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How to clip raster in Python with rasterio?
You can instead look into the code of the clip function to see how it achieves the clipping and mimick that. It basically creates a window from the bounds of your geometry and reads from the source raster with that window (windowed read).
How does the open function in rasterio work?
Rasterio’s open () function takes a path string or path-like object and returns an opened dataset object. The path may point to a file of any supported raster format. Rasterio will open it using the proper GDAL format driver. Dataset objects have some of the same attributes as Python file objects.
How is the default transform calculated in rasterio?
Rasterio provides a rasterio.warp.calculate_default_transform () function to determine the optimal resolution and transform for the destination raster. Given a source dataset in a known coordinate reference system, this function will return a transform, width, height tuple which is calculated by libgdal.
Can a Rio function be called in Python?
The rio functions like rasterio.rio.clip.clip cannot be called as Python functions, since they already have a command-line interface attached to them (all those decorators) and are optimized for getting their parameters from there. You can instead look into the code of the clip function to see how it achieves the clipping and mimick that.
Which is an example of clipping a raster file?
One common task in raster processing is to clip raster files based on a Polygon. The following example shows how to clip a large raster based on a bounding box around Helsinki Region.
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 can I clip a raster with a polygon?
To be able to clip the raster with this Polygon, it is required that the data has identical coordinate reference system. Re-project into the same coordinate system as the raster data. We can access the crs of the raster using attribute .crs.data: