def go(self):
# If we are applying a vector mask then calculate it (once as it is the same for all tiles)
mask_vector = None
if self.mask_vector_apply:
mask_vector = get_mask_vector_for_cell(self.x, self.y, self.mask_vector_file, self.mask_vector_layer,
self.mask_vector_feature)
for tile in self.get_tiles():
pqa = (self.mask_pqa_apply and DatasetType.PQ25 in tile.datasets) and tile.datasets[DatasetType.PQ25] or None
wofs = (self.mask_wofs_apply and DatasetType.WATER in tile.datasets) and tile.datasets[DatasetType.WATER] or None
dataset = self.dataset_type in tile.datasets and tile.datasets[self.dataset_type] or None
if not dataset:
_log.info("No applicable [%s] dataset for [%s]", self.dataset_type.name, tile.end_datetime)
continue
if self.list_only:
_log.info("Would retrieve dataset [%s]", tile.datasets[self.dataset_type].path)
continue
filename = os.path.join(self.output_directory,
get_dataset_filename(dataset,
output_format=self.output_format,
mask_pqa_apply=self.mask_pqa_apply,
mask_wofs_apply=self.mask_wofs_apply,
mask_vector_apply=self.mask_vector_apply))
retrieve_data(tile.x, tile.y, tile.end_datetime, dataset, self.bands, pqa, self.mask_pqa_mask,
wofs, self.mask_wofs_mask, filename, self.output_format, self.overwrite, mask=mask_vector)
def go(self):
# If we are applying a vector mask then calculate it (once as it is the same for all tiles)
mask = None
if self.mask_vector_apply:
mask = get_mask_vector_for_cell(self.x, self.y,
self.mask_vector_file, self.mask_vector_layer, self.mask_vector_feature)
for tile in self.get_tiles():
if self.list_only:
_log.info("Would retrieve datasets [%s]", "\n".join([tile.datasets[t].path for t in
intersection(self.dataset_types,
[d for d in tile.datasets])]))
continue
pqa = (self.mask_pqa_apply and DatasetType.PQ25 in tile.datasets) and tile.datasets[DatasetType.PQ25] or None
wofs = (self.mask_wofs_apply and DatasetType.WATER in tile.datasets) and tile.datasets[DatasetType.WATER] or None
for dataset_type in self.dataset_types:
if dataset_type not in tile.datasets:
_log.debug("No [%s] dataset present for [%s] - skipping", dataset_type.name, tile.end_datetime)
continue
dataset = tile.datasets[dataset_type]
filename = os.path.join(self.output_directory,
get_dataset_filename(dataset,
output_format=self.output_format,
mask_pqa_apply=self.mask_pqa_apply,
mask_wofs_apply=self.mask_wofs_apply,
mask_vector_apply=self.mask_vector_apply))
retrieve_data(tile.x, tile.y, tile.end_datetime, dataset, pqa, self.mask_pqa_mask,
wofs, self.mask_wofs_mask, filename, self.output_format, self.overwrite, mask=mask)
def go(self):
# If we are applying a vector mask then calculate it not (once as it is the same for all tiles)
mask_vector = None
if self.mask_vector_apply:
mask_vector = get_mask_vector_for_cell(self.x, self.y, self.mask_vector_file, self.mask_vector_layer, self.mask_vector_feature)
