def warp(ctx, files, output, driver, like, dst_crs, dimensions, src_bounds,
dst_bounds, res, resampling, src_nodata, dst_nodata, threads,
check_invert_proj, force_overwrite, creation_options,
target_aligned_pixels):
"""
Warp a raster dataset.
If a template raster is provided using the --like option, the
coordinate reference system, affine transform, and dimensions of
that raster will be used for the output. In this case --dst-crs,
--bounds, --res, and --dimensions options are not applicable and
an exception will be raised.
\b
$ rio warp input.tif output.tif --like template.tif
The output coordinate reference system may be either a PROJ.4 or
EPSG:nnnn string,
\b
--dst-crs EPSG:4326
--dst-crs '+proj=longlat +ellps=WGS84 +datum=WGS84'
or a JSON text-encoded PROJ.4 object.
\b
--dst-crs '{"proj": "utm", "zone": 18, ...}'
If --dimensions are provided, --res and --bounds are not applicable and an
exception will be raised.
Resolution is calculated based on the relationship between the
raster bounds in the target coordinate system and the dimensions,
and may produce rectangular rather than square pixels.
\b
$ rio warp input.tif output.tif --dimensions 100 200 \\
> --dst-crs EPSG:4326
If --bounds are provided, --res is required if --dst-crs is provided
(defaults to source raster resolution otherwise).
\b
$ rio warp input.tif output.tif \\
> --bounds -78 22 -76 24 --res 0.1 --dst-crs EPSG:4326
"""
output, files = resolve_inout(files=files,
output=output,
force_overwrite=force_overwrite)
resampling = Resampling[resampling] # get integer code for method
if not len(res):
# Click sets this as an empty tuple if not provided
res = None
else:
# Expand one value to two if needed
res = (res[0], res[0]) if len(res) == 1 else res
if target_aligned_pixels:
if not res:
raise click.BadParameter(
'--target-aligned-pixels requires a specified resolution')
if src_bounds or dst_bounds:
raise click.BadParameter(
'--target-aligned-pixels cannot be used with '
'--src-bounds or --dst-bounds')
# Check invalid parameter combinations
if like:
invalid_combos = (dimensions, dst_bounds, dst_crs, res)
if any(p for p in invalid_combos if p is not None):
raise click.BadParameter(
"--like cannot be used with any of --dimensions, --bounds, "
"--dst-crs, or --res")
elif dimensions:
invalid_combos = (dst_bounds, res)
if any(p for p in invalid_combos if p is not None):
raise click.BadParameter(
"--dimensions cannot be used with --bounds or --res")
with ctx.obj['env']:
setenv(CHECK_WITH_INVERT_PROJ=check_invert_proj)
with rasterio.open(files[0]) as src:
l, b, r, t = src.bounds
out_kwargs = src.profile.copy()
out_kwargs['driver'] = driver
# Sort out the bounds options.
if src_bounds and dst_bounds:
raise click.BadParameter(
"--src-bounds and destination --bounds may not be "
"specified simultaneously.")
if like:
with rasterio.open(like) as template_ds:
dst_crs = template_ds.crs
dst_transform = template_ds.transform
dst_height = template_ds.height
dst_width = template_ds.width
elif dst_crs is not None:
try:
dst_crs = CRS.from_string(dst_crs)
except ValueError as err:
raise click.BadParameter(str(err),
param='dst_crs',
param_hint='dst_crs')
if dimensions:
