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geotiff.py
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geotiff.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2015-2019 Satpy developers
#
# This file is part of satpy.
#
# satpy is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
#
# satpy is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
# A PARTICULAR PURPOSE. See the GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along with
# satpy. If not, see <http://www.gnu.org/licenses/>.
"""GeoTIFF writer objects for creating GeoTIFF files from `DataArray` objects."""
import logging
import numpy as np
# make sure we have rasterio even though we don't use it until trollimage
# saves the image
import rasterio # noqa
from satpy.writers import ImageWriter
LOG = logging.getLogger(__name__)
class GeoTIFFWriter(ImageWriter):
"""Writer to save GeoTIFF images.
Basic example from Scene:
>>> scn.save_datasets(writer='geotiff')
By default the writer will use the :class:`~satpy.writers.Enhancer` class to
linear stretch the data (see :doc:`../enhancements`).
To get Un-enhanced images ``enhance=False`` can be specified which will
write a geotiff with the data type of the dataset. The fill value defaults
to the the datasets ``"_FillValue"`` attribute if not ``None`` and no value is
passed to ``fill_value`` for integer data. In case of float data if ``fill_value``
is not passed NaN will be used. If a geotiff with a
certain datatype is desired for example 32 bit floating point geotiffs:
>>> scn.save_datasets(writer='geotiff', dtype=np.float32, enhance=False)
To add custom metadata use `tags`:
>>> scn.save_dataset(dataset_name, writer='geotiff',
... tags={'offset': 291.8, 'scale': -0.35})
Images are tiled by default. To create striped TIFF files ``tiled=False`` can be specified:
>>> scn.save_datasets(writer='geotiff', tiled=False)
For performance tips on creating geotiffs quickly and making them smaller
see the :ref:`faq`.
"""
GDAL_OPTIONS = ("tfw",
"rpb",
"rpctxt",
"interleave",
"tiled",
"blockxsize",
"blockysize",
"nbits",
"compress",
"num_threads",
"predictor",
"discard_lsb",
"sparse_ok",
"jpeg_quality",
"jpegtablesmode",
"zlevel",
"photometric",
"alpha",
"profile",
"bigtiff",
"pixeltype",
"copy_src_overviews",
# COG driver options (different from GTiff above)
"blocksize",
"resampling",
"quality",
"level",
"overview_resampling",
"warp_resampling",
"overview_compress",
"overview_quality",
"overview_predictor",
"tiling_scheme",
"zoom_level_strategy",
"target_srs",
"res",
"extent",
"aligned_levels",
"add_alpha",
)
def __init__(self, dtype=None, tags=None, **kwargs):
"""Init the writer."""
super(GeoTIFFWriter, self).__init__(default_config_filename="writers/geotiff.yaml", **kwargs)
self.dtype = self.info.get("dtype") if dtype is None else dtype
self.tags = self.info.get("tags", None) if tags is None else tags
if self.tags is None:
self.tags = {}
elif not isinstance(self.tags, dict):
# if it's coming from a config file
self.tags = dict(tuple(x.split("=")) for x in self.tags.split(","))
# GDAL specific settings
self.gdal_options = {}
for k in self.GDAL_OPTIONS:
if k in kwargs or k in self.info:
self.gdal_options[k] = kwargs.get(k, self.info[k])
@classmethod
def separate_init_kwargs(cls, kwargs):
"""Separate the init keyword args."""
# FUTURE: Don't pass Scene.save_datasets kwargs to init and here
init_kwargs, kwargs = super(GeoTIFFWriter, cls).separate_init_kwargs(
kwargs)
for kw in ['dtype', 'tags']:
if kw in kwargs:
init_kwargs[kw] = kwargs.pop(kw)
return init_kwargs, kwargs
def save_image(self, img, filename=None, dtype=None, fill_value=None,
compute=True, keep_palette=False, cmap=None, tags=None,
overviews=None, overviews_minsize=256,
overviews_resampling=None, include_scale_offset=False,
scale_offset_tags=None, driver=None, tiled=True, **kwargs):
"""Save the image to the given ``filename`` in geotiff_ format.
Note for faster output and reduced memory usage the ``rasterio``
library must be installed. This writer currently falls back to
using ``gdal`` directly, but that will be deprecated in the future.
Args:
img (xarray.DataArray): Data to save to geotiff.
filename (str): Filename to save the image to. Defaults to
``filename`` passed during writer creation. Unlike the
creation ``filename`` keyword argument, this filename does not
get formatted with data attributes.
dtype (numpy.dtype): Numpy data type to save the image as.