# TODO move the dicking around with bands stuff into utils?
import gdal
if self.output_format == OutputFormat.GEOTIFF:
driver = gdal.GetDriverByName("GTiff")
elif self.output_format == OutputFormat.ENVI:
driver = gdal.GetDriverByName("ENVI")
assert driver
tiles = self.get_tiles()
_log.info("Total tiles found [%d]", len(tiles))
for band_name in self.bands:
_log.info("Creating stack for band [%s]", band_name)
relevant_tiles = []
for tile in tiles:
dataset = self.dataset_type in tile.datasets and tile.datasets[self.dataset_type] or None
if not dataset:
_log.info("No applicable [%s] dataset for [%s]", self.dataset_type.name, tile.end_datetime)
continue
if band_name in [b.name for b in tile.datasets[self.dataset_type].bands]:
relevant_tiles.append(tile)
_log.info("Total tiles for band [%s] is [%d]", band_name, len(relevant_tiles))
filename = None
raster = None
metadata = None
data_type = ndv = None
for index, tile in enumerate(relevant_tiles, start=1):
dataset = tile.datasets[self.dataset_type]
assert dataset
band = dataset.bands[band_name]
assert band
if self.list_only:
_log.info("Would stack band [%s] from dataset [%s]", band.name, dataset.path)
continue
pqa = (self.mask_pqa_apply and DatasetType.PQ25 in tile.datasets) and tile.datasets[DatasetType.PQ25] or None
wofs = (self.mask_wofs_apply and DatasetType.WATER in tile.datasets) and tile.datasets[DatasetType.WATER] or None
if self.dataset_type not in tile.datasets:
_log.debug("No [%s] dataset present for [%s] - skipping", self.dataset_type.name, tile.end_datetime)
continue
if not filename:
filename = os.path.join(self.output_directory,
get_dataset_band_stack_filename(satellites=self.satellites,
dataset_type=self.dataset_type,
band=band,
x=self.x, y=self.y,
acq_min=self.acq_min, acq_max=self.acq_max,
season=self.season,
output_format=self.output_format,
mask_pqa_apply=self.mask_pqa_apply,
mask_wofs_apply=self.mask_wofs_apply,
mask_vector_apply=self.mask_vector_apply))
_log.info("Stacking [%s] band data from [%s] with PQA [%s] and PQA mask [%s] and WOFS [%s] and WOFS mask [%s] to band [%d] of [%s]",
band.name, dataset.path,
pqa and pqa.path or "",
pqa and self.mask_pqa_mask or "",
wofs and wofs.path or "", wofs and self.mask_wofs_mask or "",
index,
filename)
if not metadata:
metadata = get_dataset_metadata(dataset)
assert metadata
if not data_type:
data_type = get_dataset_datatype(dataset)
assert data_type
if not ndv:
ndv = get_dataset_ndv(dataset)
assert ndv
if not raster:
if self.output_format == OutputFormat.GEOTIFF:
raster = driver.Create(filename, metadata.shape[0], metadata.shape[1], len(relevant_tiles), data_type, options=["TILED=YES", "BIGTIFF=YES", "COMPRESS=LZW", "INTERLEAVE=BAND"])
elif self.output_format == OutputFormat.ENVI:
raster = driver.Create(filename, metadata.shape[0], metadata.shape[1], len(relevant_tiles), data_type, options=["INTERLEAVE=BSQ"])
assert raster
# NOTE: could do this without the metadata!!
raster.SetGeoTransform(metadata.transform)
raster.SetProjection(metadata.projection)
raster.SetMetadata(self.generate_raster_metadata())
mask = mask_vector
if pqa:
mask = get_mask_pqa(pqa, self.mask_pqa_mask, mask=mask)
if wofs:
mask = get_mask_wofs(wofs, self.mask_wofs_mask, mask=mask)
# _log.info("mask[3500,3500] is [%s]", mask[3500, 3500])
data = get_dataset_data_masked(dataset, mask=mask, ndv=ndv)
_log.debug("data is [%s]", data)
# _log.info("data[3500,3500] is [%s]", data[band][3500, 3500])
stack_band = raster.GetRasterBand(index)
stack_band.SetDescription(os.path.basename(dataset.path))
stack_band.SetNoDataValue(ndv)
stack_band.WriteArray(data[band])
stack_band.ComputeStatistics(True)
stack_band.SetMetadata({"ACQ_DATE": format_date(tile.end_datetime), "SATELLITE": dataset.satellite.name})
stack_band.FlushCache()
del stack_band
if raster:
raster.FlushCache()
raster = None
del raster
