Create Raster Dataset (Data Management)

Summary

Creates an empty raster dataset.

Usage

• When you create a raster dataset, you are creating an empty location to contain a single raster dataset. You can then mosaic or load raster datasets into this location.

• You can save the output to BIL, BIP, BMP, BSQ, CRF, DAT, Esri Grid, GIF, IMG, JPEG, JPEG 2000, PNG, or TIFF format, or any geodatabase raster dataset.

• When storing a raster dataset to a JPEG format file, a JPEG 2000 format file, or a geodatabase, you can specify a Compression Type value and a Compression Quality value in the geoprocessing environments.

• The GIF format only supports single-band raster datasets.

• A raster dataset created in CRF format is expandable. The extent of an expandable CRF is adjusted automatically by other tools that accept CRF as an input, such as the Mosaic, Copy Raster, Clip Rasters, and Resample tools.

• Building pyramids improves the display performance of raster datasets.

• Calculating statistics allows ArcGIS applications to properly stretch and symbolize raster data for display.

Parameters

Dialog

Label	Explanation	Data Type
Output Location	The folder or geodatabase where the raster dataset will be stored.	Workspace
Raster Dataset Name with Extension	The name, location, and format for the newly created dataset. When storing the raster dataset in a file format, specify the file extension as follows: .bil for Esri BIL .bip for Esri BIP .bmp for BMP .bsq for Esri BSQ .crf for CRF .dat for ENVI DAT .gif for GIF .img for ERDAS IMAGINE .jpg for JPEG .jp2 for JPEG 2000 .png for PNG .tif for TIFF No extension for Esri Grid When storing a raster dataset in a geodatabase, do not add a file extension to the name of the raster dataset. When storing a raster dataset to a JPEG format file, a JPEG 2000 format file, a TIFF format file, or a geodatabase, you can specify Compression Type and Compression Quality values in the geoprocessing environments.	String
Cellsize (Optional)	The pixel size that will be used for the new raster dataset.	Double
Pixel Type	The bit-depth (radiometric resolution) of the output raster dataset. If this is not specified, the raster dataset will be created with a default pixel type of 8-bit unsigned integer. Not all data types are supported by all raster formats. Check the List of supported sensors help topic to ensure that the format you are using will support the necessary data type. 1 bit—The pixel type will be a 1-bit unsigned integer. The values can be 0 or 1. 2 bit—The pixel type will be a 2-bit unsigned integer. The values supported can range from 0 to 3. 4 bit—The pixel type will be a 4-bit unsigned integer. The values supported can range from 0 to 15. 8 bit unsigned—The pixel type will be an unsigned 8-bit data type. The values supported can range from 0 to 255. 8 bit signed—The pixel type will be a signed 8-bit data type. The values supported can range from -128 to 127. 16 bit unsigned—The pixel type will be a 16-bit unsigned data type. The values can range from 0 to 65,535. 16 bit signed—The pixel type will be a 16-bit signed data type. The values can range from -32,768 to 32,767. 32 bit unsigned—The pixel type will be a 32-bit unsigned data type. The values can range from 0 to 4,294,967,295. 32 bit signed—The pixel type will be a 32-bit signed data type. The values can range from -2,147,483,648 to 2,147,483,647. 32 bit float—The pixel type will be a 32-bit data type supporting decimals. 64 bit—The pixel type will be a 64-bit data type supporting decimals.	String
Spatial Reference for Raster (Optional)	The coordinate system for the output raster dataset. If this is not specified, the coordinate system set in the environment settings will be used.	Coordinate System
Number of Bands	The number of bands of the output raster dataset.	Long
Configuration Keyword (Optional)	The storage parameters (configuration) for a file or enterprise geodatabase. Configuration keywords are set up by your database administrator.	String
Create pyramids (Optional)	Creates pyramids. For Pyramid Levels, specify a number of -1 or higher. A value of 0 will not build any pyramids, and a value of -1 will automatically determine the correct number of pyramid layers to create. Pyramid Resampling Technique defines how the data will be resampled when building the pyramids. NEAREST—Nearest neighbor should be used for nominal data or raster datasets with color maps, such as land-use or pseudo color images. BILINEAR—Bilinear interpolation is best used with continuous data, such as satellite imagery or aerial photography. CUBIC—Cubic convolution is best used with continuous data, such as satellite imagery or aerial photography. It is similar to bilinear interpolation; however, it resamples the data using a larger matrix. Pyramid Compression Type defines the method used when compressing the pyramids. DEFAULT—The compression that is normally used by the raster dataset format will be used. LZ77—A lossless compression will be used. The values of the cells in the raster will not be changed. JPEG—A lossy compression will be used. NONE—No data compression will be used.	Pyramid
Tile size (Optional)	The size of the tiles. The tile width controls the number of pixels that can be stored in each tile. This is specified as a number of pixels in x. The default tile width is 128. The tile height controls the number of pixels that can be stored in each tile. This is specified as a number of pixels in y. The default tile height is 128. Only geodatabases and enterprise geodatabases use tile size.	Tile Size
Compression (Optional)	Specifies the type of compression that will be used to store the raster dataset. None—No compression will be used. This is the default. LZ77—Lossless compression that preserves all raster cell values will be used. Jpeg—Lossy compression that uses the public JPEG compression algorithm will be used. If you choose JPEG, you can also specify the compression quality. The valid compression quality value ranges are from 0 to 100. This compression can be used for JPEG files and TIFF files. Jpeg 2000—Lossy compression will be used. Lzw—Lossless compression that preserves all raster cell values will be used. Packbits—PackBits compression will be used for TIFF files. Rle—Run-length encoding will be used for IMG files. Ccitt Group 3—Lossless compression for 1-bit data will be used. Ccitt Group 4—Lossless compression for 1-bit data will be used. Ccitt 1D—Lossless compression for 1-bit data will be used.	Compression
Origin/Pyramid Reference Point (Optional)	The origination location of the raster pyramid. It is recommended that you specify this point if you plan to build large mosaics in a file geodatabase or enterprise geodatabase, especially if you plan to mosaic them over time (for example, when updating). The pyramid reference point should be set to the upper left corner of your raster dataset. In setting this point for a file geodatabase or enterprise geodatabase, partial pyramiding will be used when updating with a new mosaicked raster dataset. Partial pyramiding updates the parts of the pyramid that do not exist due to the new mosaicked datasets. It is a good practice to set a pyramid reference point so that the entire raster mosaic will be below and to the right of this point. However, a pyramid reference point should not be set too large either.	Point

