def test_retrieve_data_ls5_mndwi(config=None): filename = "LS5_TM_MNDWI_{x:03d}_{y:04d}_{date}.{x_offset:04d}_{y_offset:04d}.{x_size:04d}x{y_size:04d}.tif".format(x=CELL_X, y=CELL_Y, date=DATE, x_offset=X_OFFSET, y_offset=Y_OFFSET, x_size=X_SIZE, y_size=Y_SIZE) tiles = list_tiles_as_list(x=[CELL_X], y=[CELL_Y], acq_min=ACQ_LS5, acq_max=ACQ_LS5, satellites=[Satellite.LS5], dataset_types=[MNDWI_DATASET_TYPE], config=config) assert len(tiles) == 1 dataset = tiles[0].datasets[MNDWI_DATASET_TYPE] data = get_dataset_data(dataset=dataset, x=X_OFFSET, y=Y_OFFSET, x_size=X_SIZE, y_size=Y_SIZE) assert(data) _log.info("data is [%s]\n%s", numpy.shape(data), data) ndv = get_dataset_ndv(dataset) assert(is_ndv(ndv, MNDWI_NDV)) data_type = get_dataset_datatype(dataset) assert(data_type == MNDWI_DATA_TYPE) metadata = generate_dataset_metadata(x=CELL_X, y=CELL_Y, acq_dt=ACQ_LS5, dataset=dataset, bands=None, mask_pqa_apply=False, mask_pqa_mask=None, mask_wofs_apply=False, mask_wofs_mask=None) raster_create_geotiff(filename, [data[b] for b in dataset.bands], CELL_GEO_TRANSFORM, CELL_PROJECTION, ndv, data_type, dataset_metadata=metadata, band_ids=[b.name for b in dataset.bands]) assert filecmp.cmp(filename, get_test_data_path(filename))
def retrieve_data(x, y, acq_dt, dataset, band_names, pqa, pqa_masks, wofs, wofs_masks, path, output_format, overwrite=False, data_type=None, ndv=None, mask=None): _log.info("Retrieving data from [%s] bands [%s] with pq [%s] and pq mask [%s] and wofs [%s] and wofs mask [%s] to [%s] file [%s]", dataset.path, band_names, pqa and pqa.path or "", pqa and pqa_masks or "", wofs and wofs.path or "", wofs and wofs_masks or "", output_format.name, path) if os.path.exists(path) and not overwrite: _log.error("Output file [%s] exists", path) raise Exception("Output file [%s] already exists" % path) metadata = get_dataset_metadata(dataset) # mask = None if pqa: mask = get_mask_pqa(pqa, pqa_masks, mask=mask) if wofs: mask = get_mask_wofs(wofs, wofs_masks, mask=mask) bands = [] for b in dataset.bands: if b.name in band_names: bands.append(b) ndv = ndv or get_dataset_ndv(dataset) data = get_dataset_data_masked(dataset, bands=bands, mask=mask, ndv=ndv) _log.debug("data is [%s]", data) data_type = data_type or get_dataset_datatype(dataset) dataset_info = generate_raster_metadata(x, y, acq_dt, dataset, bands, pqa is not None, pqa_masks, wofs is not None, wofs_masks) band_info = [b.name for b in bands] if output_format == OutputFormat.GEOTIFF: raster_create_geotiff(path, [data[b] for b in bands], metadata.transform, metadata.projection, ndv, data_type, dataset_metadata=dataset_info, band_ids=band_info) elif output_format == OutputFormat.ENVI: raster_create_envi(path, [data[b] for b in bands], metadata.transform, metadata.projection, ndv, data_type, dataset_metadata=dataset_info, band_ids=band_info)
def test_retrieve_data_ls5_arg_with_pqa_water_mask_dry(config=None): filename = "LS5_TM_NBAR_WITH_PQA_WATER_DRY_{x:03d}_{y:04d}_{date}.{x_offset:04d}_{y_offset:04d}.{x_size:04d}x{y_size:04d}.tif".format(x=CELL_X, y=CELL_Y, date=DATE, x_offset=X_OFFSET, y_offset=Y_OFFSET, x_size=X_SIZE, y_size=Y_SIZE) tiles = list_tiles_as_list(x=[CELL_X], y=[CELL_Y], acq_min=ACQ_LS5, acq_max=ACQ_LS5, satellites=[Satellite.LS5], dataset_types=[ARG_DATASET_TYPE, PQ_DATASET_TYPE, WOFS_DATASET_TYPE], config=config) assert len(tiles) == 1 tile = tiles[0] assert ARG_DATASET_TYPE in tile.datasets dataset = tile.datasets[ARG_DATASET_TYPE] assert PQ_DATASET_TYPE in tile.datasets pqa = tile.datasets[PQ_DATASET_TYPE] assert WOFS_DATASET_TYPE in tile.datasets wofs = tile.datasets[WOFS_DATASET_TYPE] mask = get_mask_pqa(pqa, x=X_OFFSET, y=Y_OFFSET, x_size=X_SIZE, y_size=Y_SIZE) mask = get_mask_wofs(wofs, wofs_masks=[WofsMask.DRY, WofsMask.NO_DATA, WofsMask.SATURATION_CONTIGUITY, WofsMask.SEA_WATER, WofsMask.TERRAIN_SHADOW, WofsMask.HIGH_SLOPE, WofsMask.CLOUD_SHADOW, WofsMask.CLOUD], x=X_OFFSET, y=Y_OFFSET, x_size=X_SIZE, y_size=Y_SIZE, mask=mask) data = get_dataset_data_masked(dataset=dataset, x=X_OFFSET, y=Y_OFFSET, x_size=X_SIZE, y_size=Y_SIZE, mask=mask) assert(data) _log.info("data is [%s]\n%s", numpy.shape(data), data) ndv = get_dataset_ndv(dataset) assert(is_ndv(ndv, ARG_NDV)) data_type = get_dataset_datatype(dataset) assert(data_type == ARG_DATA_TYPE) metadata = generate_dataset_metadata(x=CELL_X, y=CELL_Y, acq_dt=ACQ_LS5, dataset=dataset, bands=None, mask_pqa_apply=False, mask_pqa_mask=None, mask_wofs_apply=False, mask_wofs_mask=None) raster_create_geotiff(filename, [data[b] for b in dataset.bands], CELL_GEO_TRANSFORM, CELL_PROJECTION, ndv, data_type, dataset_metadata=metadata, band_ids=[b.name for b in dataset.bands]) assert filecmp.cmp(filename, get_test_data_path(filename))