![]() Supported input multidimensional dataset types include multidimensional raster layer, mosaic dataset, image service, and CRF. Enable the Image Analysis Toolbar (Windows > Image Analysis). To run the tool on each slice in the multidimensional raster and generate a multidimensional raster output, be sure to save the output to CRF. Clip Raster with the Image Analysis Toolbar Step 1. This tool supports multidimensional raster data. ![]() The extent values must be in the same spatial coordinates and units as the raster dataset. You can save the output to BIL, BIP, BMP, BSQ, DAT, Esri Grid, GIF, IMG, JPEG, JPEG 2000, PNG, TIFF, MRF, or CRF format, or any geodatabase raster dataset. If a feature in the feature class is selected but the Use Input Features for Clipping Geometry parameter is not checked, the output clips out the minimum bounding rectangle for that feature. If a feature in the feature class is selected and the Use Input Features for Clipping Geometry parameter is checked, the output clips out the areas that are selected. You can also use the selected features within the display as the clipping extent. Ensure that the output format can support the proper pixel depth. If clipping geometry is used, the pixel depth of the output may be promoted. If you are using a feature class as the output extent, you can clip the raster by the minimum bounding rectangle of the feature class or by the polygon geometry of the features. This may cause the output to have a slightly different extent than specified in the tool.Īn existing raster or vector layer can be used as the clip extent. If the clip extent specified is not aligned with the input raster dataset, this tool verifies that the proper alignment is used. The clipped area is specified either by a rectangular envelope using minimum and maximum x- and y-coordinates or by using an output extent file. To extract a portion of a feature dataset, use the Clip tool in the Analysis toolbox. The clip output includes any pixels that intersect the template extent. To setup cropping for a collection of maps that are all similarly aligned.This tool allows you to extract a portion of a raster dataset based on a template extent. Specifying that the collar for the selected overlay will be on some degreeīoundary, like an even degree, of 0.5 degrees, etc. CropĪ Specified Number of Pixels Around the Edges of the LayerĪllows specifying a number of pixels to crop of each edge of (pictured above) to allow specifying the bounds to crop to. When selected, this option will display the Customize Collar Bounds dialog Option allows specifying a crop boundary in the native units To Manually Specified Boundary in Native Layer Projection/Units ![]() When selected, this option will display the CustomizeĬollar Bounds dialog (pictured below) to allow specifying the bounds ![]() CropĪ lat/lon boundary (in the native datum of the selected overlay) to crop Use the Select Layers button to select the layer(s) to use as the crop boundary. This option will use the layer bounds of one or more loaded layer(s) in the workspace to crop the selected layer(s). This allows seamlessly viewing a collection Small black collar around a 3.75 minute DOQQ, or the map collar aroundĪ BSB marine chart. Most frequently it is used to removes the white border around a DRG, the Here is an example: Add both layers to a group and set the group to 'Render Layers as Group': Have the line layer on top of the raster layer and set its. The collar from loaded raster data if the collar is in a recognized format. The best way (fastest, no extra data or expressions, done purely in the graphical rendering step) would be to group the two layers, render them as group and let the raster mask the line. This option is used to automatically remove Tab (pictured below) allows you to crop the selected overlay(s) to a particularīoundary, including support for automatically removing the collars from
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