Mosaics the contents of a raster catalog into a new raster dataset.
Usage tips
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This tool allows you to convert your geodatabase raster catalog into a raster dataset; the input is a raster catalog and the output is a new raster dataset. This tool cannot mosaic to an existing raster dataset.
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There are several advantages of using a mosaicked raster dataset: it tends to display faster at any scale, saves space since there is no overlapping data, and the data tends to display with fewer seams.
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You must set the pixel type to match your existing input raster datasets. If you do not set the pixel type, the 8-bit default will be used and your output might turn out incorrectly.
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You can save your output to BMP, GIF, GRID, IMG, JPEG, JPEG 2000, PNG, TIFF, or any geodatabase raster dataset.
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When storing a raster dataset in a geodatabase, no file extension should be added to the name of the raster dataset. When storing the raster dataset in a file format, you need to specify the file extension: .bmp for BMP, .gif for GIF, .img for an ERDAS IMAGINE file, .jpg for JPEG, .jp2 for JPEG 2000, .png for PNG, .tif for TIFF, or no extension for GRID.
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When storing your raster dataset to a JPEG file or a JPEG 2000 file, you can specify the compression quality within the Raster Storage Settings in the Environment Settings.
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The GIF format only supports single-band raster datasets.
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The overlapping areas of the mosaic can be handled in several ways; for example, you can set the tool to keep only the first raster dataset's data, or you can blend the overlapping cell values. There are also several options to determine how to handle a colormap, if the raster dataset uses one. For example, you can keep the colormap of the last raster dataset used in the mosaic.
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For mosaicking of discrete data, the First, Last, Minimum, and Maximum options give the most meaningful results. The Blend and Mean options are best suited for continuous data.
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Whenever possible, use the Last mosaic option to mosaic raster datasets to an existing raster dataset in file geodatabase or ArcSDE geodatabase; it is by far the most effective way to mosaic.
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When mosaicking with raster datasets containing colormaps, it is important to note differences across the colormaps for each raster dataset you choose to mosaic. You are still able to use the Mosaic tool even if the raster datasets have different colormaps; however, you must choose the proper colormap mode. If an improper colormap mode is chosen, your output might not turn out as you expected.
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For floating-point input raster datasets of different resolutions, it is recommended that you resample all the data using bilinear interpolation or cubic convolution before running Mosaic. Otherwise, Mosaic will automatically resample the rasters using nearest neighbor (which is not appropriate for the continuous type of data).
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Color matching and color correction can be used to make the raster mosaic more seamless.
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The following environments affect this tool: current workspace, scratch workspace, and snap raster.