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Using the Fiona and Rasterio framework to load both the stitched raster and selected parcel shapeﬁles. Crop each and every selected parcel from the raster and save only the RBG bands as a PNG image. Fig. 1. Steps in Data Preprocessing C. Dataset Annotation Annotation refers to the task of ﬁnding and labelling objects in images. def transform (self, func)-> 'Geometry': """Applies func to all coordinates of Geometry and returns a new Geometry of the same type and in the same projection from the transformed. The clipping extent overlayed on top of your raster. When you crop the raster, all of the data outside of the clipping extent will be removed. To crop the data,use the crop_image function in earthpy.spatial. with rio. open ( soap_chm_path) as src: lidar_chm_crop, soap_lidar_meta = es. crop_image ( src, crop_extent_soap) # Update the metadata to.