def ex_georef():
# --------------------------------------------------------------------------
# EXAMPLE 1: Full workflow for georeferencing radar data
# 1st step: generate the centroid coordinates of the radar bins
# define the polar coordinates and the site coordinates in lat/lon
r = np.arange(1, 129) * 1000
az = np.linspace(0, 360, 361)[0:-1]
# drs: 51.12527778 ; fbg: 47.87444444 ; tur: 48.58611111 ; muc: 48.3372222
# drs: 13.76972222 ; fbg: 8.005 ; tur: 9.783888889 ; muc: 11.61277778
sitecoords = (9.7839, 48.5861)
# these are the polgon vertices of the radar bins
polygons = georef.polar2polyvert(r, az, sitecoords)
# these are the corresponding centroids
cent_lon, cent_lat = georef.polar2centroids(r, az, sitecoords)
# plot the vertices and the centroids in one plot
fig = pl.figure(figsize=(8, 8))
ax = fig.add_subplot(111)
polycoll = mpl.collections.PolyCollection(polygons, closed=True, facecolors='None')
ax.add_collection(polycoll, autolim=True)
ax.plot(cent_lon, cent_lat, 'r+')
ax.axis('tight')
pl.title('Zoom in to compare polygons and centroids.')
pl.show()
# 2nd step: reproject the centroid coordinates to Gauss-Krueger Zone 3
# by using the EPSG-Number 31467
# use it for projecting the centroids to Gauss-Krueger 3
proj_gk3 = georef.epsg_to_osr(31467)
x, y = georef.reproject(cent_lon, cent_lat, projection_targe=proj_gk3)
# export the projected centroid coordinates
# f = open('centroids.tab', 'w')
f = 'centroids.tab'
# f.write('x\ty\n')
np.savetxt(f, np.hstack((x.reshape((-1, 1)), y.reshape((-1, 1)))), fmt='%.2f', header='x\ty', delimiter='\t')
# f.close()
print('Exit.')
def test_polar2polyvert(self):
self.assertTrue(
np.allclose(
georef.polar2polyvert(np.array([10000., 10100.]),
np.array([45., 90.]), (9., 48.)),
np.array([[[9.05100794, 48.08225674], [9.051524, 48.0830875],
[9.12427234,
48.03435375], [9.12302879, 48.03401088],
[9.05100794, 48.08225674]],
[[9.051524, 48.0830875], [9.05204008, 48.08391826],
[9.12551589, 48.03469661],
[9.12427234, 48.03435375], [9.051524, 48.0830875]],
[[9.12302879,
48.03401088], [9.12427234, 48.03435375],
[9.051524, 48.0830875], [9.05100794, 48.08225674],
[9.12302879, 48.03401088]],
[[9.12427234,
48.03435375], [9.12551589, 48.03469661],
[9.05204008, 48.08391826], [9.051524, 48.0830875],
[9.12427234, 48.03435375]]])))
def test_polar2polyvert(self):
self.assertTrue(np.allclose(georef.polar2polyvert(np.array([10000., 10100.]), np.array([45., 90.]), (9., 48.)),
np.array([[[9.05100794, 48.08225674],
[9.051524, 48.0830875],
[9.12427234, 48.03435375],
[9.12302879, 48.03401088],
[9.05100794, 48.08225674]],
[[9.051524, 48.0830875],
[9.05204008, 48.08391826],
[9.12551589, 48.03469661],
[9.12427234, 48.03435375],
[9.051524, 48.0830875]],
[[9.12302879, 48.03401088],
[9.12427234, 48.03435375],
[9.051524, 48.0830875],
[9.05100794, 48.08225674],
[9.12302879, 48.03401088]],
[[9.12427234, 48.03435375],
[9.12551589, 48.03469661],
[9.05204008, 48.08391826],
