def get_band_data(self,
band_index: int,
retrieve_uncertainty: bool = True) -> ObservationData:
data_set_url = self._get_data_set_url(band_index)
data_set = Open(data_set_url)
if self._reprojection is not None:
data_set = self._reprojection.reproject(data_set)
data = data_set.ReadAsArray()
mask = data > 0
data = np.where(mask, data / 10000., self._no_data_values[band_index])
if retrieve_uncertainty:
uncertainty = _get_uncertainty(data, mask)
else:
uncertainty = None
band_emulator = self._get_band_emulator(band_index)
observation_data = ObservationData(observations=data,
uncertainty=uncertainty,
mask=mask,
metadata=self._meta_data_infos,
emulator=band_emulator)
return observation_data
x1, y1 = geo2xy(gt, f1, l1)
x0, y0, x1, y1 = [int(round(x)) for x in (x0, y0, x1, y1)]
print x0, y0
print x1, y1
print x1 - x0, y1 - y0
#-------------------------------------------------------------------------------
fig, axes = plt.subplots(1, 2, figsize=(12, 6))
#-------------------------------------------------------------------------------
map_i = np.ndarray((x1 - x0, y1 - y0), order='F', dtype=np.float32)
print map_i.flags.f_contiguous
gd.ReadAsArray(x0, y0, x1 - x0, y1 - y0, buf_obj=map_i)
axes[0].imshow(np.sqrt(map_i),
extent=[l0, l1, f1, f0],
interpolation='none',
cmap='hot')
#-------------------------------------------------------------------------------
gd1 = OpenGdal('../data/eudem_dem_5deg_n50e015.tif')
gt1 = gd1.GetGeoTransform()
x0, y0 = geo2xy(gt1, f0, l0)
x1, y1 = geo2xy(gt1, f1, l1)
x0, y0, x1, y1 = [int(round(x)) for x in (x0, y0, x1, y1)]
#-------------------------------------------------------------------------------