# Calculate resolution appropriate for dimensions
# in target.
dst_width, dst_height = dimensions
try:
xmin, ymin, xmax, ymax = transform_bounds(
src.crs, dst_crs, *src.bounds)
except CRSError as err:
raise click.BadParameter(str(err),
param='dst_crs',
param_hint='dst_crs')
dst_transform = Affine(
(xmax - xmin) / float(dst_width), 0, xmin, 0,
(ymin - ymax) / float(dst_height), ymax)
elif src_bounds or dst_bounds:
if not res:
raise click.BadParameter(
"Required when using --bounds.",
param='res',
param_hint='res')
if src_bounds:
try:
xmin, ymin, xmax, ymax = transform_bounds(
src.crs, dst_crs, *src_bounds)
except CRSError as err:
raise click.BadParameter(str(err),
param='dst_crs',
param_hint='dst_crs')
else:
xmin, ymin, xmax, ymax = dst_bounds
dst_transform = Affine(res[0], 0, xmin, 0, -res[1], ymax)
dst_width = max(int(ceil((xmax - xmin) / res[0])), 1)
dst_height = max(int(ceil((ymax - ymin) / res[1])), 1)
elif target_aligned_pixels:
try:
xmin, ymin, xmax, ymax = transform_bounds(
src.crs, dst_crs, *src.bounds)
except CRSError as err:
raise click.BadParameter(str(err),
param='dst_crs',
param_hint='dst_crs')
xmin = floor(xmin / res[0]) * res[0]
xmax = ceil(xmax / res[0]) * res[0]
ymin = floor(ymin / res[1]) * res[1]
ymax = ceil(ymax / res[1]) * res[1]
dst_transform = Affine(res[0], 0, xmin, 0, -res[1], ymax)
dst_width = max(int(ceil((xmax - xmin) / res[0])), 1)
dst_height = max(int(ceil((ymax - ymin) / res[1])), 1)
else:
try:
if src.transform.is_identity and src.gcps:
src_crs = src.gcps[1]
kwargs = {'gcps': src.gcps[0]}
else:
src_crs = src.crs
kwargs = src.bounds._asdict()
dst_transform, dst_width, dst_height = calcdt(
src_crs,
dst_crs,
src.width,
src.height,
resolution=res,
**kwargs)
except CRSError as err:
raise click.BadParameter(str(err),
param='dst_crs',
param_hint='dst_crs')
elif dimensions:
# Same projection, different dimensions, calculate resolution.
dst_crs = src.crs
dst_width, dst_height = dimensions
dst_transform = Affine((r - l) / float(dst_width), 0, l, 0,
(b - t) / float(dst_height), t)
elif src_bounds or dst_bounds:
# Same projection, different dimensions and possibly
# different resolution.
if not res:
res = (src.transform.a, -src.transform.e)
dst_crs = src.crs
xmin, ymin, xmax, ymax = (src_bounds or dst_bounds)
dst_transform = Affine(res[0], 0, xmin, 0, -res[1], ymax)
dst_width = max(int(ceil((xmax - xmin) / res[0])), 1)
dst_height = max(int(ceil((ymax - ymin) / res[1])), 1)
elif res:
# Same projection, different resolution.
dst_crs = src.crs
dst_transform = Affine(res[0], 0, l, 0, -res[1], t)
dst_width = max(int(ceil((r - l) / res[0])), 1)
dst_height = max(int(ceil((t - b) / res[1])), 1)
else:
dst_crs = src.crs
dst_transform = src.transform
dst_width = src.width
dst_height = src.height
# If src_nodata is not None, update the dst metadata NODATA
# value to src_nodata (will be overridden by dst_nodata if it is not None
if src_nodata is not None:
# Update the dst nodata value
out_kwargs.update({'nodata': src_nodata})
# Validate a manually set destination NODATA value
# against the input datatype.
if dst_nodata is not None:
if src_nodata is None and src.meta['nodata'] is None:
raise click.BadParameter(
"--src-nodata must be provided because dst-nodata is not None"
)
else:
# Update the dst nodata value
out_kwargs.update({'nodata': dst_nodata})
# When the bounds option is misused, extreme values of
# destination width and height may result.
if (dst_width < 0 or dst_height < 0 or dst_width > MAX_OUTPUT_WIDTH
or dst_height > MAX_OUTPUT_HEIGHT):
raise click.BadParameter(
"Invalid output dimensions: {0}.".format(
(dst_width, dst_height)))
out_kwargs.update({
'crs': dst_crs,
'transform': dst_transform,
'width': dst_width,
'height': dst_height
})
# Adjust block size if necessary.
if ('blockxsize' in out_kwargs
and dst_width < out_kwargs['blockxsize']):
del out_kwargs['blockxsize']
if ('blockysize' in out_kwargs
and dst_height < out_kwargs['blockysize']):
del out_kwargs['blockysize']
out_kwargs.update(**creation_options)
with rasterio.open(output, 'w', **out_kwargs) as dst:
reproject(source=rasterio.band(src,
list(range(1, src.count + 1))),
destination=rasterio.band(
dst, list(range(1, src.count + 1))),
src_transform=src.transform,
src_crs=src.crs,
src_nodata=src_nodata,
dst_transform=out_kwargs['transform'],
dst_crs=out_kwargs['crs'],
dst_nodata=dst_nodata,
resampling=resampling,
num_threads=threads)
# 'no_defs': True,
# 'proj': 'aea',
# 'units': 'm',
# 'x_0': 0,
# 'y_0': 0}
shp_df.to_crs(from_epsg(4326))
#%%
import rasterio as rio
from rasterio.warp import (reproject,RESAMPLING, transform_bounds,calculate_default_transform as calcdt)
tifPath = 'D:\data\MOD09GQ\h28v05_AllWDays_percent.tiff'
# tifPath = './output2/h28v05_after.tiff'
src = rio.open(tifPath)
affine, width, height = calcdt(src.crs, shp_df.crs, src.width, src.height, *src.bounds)
kwargs = src.meta.copy()
kwargs.update({
'crs': shp_df.crs,
'transform': affine,
'affine': affine,
'width': width,
'height': height,
'geotransform':(0,1,0,0,0,-1) ,
'driver': 'GTiff'
})
newtiffname = 'D:\Data\MOD09GQ/test.tiff'
dst = rio.open(newtiffname, 'w', **kwargs)
for i in range(1, src.count + 1):
def warp(ctx, files, output, driver, like, dst_crs, dimensions, src_bounds,
dst_bounds, res, resampling, src_nodata, dst_nodata, threads,
check_invert_proj, overwrite, creation_options,
target_aligned_pixels):
"""
Warp a raster dataset.
