def open_gdal_masks(self, shape_file, temp_dir):
gdal_masks = {}
for mask_key, mask_name in self.TheiaMaskDict.items():
mask_file = [file for file in self.masks_folder.glob(mask_name)][0]
gdal_masks.update({mask_key: gdal.Open(mask_file.as_posix())})
if shape_file:
opt = gdal.WarpOptions(cutlineDSName=shape_file,
cropToCutline=True,
srcNodata=-9999,
dstNodata=-9999,
outputType=gdal.GDT_Int16)
for mask_key, mask_ds in gdal_masks.items():
dest_name = (temp_dir / mask_key).as_posix()
clipped_mask_ds = gdal.Warp(destNameOrDestDS=dest_name,
srcDSOrSrcDSTab=mask_ds,
options=opt)
clipped_mask_ds.FlushCache()
gdal_masks.update({mask_key: clipped_mask_ds})
return gdal_masks
def clip_bands(self, bands_to_clip, ref_band, temp_dir):
opt = gdal.WarpOptions(cutlineDSName=self.shape_file,
cropToCutline=True,
srcNodata=-9999,
dstNodata=-9999,
outputType=gdal.GDT_Float32)
for band in bands_to_clip:
if band not in self._clipped_gdal_bands and band in self.gdal_bands:
dest_name = (temp_dir / (band + '.tif')).as_posix()
self._clipped_gdal_bands.update({
band:
gdal.Warp(destNameOrDestDS=dest_name,
srcDSOrSrcDSTab=self.gdal_bands[band],
options=opt)
})
self.gdal_bands[band] = self._clipped_gdal_bands[band]
self.gdal_bands[band].FlushCache()
self._ref_band_name = ref_band
self._ref_band = self.gdal_bands[ref_band]
self.temp_dir = temp_dir
return
def open_gdal_masks(self, shape_file, temp_dir):
mask_file = [file
for file in self.masks_folder.glob('*pixel_qa.tif')][0]
gdal_mask = gdal.Open(mask_file.as_posix())
if shape_file:
opt = gdal.WarpOptions(cutlineDSName=shape_file,
cropToCutline=True,
srcNodata=-9999,
dstNodata=-9999,
outputType=gdal.GDT_Int16)
dest_name = (temp_dir / 'qa_cliped').as_posix()
clipped_mask_ds = gdal.Warp(destNameOrDestDS=dest_name,
srcDSOrSrcDSTab=gdal_mask,
options=opt)
clipped_mask_ds.FlushCache()
gdal_mask = clipped_mask_ds
return gdal_mask
def read_gdal_ds(file, shape_file, temp_dir):
"""
Read a GDAL dataset clipping it with a given shapefile, if necessary
:param file: Filepath of the GDAL file (.tif, etc.) as Pathlib
:param shape_file: file path of the shapefile
:param temp_dir: file path of the temporary directory
:return: GDAL dataset
"""
gdal_mask = gdal.Open(file.as_posix())
if gdal_mask and shape_file:
opt = gdal.WarpOptions(cutlineDSName=shape_file, cropToCutline=True,
srcNodata=-9999, dstNodata=-9999, outputType=gdal.GDT_Int16)
dest_name = (temp_dir / (file.stem + '_clipped')).as_posix()
clipped_mask_ds = gdal.Warp(destNameOrDestDS=dest_name,
srcDSOrSrcDSTab=gdal_mask,
options=opt)
clipped_mask_ds.FlushCache()
gdal_mask = clipped_mask_ds
return gdal_mask
