def example_product(name):
if name not in PRODUCT_LIST:
return None
blue = dict(name='blue', dtype='int16', nodata=-999, units='1')
green = dict(name='green', dtype='int16', nodata=-999, units='1', aliases=['verde'])
flags = {"cloud_acca": {"bits": 10, "values": {"0": "cloud", "1": "no_cloud"}},
"contiguous": {"bits": 8, "values": {"0": False, "1": True}},
"cloud_fmask": {"bits": 11, "values": {"0": "cloud", "1": "no_cloud"}},
"nir_saturated": {"bits": 3, "values": {"0": True, "1": False}},
"red_saturated": {"bits": 2, "values": {"0": True, "1": False}},
"blue_saturated": {"bits": 0, "values": {"0": True, "1": False}},
"green_saturated": {"bits": 1, "values": {"0": True, "1": False}},
"swir1_saturated": {"bits": 4, "values": {"0": True, "1": False}},
"swir2_saturated": {"bits": 7, "values": {"0": True, "1": False}},
"cloud_shadow_acca": {"bits": 12, "values": {"0": "cloud_shadow", "1": "no_cloud_shadow"}},
"cloud_shadow_fmask": {"bits": 13, "values": {"0": "cloud_shadow", "1": "no_cloud_shadow"}}}
pixelquality = dict(name='pixelquality', dtype='int16', nodata=0, units='1',
flags_definition=flags)
result = DatasetType(example_metadata_type(),
dict(name=name, description="", metadata_type='eo', metadata={}))
result.grid_spec = GridSpec(crs=geometry.CRS('EPSG:3577'),
tile_size=(100000., 100000.),
resolution=(-25, 25))
if '_pq_' in name:
result.definition = {'name': name, 'measurements': [pixelquality]}
else:
result.definition = {'name': name, 'measurements': [blue, green]}
return result
def example_product(name):
result = DatasetType(
example_metadata_type(),
dict(name=name, description="", metadata_type='eo', metadata={}))
result.grid_spec = GridSpec(crs=geometry.CRS('EPSG:3577'),
tile_size=(100000., 100000.),
resolution=(-25, 25))
return result
