def _reproject(self, eopatch, src_raster):
"""
Reprojects the raster data from Geopedia's CRS (POP_WEB) to EOPatch's CRS.
"""
height, width = src_raster.shape
dst_raster = np.ones((height, width), dtype=self.raster_dtype)
src_bbox = transform_bbox(eopatch.bbox, CRS.POP_WEB)
src_transform = rasterio.transform.from_bounds(*src_bbox,
width=width,
height=height)
dst_bbox = eopatch.bbox
dst_transform = rasterio.transform.from_bounds(*dst_bbox,
width=width,
height=height)
rasterio.warp.reproject(
src_raster,
dst_raster,
src_transform=src_transform,
src_crs={'init': CRS.ogc_string(CRS.POP_WEB)},
src_nodata=0,
dst_transform=dst_transform,
dst_crs={'init': CRS.ogc_string(eopatch.bbox.crs)},
dst_nodata=self.no_data_val)
return dst_raster
def execute(self, eopatch):
# convert to 3857 CRS
bbox_3857 = transform_bbox(eopatch.bbox, CRS.POP_WEB)
# get iterator over features
gpd_iter = GeopediaFeatureIterator(layer=self.layer, bbox=bbox_3857)
features = list(gpd_iter)
if len(features):
gdf = gpd.GeoDataFrame.from_features(features)
gdf.crs = {'init': 'epsg:4326'}
# convert back to EOPatch CRS
gdf = gdf.to_crs({'init': f'epsg:{eopatch.bbox.crs.value}'})
if self.year:
# Filter by years
gdf = gdf.loc[gdf[self.year_col_name].isin([self.year])]
if self.drop_duplicates:
sel = gdf.drop('geometry', axis=1)
sel = sel.drop_duplicates()
gdf = gdf.loc[sel.index]
eopatch[self.feature_type][self.feature_name] = gdf
return eopatch
def _get_wms_request(self, bbox, size_x, size_y):
"""
Returns WMS request.
"""
bbox_3857 = transform_bbox(bbox, CRS.POP_WEB)
return GeopediaWmsRequest(layer=self.layer,
theme=self.theme,
bbox=bbox_3857,
width=size_x,
height=size_y,
image_format=self.image_format,
custom_url_params={CustomUrlParam.TRANSPARENT: True})
def show_splitter(splitter, alpha=0.2, area_buffer=0.2, show_legend=False):
area_bbox = splitter.get_area_bbox()
minx, miny, maxx, maxy = area_bbox
lng, lat = area_bbox.get_middle()
w, h = maxx - minx, maxy - miny
minx = minx - area_buffer * w
miny = miny - area_buffer * h
maxx = maxx + area_buffer * w
maxy = maxy + area_buffer * h
fig = plt.figure(figsize=(10, 10))
ax = fig.add_subplot(111)
base_map = Basemap(projection='mill',
lat_0=lat,
lon_0=lng,
llcrnrlon=minx,
llcrnrlat=miny,
urcrnrlon=maxx,
urcrnrlat=maxy,
resolution='l',
epsg=4326)
base_map.drawcoastlines(color=(0, 0, 0, 0))
area_shape = splitter.get_area_shape()
if isinstance(area_shape, Polygon):
area_shape = [area_shape]
for polygon in area_shape:
if isinstance(polygon.boundary, MultiLineString):
for linestring in polygon.boundary:
ax.add_patch(
plt_polygon(np.array(linestring),
closed=True,
facecolor=(0, 0, 0, 0),
edgecolor='red'))
else:
ax.add_patch(
plt_polygon(np.array(polygon.boundary),
closed=True,
facecolor=(0, 0, 0, 0),
edgecolor='red'))
bbox_list = splitter.get_bbox_list()
info_list = splitter.get_info_list()
cm = plt.get_cmap('jet', len(bbox_list))
legend_shapes = []
for i, (bbox, info) in enumerate(zip(bbox_list, info_list)):
wgs84_bbox = transform_bbox(bbox, CRS.WGS84).get_polygon()
tile_color = tuple(list(cm(i))[:3] + [alpha])
ax.add_patch(
plt_polygon(np.array(wgs84_bbox),
closed=True,
facecolor=tile_color,
edgecolor='green'))
if show_legend:
legend_shapes.append(plt.Rectangle((0, 0), 1, 1, fc=cm(i)))
if show_legend:
plt.legend(legend_shapes, [
'{},{}'.format(info['index_x'], info['index_y'])
for info in info_list
])
plt.tight_layout()
plt.show()