I'm trying to export the results of the scikit-image.measure.find_contours() function as a shapefile or geojson after running on a satellite image.
The output is an array like (row, column) with coordinates along the contours, of which there are many.
How do I plot the coordinates of the various contours, and export this to a shapefile (can set appropriate projection etc.)?
My current code where 'mask' is my processed image:
from skimage import measure
import matplotlib.pyplot as plt
contours = measure.find_contours(mask, 0.5)
plt.imshow(mask)
for n, contour in enumerate(contours):
plt.plot(contour[:,1], contour[:, 0], linewidth=1)
Something along the lines of the following, adapted from a post by the primary developer of rasterio
and fiona
, should work, though I'm sure you'll need to adapt a little more. It uses rasterio.features.shapes
to identify contiguous regions in an image that have some value and return the associated coordinates, based on the transform of the raster. It then writes those records to a shapefile using fiona
.
import fiona
import rasterio.features
schema = {"geometry": "Polygon", "properties": {"value": "int"}}
with rasterio.open(raster_filename) as raster:
image = raster.read()
# use your function to generate mask
mask = your_thresholding_function(image)
# and convert to uint8 for rasterio.features.shapes
mask = mask.astype('uint8')
shapes = rasterio.features.shapes(mask, transform=raster.transform)
# select the records from shapes where the value is 1,
# or where the mask was True
records = [{"geometry": geometry, "properties": {"value": value}}
for (geometry, value) in shapes if value == 1]
with fiona.open(shape_filename, "w", "ESRI Shapefile",
crs=raster.crs.data, schema=schema) as out_file:
out_file.writerecords(records)
simply use skimage:
from skimage.draw import polygon2mask
mask = polygon2mask(image_shape, contours[i])
i is the index of the contour you want to plot overlaying your original image of dimension image_shape.
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