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Fixed #31713 -- Added SpatialReference support to GDALRaster.transform().

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rico-ci 2020-06-18 14:52:02 +02:00 • committed by Mariusz Felisiak
parent 7af8f41273
commit cb0da637a6
4 changed files with 86 additions and 68 deletions
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111
tests/gis_tests/gdal_tests/test_raster.py
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@ -3,7 +3,7 @@ import shutil
import struct
import tempfile
from django.contrib.gis.gdal import GDAL_VERSION, GDALRaster
from django.contrib.gis.gdal import GDAL_VERSION, GDALRaster, SpatialReference
from django.contrib.gis.gdal.error import GDALException
from django.contrib.gis.gdal.raster.band import GDALBand
from django.contrib.gis.shortcuts import numpy
@ -471,62 +471,65 @@ class GDALRasterTests(SimpleTestCase):
self.assertEqual(result, [23] * 16)
def test_raster_transform(self):
# Prepare tempfile and nodata value
rstfile = tempfile.NamedTemporaryFile(suffix='.tif')
ndv = 99
tests = [
3086,
'3086',
SpatialReference(3086),
]
for srs in tests:
with self.subTest(srs=srs):
# Prepare tempfile and nodata value.
rstfile = tempfile.NamedTemporaryFile(suffix='.tif')
ndv = 99
# Create in file based raster.
source = GDALRaster({
'datatype': 1,
'driver': 'tif',
'name': rstfile.name,
'width': 5,
'height': 5,
'nr_of_bands': 1,
'srid': 4326,
'origin': (-5, 5),
'scale': (2, -2),
'skew': (0, 0),
'bands': [{
'data': range(25),
'nodata_value': ndv,
}],
})
# Create in file based raster
source = GDALRaster({
'datatype': 1,
'driver': 'tif',
'name': rstfile.name,
'width': 5,
'height': 5,
'nr_of_bands': 1,
'srid': 4326,
'origin': (-5, 5),
'scale': (2, -2),
'skew': (0, 0),
'bands': [{
'data': range(25),
'nodata_value': ndv,
}],
})
target = source.transform(srs)
# Transform raster into srid 4326.
target = source.transform(3086)
# Reload data from disk.
target = GDALRaster(target.name)
self.assertEqual(target.srs.srid, 3086)
self.assertEqual(target.width, 7)
self.assertEqual(target.height, 7)
self.assertEqual(target.bands[0].datatype(), source.bands[0].datatype())
self.assertAlmostEqual(target.origin[0], 9124842.791079799, 3)
self.assertAlmostEqual(target.origin[1], 1589911.6476407414, 3)
self.assertAlmostEqual(target.scale[0], 223824.82664250192, 3)
self.assertAlmostEqual(target.scale[1], -223824.82664250192, 3)
self.assertEqual(target.skew, [0, 0])
# Reload data from disk
target = GDALRaster(target.name)
self.assertEqual(target.srs.srid, 3086)
self.assertEqual(target.width, 7)
self.assertEqual(target.height, 7)
self.assertEqual(target.bands[0].datatype(), source.bands[0].datatype())
self.assertAlmostEqual(target.origin[0], 9124842.791079799, 3)
self.assertAlmostEqual(target.origin[1], 1589911.6476407414, 3)
self.assertAlmostEqual(target.scale[0], 223824.82664250192, 3)
self.assertAlmostEqual(target.scale[1], -223824.82664250192, 3)
self.assertEqual(target.skew, [0, 0])
result = target.bands[0].data()
if numpy:
result = result.flatten().tolist()
# The reprojection of a raster that spans over a large area
# skews the data matrix and might introduce nodata values.
self.assertEqual(
result,
[
ndv, ndv, ndv, ndv, 4, ndv, ndv,
ndv, ndv, 2, 3, 9, ndv, ndv,
ndv, 1, 2, 8, 13, 19, ndv,
0, 6, 6, 12, 18, 18, 24,
ndv, 10, 11, 16, 22, 23, ndv,
ndv, ndv, 15, 21, 22, ndv, ndv,
ndv, ndv, 20, ndv, ndv, ndv, ndv,
]
)
result = target.bands[0].data()
if numpy:
result = result.flatten().tolist()
# The reprojection of a raster that spans over a large area
# skews the data matrix and might introduce nodata values.
self.assertEqual(
result,
[
ndv, ndv, ndv, ndv, 4, ndv, ndv,
ndv, ndv, 2, 3, 9, ndv, ndv,
ndv, 1, 2, 8, 13, 19, ndv,
0, 6, 6, 12, 18, 18, 24,
ndv, 10, 11, 16, 22, 23, ndv,
ndv, ndv, 15, 21, 22, ndv, ndv,
ndv, ndv, 20, ndv, ndv, ndv, ndv,
],
)
class GDALBandTests(SimpleTestCase):