If a template raster is provided using the --like option, the
coordinate reference system, affine transform, and dimensions of
that raster will be used for the output. In this case --dst-crs,
--bounds, --res, and --dimensions options are not applicable and
an exception will be raised.
\b
$ rio warp input.tif output.tif --like template.tif
The output coordinate reference system may be either a PROJ.4 or
EPSG:nnnn string,
\b
--dst-crs EPSG:4326
--dst-crs '+proj=longlat +ellps=WGS84 +datum=WGS84'
or a JSON text-encoded PROJ.4 object.
\b
--dst-crs '{"proj": "utm", "zone": 18, ...}'
If --dimensions are provided, --res and --bounds are not applicable and an
exception will be raised.
Resolution is calculated based on the relationship between the
raster bounds in the target coordinate system and the dimensions,
and may produce rectangular rather than square pixels.
\b
$ rio warp input.tif output.tif --dimensions 100 200 \\
> --dst-crs EPSG:4326
If --bounds are provided, --res is required if --dst-crs is provided
(defaults to source raster resolution otherwise).
\b
$ rio warp input.tif output.tif \\
> --bounds -78 22 -76 24 --res 0.1 --dst-crs EPSG:4326
"""
output, files = resolve_inout(
files=files, output=output, overwrite=overwrite)
resampling = Resampling[resampling] # get integer code for method
if not len(res):
# Click sets this as an empty tuple if not provided
res = None
else:
# Expand one value to two if needed
res = (res[0], res[0]) if len(res) == 1 else res
if target_aligned_pixels:
if not res:
raise click.BadParameter(
'--target-aligned-pixels requires a specified resolution')
if src_bounds or dst_bounds:
raise click.BadParameter(
'--target-aligned-pixels cannot be used with '
'--src-bounds or --dst-bounds')
# Check invalid parameter combinations
if like:
invalid_combos = (dimensions, dst_bounds, dst_crs, res)
if any(p for p in invalid_combos if p is not None):
raise click.BadParameter(
"--like cannot be used with any of --dimensions, --bounds, "
"--dst-crs, or --res")
elif dimensions:
invalid_combos = (dst_bounds, res)
if any(p for p in invalid_combos if p is not None):
raise click.BadParameter(
"--dimensions cannot be used with --bounds or --res")
with ctx.obj['env']:
setenv(CHECK_WITH_INVERT_PROJ=check_invert_proj)
with rasterio.open(files[0]) as src:
l, b, r, t = src.bounds
out_kwargs = src.profile.copy()
out_kwargs['driver'] = driver
# Sort out the bounds options.
if src_bounds and dst_bounds:
raise click.BadParameter(
"--src-bounds and destination --bounds may not be "
"specified simultaneously.")
if like:
with rasterio.open(like) as template_ds:
dst_crs = template_ds.crs
dst_transform = template_ds.transform
dst_height = template_ds.height
dst_width = template_ds.width
elif dst_crs is not None:
try:
dst_crs = CRS.from_string(dst_crs)
except ValueError as err:
raise click.BadParameter(
str(err), param='dst_crs', param_hint='dst_crs')
if dimensions:
