def get_tile_csv_filename(self): acq_min = workflow.format_date(self.acq_min) acq_max = workflow.format_date(self.acq_max) # TODO other distinguishing characteristics (e.g. dataset types) return os.path.join( self.output_directory, "tiles_{satellites}_{x_min:03d}_{x_max:03d}_{y_min:04d}_{y_max:04d}_{acq_min}_{acq_max}.csv".format( satellites=get_satellite_string(self.satellites), x_min=self.x, x_max=self.x, y_min=self.y, y_max=self.y, acq_min=acq_min, acq_max=acq_max ))
def output(self): from datacube.api.workflow import format_date from datacube.api.utils import get_satellite_string acq_min = format_date(self.acq_min) acq_max = format_date(self.acq_max) filename = "{satellites}_OUTPUT_{x:03d}_{y:04d}_{acq_min}_{acq_max}.tif".format( satellites=get_satellite_string(self.satellites), x=self.x, y=self.y, acq_min=acq_min, acq_max=acq_max ) filename = os.path.join(self.output_directory, filename) return luigi.LocalTarget(filename)
def output(self): from datacube.api.workflow import format_date from datacube.api.utils import get_satellite_string satellites = get_satellite_string(self.satellites) acq_min = format_date(self.acq_min) acq_max = format_date(self.acq_max) filename = os.path.join( self.output_directory, "ARG25_REL_{x:03d}_{y:04d}_{acq_min}_{acq_max}_model_test.tif". format(x=self.x, y=self.y, acq_min=acq_min, acq_max=acq_max)) return luigi.LocalTarget(filename)
def get_statistic_filename(self, statistic, ulx, uly, lrx, lry): from datacube.api.utils import get_satellite_string from datacube.api.workflow import format_date # if statistic in [Statistic.PERCENTILE_25, Statistic.PERCENTILE_50, Statistic.PERCENTILE_75, # Statistic.PERCENTILE_90, Statistic.PERCENTILE_95]: # statistic_name = "PERCENTILE" # else: # statistic_name = statistic.name statistic_name = statistic.name filename = "{satellites}_WETNESS_{statistic}_{x:03d}_{y:04d}_{acq_min}_{acq_max}_{ulx:04d}_{uly:04d}_{lrx:04d}_{lry:04d}.npy".format( satellites=get_satellite_string(self.satellites), statistic=statistic_name, x=self.x, y=self.y, acq_min=format_date(self.acq_min), acq_max=format_date(self.acq_max), ulx=ulx, uly=uly, lrx=lrx, lry=lry) return os.path.join(self.output_directory, filename)
def output(self): from datacube.api.workflow import format_date from datacube.api.utils import get_satellite_string acq_min = format_date(self.acq_min) acq_max = format_date(self.acq_max) dataset_type_string = { DatasetType.ARG25: "NBAR", DatasetType.PQ25: "PQA", DatasetType.FC25: "FC", DatasetType.WATER: "WATER", DatasetType.NDVI: "NDVI", DatasetType.EVI: "EVI", DatasetType.NBR: "NBR", DatasetType.TCI: "TCI", DatasetType.DSM: "DSM" }[self.dataset_type] if self.mask_pqa_apply and self.mask_wofs_apply: dataset_type_string += "_WITH_PQA_WATER" elif self.mask_pqa_apply: dataset_type_string += "_WITH_PQA" elif self.mask_wofs_apply: dataset_type_string += + "_WITH_WATER" ext = { OutputFormat.GEOTIFF: "tif", OutputFormat.ENVI: "dat" }[self.output_format] filename = "{satellites}_{dataset_type}_STACK_{band}_{x:03d}_{y:04d}_{acq_min}_{acq_max}.{ext}".format( satellites=get_satellite_string(self.satellites), dataset_type=dataset_type_string, band=self.band, x=self.x, y=self.y, acq_min=acq_min, acq_max=acq_max, ext=ext) filename = os.path.join(self.output_directory, filename) return luigi.LocalTarget(filename)
def output(self): from datacube.api.workflow import format_date from datacube.api.utils import get_satellite_string satellites = get_satellite_string(self.satellites) acq_min = format_date(self.acq_min) acq_max = format_date(self.acq_max) filename = os.path.join(self.output_directory, "ARG25_REL_{x:03d}_{y:04d}_{acq_min}_{acq_max}_model_test.tif".format( x=self.x, y=self.y, acq_min=acq_min, acq_max=acq_max)) return luigi.LocalTarget(filename)
def get_dataset_filename(self, dataset): from datacube.api.workflow import format_date from datacube.api.utils import get_satellite_string satellites = get_satellite_string(self.satellites) acq_min = format_date(self.acq_min) acq_max = format_date(self.acq_max) return os.path.join(self.output_directory, "{satellites}_{dataset}_{x:03d}_{y:04d}_{acq_min}_{acq_max}.tif".format( satellites=satellites, dataset=dataset, x=self.x, y=self.y, acq_min=acq_min, acq_max=acq_max))
def output(self): from datacube.api.workflow import format_date from datacube.api.utils import get_satellite_string acq_min = format_date(self.acq_min) acq_max = format_date(self.acq_max) dataset_type_string = { DatasetType.ARG25: "NBAR", DatasetType.PQ25: "PQA", DatasetType.FC25: "FC", DatasetType.WATER: "WATER", DatasetType.NDVI: "NDVI", DatasetType.EVI: "EVI", DatasetType.NBR: "NBR", DatasetType.TCI: "TCI", DatasetType.DSM: "DSM", }[self.dataset_type] if self.mask_pqa_apply and self.mask_wofs_apply: dataset_type_string += "_WITH_PQA_WATER" elif self.mask_pqa_apply: dataset_type_string += "_WITH_PQA" elif self.mask_wofs_apply: dataset_type_string += +"_WITH_WATER" ext = {OutputFormat.GEOTIFF: "tif", OutputFormat.ENVI: "dat"}[self.output_format] filename = "{satellites}_{dataset_type}_STACK_{band}_{x:03d}_{y:04d}_{acq_min}_{acq_max}.{ext}".format( satellites=get_satellite_string(self.satellites), dataset_type=dataset_type_string, band=self.band, x=self.x, y=self.y, acq_min=acq_min, acq_max=acq_max, ext=ext, ) filename = os.path.join(self.output_directory, filename) return luigi.LocalTarget(filename)
def output(self): from datacube.api.workflow import format_date from datacube.api.utils import get_satellite_string acq_min = format_date(self.acq_min) acq_max = format_date(self.acq_max) filename = "{satellites}_OUTPUT_{x:03d}_{y:04d}_{acq_min}_{acq_max}_{ulx:04d}_{uly:04d}_{lrx:04d}_{lry:04d}.tif".format( satellites=get_satellite_string(self.satellites), x=self.x, y=self.y, acq_min=acq_min, acq_max=acq_max, ulx=self.x_offset, uly=self.y_offset, lrx=(self.x_offset + self.chunk_size_x), lry=(self.y_offset + self.chunk_size_y) ) filename = os.path.join(self.output_directory, filename) return luigi.LocalTarget(filename)