def process_geojson_features(geojson_features, raster, header, csvfile):
"""Using a raster input, get values of a raster at features in geojson.
Output the final points and depths to a csv file."""
# write to csv file as depth found
csv_writer = csv.writer(csvfile)
csv_writer.writerow(header)
# provide progress whilst processing: number given is the total number of features in the cruise track
number_features_to_process = len(geojson_features)
progress_report = ProgressReport(number_features_to_process)
# process each of the shapefiles
for feature in geojson_features:
# get point values from raster at points in shapefile
result = rasterstats.gen_point_query(feature, raster, geojson_out=True)
# for each value obtained from the raster, output a line into a csvfile
for r in result:
csv_writer.writerow([
r['properties']['date_time'], r.geometry.coordinates[1],
r.geometry.coordinates[0], r['properties']['value']
])
progress_report.increment_and_print_if_needed()
def pointquery(features, raster, band, indent, nodata, interpolate, property_name, sequence, use_rs):
"""
Queries the raster values at the points of the input GeoJSON Features.
The raster values are added to the features properties and output as GeoJSON
Feature Collection.
If the Features are Points, the point geometery is used.
For other Feauture types, all of the verticies of the geometry will be queried.
For example, you can provide a linestring and get the profile along the line
if the verticies are spaced properly.
You can use either bilinear (default) or nearest neighbor interpolation.
"""
results = gen_point_query(
features,
raster,
band=band,
nodata=nodata,
interpolate=interpolate,
property_name=property_name,
geojson_out=True,
)
if sequence:
for feature in results:
if use_rs:
click.echo(b"\x1e", nl=False)
click.echo(json.dumps(feature))
else:
click.echo(json.dumps({"type": "FeatureCollection", "features": list(results)}))
def pointquery(features, raster, band, indent, nodata, interpolate,
property_name, sequence, use_rs):
"""
Queries the raster values at the points of the input GeoJSON Features.
The raster values are added to the features properties and output as GeoJSON
Feature Collection.
If the Features are Points, the point geometery is used.
For other Feauture types, all of the verticies of the geometry will be queried.
For example, you can provide a linestring and get the profile along the line
if the verticies are spaced properly.
You can use either bilinear (default) or nearest neighbor interpolation.
"""
results = gen_point_query(features,
raster,
band=band,
nodata=nodata,
interpolate=interpolate,
property_name=property_name,
geojson_out=True)
if sequence:
for feature in results:
if use_rs:
click.echo(b'\x1e', nl=False)
click.echo(json.dumps(feature))
else:
click.echo(
json.dumps({
'type': 'FeatureCollection',
'features': list(results)
}))
def extract_elev(shapefile, route, rasterfile):
da = read_shape(shapefile, route)
raw_elev = pd.DataFrame(rasterstats.gen_point_query(da, rasterfile))
elev = [x for x in raw_elev.iloc[0,:] if x is not None]
elev_meter = np.array(elev) * 0.3048
return(elev_meter)
def _extract_longitudes(lon_lines, lon_array, affine):
for line in lon_lines:
out_line_coords = []
longitude = line["properties"]["dd"]
for x, y, in shape(line["geometry"]).coords:
point = Point(x, y)
rastervalue = rasterstats.gen_point_query(
point, lon_array, affine=affine).next()
if rastervalue is None:
continue
if not out_line_coords:
out_line_coords.append(point)
if rastervalue >= 0.:
current_is_positive = True
else:
current_is_positive = False
if rastervalue >= 0.:
if current_is_positive:
out_line_coords.append(point)
else:
out_line_coords.append(point)
out_line = line
out_line.update(
geometry=mapping(LineString(out_line_coords)))
# longitude = -longitude
lon_int = int(round(-longitude))
direction = "W" if lon_int > 0 else "E"
display_lon = lon_int if lon_int > 0 else -lon_int
display = "%s %s" % (display_lon, direction)
if lon_int == 0:
direction = None
display = "0"
out_line["properties"].update(
dd=-longitude, degrees=lon_int, direction=direction,
display=display, scalerank=None)
out_line_coords = []
yield out_line
elif rastervalue < 0.:
if current_is_positive:
out_line_coords.append(point)
out_line = line
out_line.update(
geometry=mapping(LineString(out_line_coords)))
lon_int = int(round(longitude))
direction = "W" if lon_int > 0 else "E"
display_lon = lon_int if lon_int > 0 else -lon_int
display = "%s %s" % (display_lon, direction)
if lon_int == 0:
direction = None
display = "0"
out_line["properties"].update(
dd=longitude, degrees=lon_int, direction=direction,
display=display, scalerank=None)
out_line_coords = []
yield out_line
else:
out_line_coords.append(point)
if out_line_coords:
if not current_is_positive:
longitude = -longitude
out_line = line
out_line.update(
geometry=mapping(LineString(out_line_coords)))
lon_int = int(round(longitude))
direction = "W" if lon_int > 0 else "E"
display_lon = lon_int if lon_int > 0 else -lon_int
display = "%s %s" % (display_lon, direction)
if lon_int == 0:
direction = None
display = "0"
out_line["properties"].update(
dd=longitude, degrees=lon_int, direction=direction,
display=display, scalerank=None)
out_line_coords = []
yield out_line