# Calculate resolution appropriate for dimensions
# in target.
dst_width, dst_height = dimensions
try:
xmin, ymin, xmax, ymax = transform_bounds(
src.crs, dst_crs, *src.bounds)
except CRSError as err:
raise click.BadParameter(
str(err), param='dst_crs', param_hint='dst_crs')
dst_transform = Affine(
(xmax - xmin) / float(dst_width),
0, xmin, 0,
(ymin - ymax) / float(dst_height),
ymax
)
elif src_bounds or dst_bounds:
if not res:
raise click.BadParameter(
"Required when using --bounds.",
param='res', param_hint='res')
if src_bounds:
try:
xmin, ymin, xmax, ymax = transform_bounds(
src.crs, dst_crs, *src_bounds)
except CRSError as err:
raise click.BadParameter(
str(err), param='dst_crs',
param_hint='dst_crs')
else:
xmin, ymin, xmax, ymax = dst_bounds
dst_transform = Affine(res[0], 0, xmin, 0, -res[1], ymax)
dst_width = max(int(ceil((xmax - xmin) / res[0])), 1)
dst_height = max(int(ceil((ymax - ymin) / res[1])), 1)
else:
try:
if src.transform.is_identity and src.gcps:
src_crs = src.gcps[1]
kwargs = {'gcps': src.gcps[0]}
else:
src_crs = src.crs
kwargs = src.bounds._asdict()
dst_transform, dst_width, dst_height = calcdt(
src_crs, dst_crs, src.width, src.height,
resolution=res, **kwargs)
except CRSError as err:
raise click.BadParameter(
str(err), param='dst_crs', param_hint='dst_crs')
elif dimensions:
# Same projection, different dimensions, calculate resolution.
dst_crs = src.crs
dst_width, dst_height = dimensions
dst_transform = Affine(
(r - l) / float(dst_width),
0, l, 0,
(b - t) / float(dst_height),
t
)
elif src_bounds or dst_bounds:
# Same projection, different dimensions and possibly
# different resolution.
if not res:
res = (src.transform.a, -src.transform.e)
dst_crs = src.crs
xmin, ymin, xmax, ymax = (src_bounds or dst_bounds)
dst_transform = Affine(res[0], 0, xmin, 0, -res[1], ymax)
dst_width = max(int(ceil((xmax - xmin) / res[0])), 1)
dst_height = max(int(ceil((ymax - ymin) / res[1])), 1)
elif res:
# Same projection, different resolution.
dst_crs = src.crs
dst_transform = Affine(res[0], 0, l, 0, -res[1], t)
dst_width = max(int(ceil((r - l) / res[0])), 1)
dst_height = max(int(ceil((t - b) / res[1])), 1)
else:
dst_crs = src.crs
dst_transform = src.transform
dst_width = src.width
dst_height = src.height
if target_aligned_pixels:
dst_transform, dst_width, dst_height = aligned_target(dst_transform, dst_width, dst_height, res)
# If src_nodata is not None, update the dst metadata NODATA
# value to src_nodata (will be overridden by dst_nodata if it is not None
if src_nodata is not None:
# Update the dst nodata value
out_kwargs.update({
'nodata': src_nodata
})
# Validate a manually set destination NODATA value
# against the input datatype.
if dst_nodata is not None:
if src_nodata is None and src.meta['nodata'] is None:
raise click.BadParameter(
"--src-nodata must be provided because dst-nodata is not None")
else:
# Update the dst nodata value
out_kwargs.update({'nodata': dst_nodata})
# When the bounds option is misused, extreme values of
# destination width and height may result.
if (dst_width < 0 or dst_height < 0 or
dst_width > MAX_OUTPUT_WIDTH or
dst_height > MAX_OUTPUT_HEIGHT):
raise click.BadParameter(
"Invalid output dimensions: {0}.".format(
(dst_width, dst_height)))
out_kwargs.update({
'crs': dst_crs,
'transform': dst_transform,
'width': dst_width,
'height': dst_height
})
# Adjust block size if necessary.
if ('blockxsize' in out_kwargs and
dst_width < out_kwargs['blockxsize']):
del out_kwargs['blockxsize']
if ('blockysize' in out_kwargs and
dst_height < out_kwargs['blockysize']):
del out_kwargs['blockysize']
out_kwargs.update(**creation_options)
with rasterio.open(output, 'w', **out_kwargs) as dst:
reproject(
source=rasterio.band(src, list(range(1, src.count + 1))),
destination=rasterio.band(
dst, list(range(1, src.count + 1))),
src_transform=src.transform,
src_crs=src.crs,
src_nodata=src_nodata,
dst_transform=out_kwargs['transform'],
dst_crs=out_kwargs['crs'],
dst_nodata=dst_nodata,
resampling=resampling,
num_threads=threads)
def calc_transform(src,
dst_crs=None,
resolution=None,
dimensions=None,
src_bounds=None,
dst_bounds=None,
target_aligned_pixels=False):
"""Output dimensions and transform for a reprojection.