[9.051524, 48.0830875],
[9.12427234, 48.03435375]]])))
def setUp(self):
global skip
# setup test grid and catchment
lon = 7.071664
lat = 50.730521
r = np.array(range(50, 100 * 1000 + 50, 100))
a = np.array(range(0, 360, 1))
rays = a.shape[0]
bins = r.shape[0]
# create polar grid polygon vertices in lat,lon
radar_ll = georef.polar2polyvert(r, a, (lon, lat))
# create polar grid centroids in lat,lon
rlon, rlat = georef.polar2centroids(r, a, (lon, lat))
radar_llc = np.dstack((rlon, rlat))
# setup OSR objects
self.proj_gk = osr.SpatialReference()
self.proj_gk.ImportFromEPSG(31466)
self.proj_ll = osr.SpatialReference()
self.proj_ll.ImportFromEPSG(4326)
# project ll grids to GK2
self.radar_gk = georef.reproject(radar_ll,
projection_source=self.proj_ll,
projection_target=self.proj_gk)
self.radar_gkc = georef.reproject(radar_llc,
projection_source=self.proj_ll,
projection_target=self.proj_gk)
# reshape
self.radar_gk.shape = (rays, bins, 5, 2)
self.radar_gkc.shape = (rays, bins, 2)
self.box0 = np.array([[2600000., 5630000.], [2600000., 5630100.],
[2600100., 5630100.], [2600100., 5630000.],
[2600000., 5630000.]])
self.box1 = np.array([[2600100., 5630000.], [2600100., 5630100.],
[2600200., 5630100.], [2600200., 5630000.],
[2600100., 5630000.]])
self.data = np.array([self.box0, self.box1])
# create catchment bounding box
buffer = 5000.
bbox = zonalstats.get_bbox(self.data[..., 0], self.data[..., 1])
bbox = dict(left=bbox['left'] - buffer,
right=bbox['right'] + buffer,
bottom=bbox['bottom'] - buffer,
top=bbox['top'] + buffer)
mask, shape = zonalstats.mask_from_bbox(self.radar_gkc[..., 0],
self.radar_gkc[..., 1],
bbox,
polar=True)
self.radar_gkc = self.radar_gkc[mask, :]
self.radar_gk = self.radar_gk[mask]
self.zdpoly = zonalstats.ZonalDataPoly(self.radar_gk,
self.data,
srs=self.proj_gk)
# self.zdpoly.dump_vector('test_zdpoly')
self.zdpoint = zonalstats.ZonalDataPoint(self.radar_gkc,
self.data,
srs=self.proj_gk)
# self.zdpoint.dump_vector('test_zdpoint')
isec_poly0 = np.array([
np.array([[2600000., 5630000.], [2600000., 5630057.83273596],
[2600018.65014816, 5630000.], [2600000., 5630000.]]),
np.array([[2600000., 5630057.83273596], [2600000., 5630100.],
[2600091.80406488,
5630100.], [2600100., 5630074.58501104],
[2600100., 5630000.], [2600018.65014816, 5630000.],
[2600000., 5630057.83273596]]),
np.array([[2600091.80406488, 5630100.], [2600100., 5630100.],
[2600100., 5630074.58501104],
[2600091.80406488, 5630100.]])
])
isec_poly1 = np.array([
np.array([[2600100., 5630000.], [2600100., 5630074.58501104],
[2600124.05249566, 5630000.], [2600100., 5630000.]]),
np.array([[2600100., 5630074.58501104], [2600100., 5630100.],
[2600197.20644071,
5630100.], [2600200., 5630091.33737992],
[2600200., 5630000.], [2600124.05249566, 5630000.],
[2600100., 5630074.58501104]]),
np.array([[2600197.20644071, 5630100.], [2600200., 5630100.],
[2600200., 5630091.33737992],
[2600197.20644071, 5630100.]])
