Finish reprojection doc.

This commit is contained in:
Sean Gillies 2014-03-08 14:49:31 -07:00
parent 161bf807c7
commit ac3a760ea7
3 changed files with 54 additions and 9 deletions

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@ -5,13 +5,54 @@ Rasterio can map the pixels of a destination raster with an associated coordinat
reference system and transform to the pixels of a source image with a different
coordinate reference system and transform. This process is known as reprojection.
Rasterio's ``rasterio.warp.reproject()`` is a very geospatial specific analog to
Rasterio's ``rasterio.warp.reproject()`` is a very geospatial-specific analog to
SciPy's ``scipy.ndimage.interpolation.geometric_transform()`` [1]_.
Result
------
The code below reprojects between two arrays, using no pre-existing GIS datasets.
``rasterio.warp.reproject()`` has two positional arguments: source and destination.
The remaining keyword arguments parameterize the reprojection transform.
https://a.tiles.mapbox.com/v3/sgillies.hfek2oko/page.html?secure=1#6/0.000/0.033
.. code-block:: python
import numpy
import rasterio
from rasterio.warp import reproject, RESAMPLING
with rasterio.drivers():
# Consider a 512 x 512 raster centered on 0 degrees E and 0 degrees N
# with each pixel covering 15".
src_shape = (512, 512)
src_transform = [-256.0/240, 1.0/240, 0.0, 256.0/240, 0.0, -1.0/240]
src_crs = {'init': 'EPSG:4326'}
source = numpy.ones(src_shape, numpy.uint8)*255
# Prepare to reproject this rasters to a 1024 x 1024 dataset in
# Web Mercator (EPSG:3857) with origin at 0.0, 0.0.
dst_shape = (1024, 1024)
dst_transform = [-237481.5, 425.0, 0.0, 237536.4, 0.0, -425.0]
dst_crs = {'init': 'EPSG:3857'}
destination = numpy.zeros(dst_shape, numpy.uint8)
reproject(
source,
destination,
src_transform=src_transform,
src_crs=src_crs,
dst_transform=dst_transform,
dst_crs=dst_crs,
resampling=RESAMPLING.nearest)
# Assert that the destination is only partly filled.
assert destination.any()
assert not destination.all()
See `examples/reproject.py <https://github.com/mapbox/rasterio/blob/master/examples/reproject.py>`__ for code that writes the destination array to a GeoTIFF file. I've
uploaded the resulting file to a Mapbox map to demonstrate that the reprojection is
correct: https://a.tiles.mapbox.com/v3/sgillies.hfek2oko/page.html?secure=1#6/0.000/0.033
References
----------
.. [1] http://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.interpolation.geometric_transform.html#scipy.ndimage.interpolation.geometric_transform

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@ -5,7 +5,7 @@ import tempfile
import numpy
import rasterio
from rasterio.warp import reproject
from rasterio.warp import reproject, RESAMPLING
tempdir = '/tmp'
tiffname = os.path.join(tempdir, 'example.tif')
@ -27,9 +27,13 @@ with rasterio.drivers():
destination = numpy.zeros(dst_shape, numpy.uint8)
reproject(
source, destination,
src_transform, src_crs,
dst_transform, dst_crs)
source,
destination,
src_transform=src_transform,
src_crs=src_crs,
dst_transform=dst_transform,
dst_crs=dst_crs,
resampling=RESAMPLING.nearest)
# Assert that the destination is only partly filled.
assert destination.any()

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@ -1,4 +1,4 @@
"""Raster warping and reprojection"""
import rasterio
from rasterio._warp import reproject
from rasterio._warp import reproject, RESAMPLING