def view_CoRegPoints_folium(self,
attribute2plot='ABS_SHIFT',
cmap=None,
exclude_fillVals=True):
warnings.warn(
UserWarning(
'This function is still under construction and may not work as expected!'
))
assert self.CoRegPoints_table is not None, 'Calculate tie point grid first!'
import folium
import geojson
from folium.raster_layers import ImageOverlay
lon_min, lat_min, lon_max, lat_max = \
reproject_shapelyGeometry(self.im2shift.box.mapPoly, self.im2shift.projection, 4326).bounds
center_lon, center_lat = (lon_min + lon_max) / 2, (lat_min +
lat_max) / 2
# get image to plot
image2plot = self.im2shift[:, :, 0] # FIXME hardcoded band
from py_tools_ds.geo.raster.reproject import warp_ndarray
image2plot, gt, prj = \
warp_ndarray(image2plot, self.im2shift.geotransform, self.im2shift.projection,
in_nodata=self.nodata[1], out_nodata=self.nodata[1], out_XYdims=(1000, 1000), q=True,
out_prj='epsg:3857') # image must be transformed into web mercator projection
# create map
map_osm = folium.Map(location=[center_lat,
center_lon]) # ,zoom_start=3)
# import matplotlib
ImageOverlay(
colormap=lambda x: (1, 0, 0, x), # TODO a colormap must be given
# colormap=matplotlib.cm.gray, # does not work
image=image2plot,
bounds=[[lat_min, lon_min], [lat_max, lon_max]],
).add_to(map_osm)
points_values = self.CoRegPoints_table[['geometry', attribute2plot]]
points_values.geometry.crs = points_values.crs
folium.GeoJson(points_values).add_to(map_osm)
# add overlap polygon
overlapPoly = reproject_shapelyGeometry(self.COREG_obj.overlap_poly,
self.im2shift.epsg, 4326)
gjs = geojson.Feature(geometry=overlapPoly, properties={})
folium.GeoJson(gjs).add_to(map_osm)
return map_osm
def _compute_tie_points(self):
CRL = COREG_LOCAL(self.cfg.path_reference_image,
self._EnMAP_band,
grid_res=40,
max_shift=5,
nodata=(self._ref_Im.nodata, 0),
footprint_poly_tgt=reproject_shapelyGeometry(
self._EnMAP_Im.meta.vnir.ll_mapPoly, 4326,
self._EnMAP_band.epsg),
mask_baddata_tgt=self._EnMAP_mask)
TPG = CRL.tiepoint_grid
# CRL.view_CoRegPoints(shapes2plot='vectors', hide_filtered=False, figsize=(20, 20),
# savefigPath='/home/gfz-fe/scheffler/temp/EnPT/Archachon_AROSICS_tiepoints.png')
valid_tiepoints = TPG.CoRegPoints_table[
TPG.CoRegPoints_table.OUTLIER.__eq__(False)].copy()
return valid_tiepoints
def _validate_input(self):
# check geocoding of DEM
if not self.dem.is_map_geo:
raise ValueError((
self.dem.gt, self.dem.prj
), 'The provided digital elevation model has no valid geo-coding or projection.'
)
# check if provided as WGS-84
ell = CRS(self.dem.prj).datum.ellipsoid.name
if ell != 'WGS 84':
raise ValueError(
ell,
"The digital elevation model must be provided with 'WGS84' as geographic datum."
)
# check overlap
dem_ll_mapPoly = reproject_shapelyGeometry(self.dem.footprint_poly,
prj_src=self.dem.epsg,
prj_tgt=4326)
enmapIm_ll_mapPoly = get_footprint_polygon(self.enmapIm_cornerCoords,
fix_invalid=True)
overlap_dict = get_overlap_polygon(dem_ll_mapPoly, enmapIm_ll_mapPoly)
overlap_perc = round(overlap_dict['overlap percentage'], 4)
if overlap_perc < 100:
# compute minimal extent in user provided projection
cornersXY = np.array([
transform_any_prj(4326, self.dem.epsg, x, y)
for x, y in self.enmapIm_cornerCoords
])
xmin, xmax = cornersXY[:, 0].min(), cornersXY[:, 0].max()
ymin, ymax = cornersXY[:, 1].min(), cornersXY[:, 1].max()
raise ValueError(
'The provided digital elevation model does not cover the EnMAP image completely '
'(only around %.1f percent). The minimal needed extent in the provided projection is: \n'
'xmin: %s, xmax: %s, ymin: %s, ymax: %s.' %
(overlap_perc, xmin, xmax, ymin, ymax))