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Standard deviation and percent clip
In many cases, you can assume that the majority of the pixel values fall within an upper and lower limit. Therefore, it's reasonable to trim off the extreme values. You can do this statistically by defining either a standard deviation or a clipping percent.
The standard deviation stretch type applies a linear stretch between the values defined by the standard deviation (n) value.
The percent clip stretch type applies a linear stretch between the defined percent clip minimum and percent clip maximum pixel values.
Download Mosaico setup here for free! Mosaico takes only few minutes to download and install. You can support us by buying an unlimited personal license. Stretching improves the appearance of the data by spreading the pixel values along a histogram from the minimum and maximum values defined by their bit depth. For example, an 8-bit raster dataset or mosaic dataset will be stretched from 0 to 255. Different stretches will produce different results in the raster display. Product Platform OS Latest Notes; Auto-Tune Pro: AAX Mac: 10.13 to 10.15: 9.1.1: Requires Pro Tools 2018.1 or later, 64-bit compatible: VST Mac: 10.13 to 10.15.
When you use either of these stretch types, all the values in the histogram falling outside the defined values are pushed to the ends. For example, assume your histogram has the same range of values as previously mentioned, 33 to 206, and you've defined a percent clip minimum and maximum of 2. If 2 percent at the low end are values 33 to 45, and 2 percent at the high end are values 198 to 206, the histogram will be redistributed to spread the values from 0 to 255. Values 33 to 45 become 0, values 198 to 206 become 255, and all others are spread in between. Similarly, if you define a 2 standard deviation, the values beyond the 2nd standard deviation become 0 or 255, and the remaining values are stretched between 0 and 255.
Summary
Merges multiple raster datasets into a new raster dataset.
Usage
The input raster datasets are all the raster datasets you would like to mosaic together. The inputs must have the same number of bands and same bit depth; otherwise, the tool will exit with an error message.
The Mosaic tool has more parameters available when combining datasets into an existing raster, such as options to ignore background and NoData values.
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 may be incorrect.
You can save your output to BIL, BIP, BMP, BSQ, DAT, Esri Grid , GIF, IMG, JPEG, JPEG 2000, PNG, TIFF, or a geodatabase raster dataset.
When storing your raster dataset to a JPEG file, a JPEG 2000 file, or a geodatabase, you can specify a Compression Type and Compression Quality in the Environments.
The GIF format only supports single-band raster datasets.
When mosaicking with raster datasets containing color maps, it is important to note differences across the color maps for each raster dataset you choose to mosaic. In this situation, use the Mosaic tool for raster with different color maps; however, you must choose the proper Mosaic Colormap Mode operator. If an improper colormap mode is chosen, your output might not turn out as you expected.
This tool does not honor the Output extent environment setting for enterprise geodatabases. If you want a specific extent for your output raster, consider using the Clip tool. You can either clip the input rasters prior to using this tool, or clip the output of this tool.
Syntax
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| Parameter | Explanation | Data Type |
[input_raster,...] | The raster datasets that you want to merge together. The inputs must have the same number of bands and same bit depth. | Composite Layer; Mosaic Dataset; Raster Dataset; Raster Layer |
The folder or geodatabase to store the raster. | Workspace | |
raster_dataset_name_with_extension | The name of the dataset you are creating. When storing the raster dataset in a file format, you need to specify the file extension:
When storing a raster dataset in a geodatabase, do not add a file extension to the name of the raster dataset. When storing your raster dataset to a JPEG file, a JPEG 2000 file, a TIFF file, or a geodatabase, you can specify a Compression Type and Compression Quality in the geoprocessing Environments. | String |
(Optional) | The coordinate system for the output raster dataset. | Coordinate System |
(Optional) | The bit depth, or radiometric resolution of the mosaic dataset. If you do not set the pixel type, the 8-bit default will be used and your output may be incorrect.
| String |
(Optional) | The cell size for the new raster dataset. | Double |
The number of bands that the output raster will have. | Long | |
mosaic_method | The method used to mosaic overlapping areas.
For more information about each mosaic operator, refer to the Mosaic Operator help topic. | String |
(Optional) | Applies when the input raster datasets have a colormap. The method used to choose which color map from the input rasters will be applied to the mosaic output.
| String |
Derived Output
| Name | Explanation | Data Type |
| output_raster_dataset | The output raster dataset. | Raster Dataset |
Code sample
MosaicToNewRaster example 1 (Python window)Mosaic Pro 1 0 8 Apk
This is a Python sample for the MosaicToNewRaster tool.
MosaicToNewRaster example 2 (stand-alone script)This is a Python script sample for the MosaicToNewRaster tool.
Environments
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Licensing information
- Basic: Yes
- Standard: Yes
- Advanced: Yes