])
isec_point0 = np.array([[2600062.31245173, 5630031.20266055]])
isec_point1 = np.array([[2600157.8352244, 5630061.85098382]])
self.isec_poly = np.array([isec_poly0, isec_poly1])
self.isec_point = np.array([isec_point0, isec_point1])
def setUp(self):
global skip
# setup test grid and catchment
lon = 7.071664
lat = 50.730521
r = np.array(range(50, 100 * 1000 + 50, 100))
a = np.array(range(0, 360, 1))
rays = a.shape[0]
bins = r.shape[0]
# create polar grid polygon vertices in lat,lon
radar_ll = georef.polar2polyvert(r, a, (lon, lat))
# create polar grid centroids in lat,lon
rlon, rlat = georef.polar2centroids(r, a, (lon, lat))
radar_llc = np.dstack((rlon, rlat))
# setup OSR objects
self.proj_gk = osr.SpatialReference()
self.proj_gk.ImportFromEPSG(31466)
self.proj_ll = osr.SpatialReference()
self.proj_ll.ImportFromEPSG(4326)
# project ll grids to GK2
self.radar_gk = georef.reproject(radar_ll, projection_source=self.proj_ll,
projection_target=self.proj_gk)
self.radar_gkc = georef.reproject(radar_llc, projection_source=self.proj_ll,
projection_target=self.proj_gk)
# reshape
self.radar_gk.shape = (rays, bins, 5, 2)
self.radar_gkc.shape = (rays, bins, 2)
self.box0 = np.array([[2600000., 5630000.], [2600000., 5630100.],
[2600100., 5630100.], [2600100., 5630000.],
[2600000., 5630000.]])
self.box1 = np.array([[2600100., 5630000.], [2600100., 5630100.],
[2600200., 5630100.], [2600200., 5630000.],
[2600100., 5630000.]])
self.data = np.array([self.box0, self.box1])
# create catchment bounding box
buffer = 5000.
bbox = zonalstats.get_bbox(self.data[..., 0], self.data[..., 1])
bbox = dict(left=bbox['left'] - buffer, right=bbox['right'] + buffer,
bottom=bbox['bottom'] - buffer, top=bbox['top'] + buffer)
mask, shape = zonalstats.mask_from_bbox(self.radar_gkc[..., 0],
self.radar_gkc[..., 1],
bbox,
polar=True)
self.radar_gkc = self.radar_gkc[mask, :]
self.radar_gk = self.radar_gk[mask]
self.zdpoly = zonalstats.ZonalDataPoly(self.radar_gk, self.data, srs=self.proj_gk)
# self.zdpoly.dump_vector('test_zdpoly')
self.zdpoint = zonalstats.ZonalDataPoint(self.radar_gkc, self.data, srs=self.proj_gk)
# self.zdpoint.dump_vector('test_zdpoint')
isec_poly0 = np.array([np.array([[2600000., 5630000.],
[2600000., 5630057.83273596],
[2600018.65014816, 5630000.],
[2600000., 5630000.]]),
np.array([[2600000., 5630057.83273596],
[2600000., 5630100.],
[2600091.80406488, 5630100.],
[2600100., 5630074.58501104],
[2600100., 5630000.],
[2600018.65014816, 5630000.],
[2600000., 5630057.83273596]]),
np.array([[2600091.80406488, 5630100.],
[2600100., 5630100.],
[2600100., 5630074.58501104],
[2600091.80406488, 5630100.]])])
isec_poly1 = np.array([np.array([[2600100., 5630000.],
[2600100., 5630074.58501104],
[2600124.05249566, 5630000.],
[2600100., 5630000.]]),
np.array([[2600100., 5630074.58501104],
[2600100., 5630100.],
[2600197.20644071, 5630100.],
[2600200., 5630091.33737992],
[2600200., 5630000.],
[2600124.05249566, 5630000.],
[2600100., 5630074.58501104]]),
np.array([[2600197.20644071, 5630100.],
[2600200., 5630100.],
[2600200., 5630091.33737992],
[2600197.20644071, 5630100.]])])
isec_point0 = np.array([[2600062.31245173, 5630031.20266055]])
isec_point1 = np.array([[2600157.8352244, 5630061.85098382]])
self.isec_poly = np.array([isec_poly0, isec_poly1])
self.isec_point = np.array([isec_point0, isec_point1])
