What are the features of the rasterio module?

What are the features of the rasterio module?

Warnings will be raised for any invalid or empty geometries, and an exception will be raised if there are no valid shapes to rasterize. shapes (iterable of ( geometry, value) pairs or iterable over) – geometries. The geometry can either be an object that implements the geo interface or GeoJSON-like object.

Where do I find the include files for rasterio?

On Windows, these paths need to be provided by the user. You will need to find the include files and the library files for gdal and use setup.py as follows. You will also need to specify the installed gdal version through the GDAL_VERSION environment variable.

What are the python dependencies for rasterio?

Rasterio’s Python dependencies are listed in its requirements.txt file. Development also requires (see requirements-dev.txt) Cython and other packages. Use a binary distributions that directly or indirectly provide GDAL if possible. Rasterio distributions are available from UbuntuGIS and Anaconda’s conda-forge channel.

What happens if there are no valid shapes in rasterio?

Return an image array with input geometries burned in. Warnings will be raised for any invalid or empty geometries, and an exception will be raised if there are no valid shapes to rasterize. shapes (iterable of ( geometry, value) pairs or iterable over) – geometries.

How to mask a raster using a shapefile?

Using rasterio with fiona, it is simple to open a shapefile, read geometries, and mask out regions of a raster that are outside the polygons defined in the shapefile. This shapefile contains a single polygon, a box near the center of the raster, so in this case, our list of features is one element long.

How to replace small polygons in rasterio source?

Replace small polygons in source with value of their largest neighbor. Polygons are found for each set of neighboring pixels of the same value. source ( array or dataset object opened in ‘r’ mode or Band or tuple(dataset, bidx)) – Must be of type rasterio.int16, rasterio.int32, rasterio.uint8, rasterio.uint16, or rasterio.float32

What happens if a mask value is false in rasterio?

Values of False or 0 will be excluded from feature generation. Note well that this is the inverse sense from Numpy’s, where a mask value of True indicates invalid data in an array. If source is a Numpy masked array and mask is None, the source’s mask will be inverted and used in place of mask.