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