
return None
else:
# read DEM if available for more previse calculation
if 'height' in self.dsNames:
dem = readfile.read(self.datasetDict['height'], datasetName='height')[0]
else:
dem = None
# for dataset in radar-coordinates, calculate 2D pixel-wise value from geometry
data = ut.incidence_angle(self.extraMetadata,
dem=dem,
dimension=2,
print_msg=False)
# subset
if box is not None:
data = data[box[1]:box[3], box[0]:box[2]]
return data
def get_incidence_angle(self, box=None):
if not self.extraMetadata or 'Y_FIRST' in self.extraMetadata.keys():
return None
if 'height' in self.dsNames:
dem = readfile.read(self.datasetDict['height'], datasetName='height')[0]
else:
dem = None
data = ut.incidence_angle(self.extraMetadata,
dem=dem,
dimension=2,
print_msg=False)
if box is not None:
data = data[box[1]:box[3], box[0]:box[2]]
return data
