def test_project():
data = np.array([[0, 0, 1, 0, 0], [0, 0, 1, 0, 0], [1, 1, 1, 1, 1],
[0, 0, 1, 0, 0], [0, 0, 1, 0, 0]],
dtype=np.int32)
geodict = {
'xmin': 50,
'xmax': 50.4,
'ymin': 50,
'ymax': 50.4,
'dx': 0.1,
'dy': 0.1,
'nx': 5,
'ny': 5
}
gd = GeoDict(geodict)
grid = GDALGrid(data, gd)
projstr = "+proj=utm +zone=40 +north +ellps=WGS84 +datum=WGS84 +units=m +no_defs "
newgrid = grid.project(projstr, method='nearest')
try:
tdir = tempfile.mkdtemp()
outfile = os.path.join(tdir, 'output.bil')
grid.save(outfile)
with rasterio.open(outfile) as src:
aff = get_affine(src)
data = src.read(1)
src_crs = CRS().from_string(GeoDict.DEFAULT_PROJ4).to_dict()
dst_crs = CRS().from_string(projstr).to_dict()
nrows, ncols = data.shape
left = aff.xoff
top = aff.yoff
right, bottom = aff * (ncols - 1, nrows - 1)
dst_transform, width, height = calculate_default_transform(
src_crs, dst_crs, ncols, nrows, left, bottom, right, top)
destination = np.zeros((height, width))
reproject(data,
destination,
src_transform=aff,
src_crs=src_crs,
dst_transform=dst_transform,
dst_crs=dst_crs,
src_nodata=src.nodata,
dst_nodata=np.nan,
resampling=Resampling.nearest)
x = 1
except:
pass
finally:
shutil.rmtree(tdir)
def test_project():
data = np.array([[0,0,1,0,0],
[0,0,1,0,0],
[1,1,1,1,1],
[0,0,1,0,0],
[0,0,1,0,0]],dtype=np.int32)
geodict = {'xmin':50,'xmax':50.4,'ymin':50,'ymax':50.4,'dx':0.1,'dy':0.1,'nx':5,'ny':5}
gd = GeoDict(geodict)
grid = GDALGrid(data,gd)
projstr = "+proj=utm +zone=40 +north +ellps=WGS84 +datum=WGS84 +units=m +no_defs "
newgrid = grid.project(projstr,method='nearest')
try:
tdir = tempfile.mkdtemp()
outfile = os.path.join(tdir,'output.bil')
grid.save(outfile)
with rasterio.open(outfile) as src:
aff = src.transform
data = src.read(1)
src_crs = CRS().from_string(GeoDict.DEFAULT_PROJ4).to_dict()
dst_crs = CRS().from_string(projstr).to_dict()
nrows,ncols = data.shape
left = aff.xoff
top = aff.yoff
right,bottom = aff * (ncols-1, nrows-1)
dst_transform,width,height = calculate_default_transform(src_crs,dst_crs,
ncols,nrows,
left,bottom,
right,top)
destination = np.zeros((height,width))
reproject(data,
destination,
src_transform=aff,
src_crs=src_crs,
dst_transform=dst_transform,
dst_crs=dst_crs,
src_nodata=src.nodata,
dst_nodata=np.nan,
resampling=Resampling.nearest)
x = 1
except:
pass
finally:
shutil.rmtree(tdir)
def test_project():
# test projecting a grid that wraps the 180 meridian
gd = GeoDict.createDictFromBox(175, -175, -5, 5, 1.0, 1.0)
ncells = gd.ny * gd.nx
data = np.arange(0.0, ncells).reshape(gd.ny, gd.nx)
grid = GDALGrid(data, gd)
projstr = "+proj=merc +lat_ts=55 +lon_0=180 +ellps=WGS84"
newgrid = grid.project(projstr, method='nearest')
proj = pyproj.Proj(projstr)
# what would the ul/lr corners be?
ulx, uly = proj(grid._geodict.xmin, grid._geodict.ymax)
lrx, lry = proj(grid._geodict.xmax, grid._geodict.ymin)
# what if we back-project?
newxmin, newymax = proj(newgrid._geodict.xmin,
newgrid._geodict.ymax, inverse=True)
newxmax, newymin = proj(newgrid._geodict.xmax,
newgrid._geodict.ymin, inverse=True)
x = 1
# test simple projection
data = np.array([[0, 0, 1, 0, 0],
[0, 0, 1, 0, 0],
[1, 1, 1, 1, 1],
[0, 0, 1, 0, 0],
[0, 0, 1, 0, 0]], dtype=np.int32)
geodict = {'xmin': 50, 'xmax': 50.4, 'ymin': 50,
'ymax': 50.4, 'dx': 0.1, 'dy': 0.1, 'nx': 5, 'ny': 5}
gd = GeoDict(geodict)
grid = GDALGrid(data, gd)
projstr = "+proj=utm +zone=40 +north +ellps=WGS84 +datum=WGS84 +units=m +no_defs "
newgrid = grid.project(projstr, method='nearest')
try:
tdir = tempfile.mkdtemp()
outfile = os.path.join(tdir, 'output.bil')
grid.save(outfile)
with rasterio.open(outfile) as src:
aff = get_affine(src)
data = src.read(1)
src_crs = CRS().from_string(GeoDict.DEFAULT_PROJ4).to_dict()
dst_crs = CRS().from_string(projstr).to_dict()
nrows, ncols = data.shape
left = aff.xoff
top = aff.yoff
right, bottom = aff * (ncols-1, nrows-1)
dst_transform, width, height = calculate_default_transform(src_crs, dst_crs,
ncols, nrows,
left, bottom,
right, top)
destination = np.zeros((height, width))
reproject(data,
destination,
src_transform=aff,
src_crs=src_crs,
dst_transform=dst_transform,
dst_crs=dst_crs,
src_nodata=src.nodata,
dst_nodata=np.nan,
resampling=Resampling.nearest)
x = 1
except:
pass
finally:
shutil.rmtree(tdir)