Defaults to 8-bit unsigned integer (``np.uint8``) or the data
type of the data to be saved if ``enhance=False``. If the
``dtype`` argument is provided during writer creation then
that will be used as the default.
fill_value (int or float): Value to use where data values are
NaN/null. If this is specified in the writer configuration
file that value will be used as the default.
compute (bool): Compute dask arrays and save the image
immediately. If ``False`` then the return value can be passed
to :func:`~satpy.writers.compute_writer_results` to do the
computation. This is useful when multiple images may share
input calculations where dask can benefit from not repeating
them multiple times. Defaults to ``True`` in the writer by
itself, but is typically passed as ``False`` by callers where
calculations can be combined.
keep_palette (bool): Save palette/color table to geotiff.
To be used with images that were palettized with the
"palettize" enhancement. Setting this to ``True`` will cause
the colormap of the image to be written as a "color table" in
the output geotiff and the image data values will represent
the index values in to that color table. By default, this will
use the colormap used in the "palettize" operation.
See the ``cmap`` option for other options. This option defaults
to ``False`` and palettized images will be converted to RGB/A.
cmap (trollimage.colormap.Colormap or None): Colormap to save
as a color table in the output geotiff. See ``keep_palette``
for more information. Defaults to the palette of the provided
``img`` object. The colormap's range should be set to match
the index range of the palette
(ex. `cmap.set_range(0, len(colors))`).
tags (dict): Extra metadata to store in geotiff.
overviews (list): The reduction factors of the overviews to include
in the image, eg::
scn.save_datasets(overviews=[2, 4, 8, 16])
If provided as an empty list, then levels will be
computed as powers of two until the last level has less
pixels than `overviews_minsize`.
Default is to not add overviews.
overviews_minsize (int): Minimum number of pixels for the smallest
overview size generated when `overviews` is auto-generated.
Defaults to 256.
overviews_resampling (str): Resampling method
to use when generating overviews. This must be the name of an
enum value from :class:`rasterio.enums.Resampling` and
only takes effect if the `overviews` keyword argument is
provided. Common values include `nearest` (default),
`bilinear`, `average`, and many others. See the rasterio
documentation for more information.
scale_offset_tags (Tuple[str, str]): If set, include inclusion of
scale and offset in the GeoTIFF headers in the GDALMetaData
tag. The value of this argument should be a keyword argument
``(scale_label, offset_label)``, for example, ``("scale",
"offset")``, indicating the labels to be used.
include_scale_offset (deprecated, bool): Deprecated.
Use ``scale_offset_tags=("scale", "offset")`` to include scale
and offset tags.
tiled (bool): For performance this defaults to ``True``.
Pass ``False`` to created striped TIFF files.
.. _geotiff: http://trac.osgeo.org/geotiff/
"""
filename = filename or self.get_filename(**img.data.attrs)
gdal_options = self._get_gdal_options(kwargs)
if fill_value is None:
# fall back to fill_value from configuration file
fill_value = self.info.get('fill_value')
dtype = dtype if dtype is not None else self.dtype
if dtype is None and self.enhancer is not False:
dtype = np.uint8
elif dtype is None:
dtype = img.data.dtype.type
if "alpha" in kwargs:
raise ValueError(
"Keyword 'alpha' is automatically set based on 'fill_value' "
"and should not be specified")
if np.issubdtype(dtype, np.floating):
if img.mode != "L":
raise ValueError("Image must be in 'L' mode for floating "
"point geotiff saving")
if fill_value is None:
LOG.debug("Alpha band not supported for float geotiffs, "
"setting fill value to 'NaN'")
fill_value = np.nan
if keep_palette and cmap is None and img.palette is not None:
from satpy.enhancements import create_colormap
cmap = create_colormap({'colors': img.palette})
cmap.set_range(0, len(img.palette) - 1)
if tags is None:
tags = {}
tags.update(self.tags)
return img.save(filename, fformat='tif', driver=driver,
fill_value=fill_value,
dtype=dtype, compute=compute,
keep_palette=keep_palette, cmap=cmap,
tags=tags, include_scale_offset_tags=include_scale_offset,
scale_offset_tags=scale_offset_tags,
overviews=overviews,
overviews_resampling=overviews_resampling,
overviews_minsize=overviews_minsize,
tiled=tiled,
**gdal_options)
def _get_gdal_options(self, kwargs):
# Update global GDAL options with these specific ones
gdal_options = self.gdal_options.copy()
for k in kwargs:
if k in self.GDAL_OPTIONS:
gdal_options[k] = kwargs[k]
return gdal_options