Parameters
------------
src: rasterio.io.DatasetReader
Data source.
dst_crs: rasterio.crs.CRS, optional
Target coordinate reference system.
resolution: tuple (x resolution, y resolution) or float, optional
Target resolution, in units of target coordinate reference
system.
dimensions: tuple (width, height), optional
Output file size in pixels and lines.
src_bounds: tuple (xmin, ymin, xmax, ymax), optional
Georeferenced extent of output file from source bounds
(in source georeferenced units).
dst_bounds: tuple (xmin, ymin, xmax, ymax), optional
Georeferenced extent of output file from destination bounds
(in destination georeferenced units).
target_aligned_pixels: bool, optional
Align the output bounds based on the resolution.
Default is `False`.
Returns
-------
dst_crs: rasterio.crs.CRS
Output crs
transform: Affine
Output affine transformation matrix
width, height: int
Output dimensions
"""
if resolution is not None:
if isinstance(resolution, (float, int)):
resolution = (float(resolution), float(resolution))
if target_aligned_pixels:
if not resolution:
raise ValueError(
'target_aligned_pixels cannot be used without resolution')
if src_bounds or dst_bounds:
raise ValueError(
'target_aligned_pixels cannot be used with src_bounds or dst_bounds'
)
elif dimensions:
invalid_combos = (dst_bounds, resolution)
if any(p for p in invalid_combos if p is not None):
raise ValueError(
'dimensions cannot be used with dst_bounds or resolution')
if src_bounds and dst_bounds:
raise ValueError(
'src_bounds and dst_bounds may not be specified simultaneously')
if dst_crs is not None:
if dimensions:
# Calculate resolution appropriate for dimensions
# in target.
dst_width, dst_height = dimensions
bounds = src_bounds or src.bounds
xmin, ymin, xmax, ymax = transform_bounds(src.crs, dst_crs,
*bounds)
dst_transform = Affine((xmax - xmin) / float(dst_width), 0, xmin,
0, (ymin - ymax) / float(dst_height), ymax)
elif src_bounds or dst_bounds:
if not resolution:
raise ValueError(
'resolution is required when using src_bounds or dst_bounds'
)
if src_bounds:
xmin, ymin, xmax, ymax = transform_bounds(
src.crs, dst_crs, *src_bounds)
else:
xmin, ymin, xmax, ymax = dst_bounds
dst_transform = Affine(resolution[0], 0, xmin, 0, -resolution[1],
ymax)
dst_width = max(int(ceil((xmax - xmin) / resolution[0])), 1)
dst_height = max(int(ceil((ymax - ymin) / resolution[1])), 1)
else:
if src.transform.is_identity and src.gcps:
src_crs = src.gcps[1]
kwargs = {'gcps': src.gcps[0]}
else:
src_crs = src.crs
kwargs = src.bounds._asdict()
dst_transform, dst_width, dst_height = calcdt(
src_crs,
dst_crs,
src.width,
src.height,
resolution=resolution,
**kwargs)
elif dimensions:
# Same projection, different dimensions, calculate resolution.
dst_crs = src.crs
dst_width, dst_height = dimensions
l, b, r, t = src_bounds or src.bounds
dst_transform = Affine((r - l) / float(dst_width), 0, l, 0,
(b - t) / float(dst_height), t)
elif src_bounds or dst_bounds:
# Same projection, different dimensions and possibly
# different resolution.
if not resolution:
resolution = (src.transform.a, -src.transform.e)
dst_crs = src.crs
xmin, ymin, xmax, ymax = (src_bounds or dst_bounds)
dst_transform = Affine(resolution[0], 0, xmin, 0, -resolution[1], ymax)
dst_width = max(int(ceil((xmax - xmin) / resolution[0])), 1)
dst_height = max(int(ceil((ymax - ymin) / resolution[1])), 1)
elif resolution:
# Same projection, different resolution.
dst_crs = src.crs
l, b, r, t = src.bounds
dst_transform = Affine(resolution[0], 0, l, 0, -resolution[1], t)
dst_width = max(int(ceil((r - l) / resolution[0])), 1)
dst_height = max(int(ceil((t - b) / resolution[1])), 1)
else:
dst_crs = src.crs
dst_transform = src.transform
dst_width = src.width
dst_height = src.height
if target_aligned_pixels:
dst_transform, dst_width, dst_height = aligned_target(
dst_transform, dst_width, dst_height, resolution)
return dst_crs, dst_transform, dst_width, dst_height