Derived Output

Label	Explanation	Data Type
Output Raster Dataset	The output raster dataset.	Raster Dataset

Python

arcpy.management.CreateRasterDataset(out_path, out_name, {cellsize}, pixel_type, {raster_spatial_reference}, number_of_bands, {config_keyword}, {pyramids}, {tile_size}, {compression}, {pyramid_origin})

Name	Explanation	Data Type
out_path	The folder or geodatabase where the raster dataset will be stored.	Workspace
out_name	The name, location, and format for the newly created dataset. When storing the raster dataset in a file format, specify the file extension as follows: .bil for Esri BIL .bip for Esri BIP .bmp for BMP .bsq for Esri BSQ .crf for CRF .dat for ENVI DAT .gif for GIF .img for ERDAS IMAGINE .jpg for JPEG .jp2 for JPEG 2000 .png for PNG .tif for TIFF No extension for Esri Grid When storing a raster dataset in a geodatabase, do not add a file extension to the name of the raster dataset. When storing a raster dataset to a JPEG format file, a JPEG 2000 format file, a TIFF format file, or a geodatabase, you can specify Compression Type and Compression Quality values in the geoprocessing environments.	String
cellsize (Optional)	The pixel size that will be used for the new raster dataset.	Double
pixel_type	The bit-depth (radiometric resolution) of the output raster dataset. If this is not specified, the raster dataset will be created with a default pixel type of 8-bit unsigned integer. Not all data types are supported by all raster formats. Check the List of supported sensors help topic to ensure that the format you are using will support the necessary data type. 1_BIT—The pixel type will be a 1-bit unsigned integer. The values can be 0 or 1. 2_BIT—The pixel type will be a 2-bit unsigned integer. The values supported can range from 0 to 3. 4_BIT—The pixel type will be a 4-bit unsigned integer. The values supported can range from 0 to 15. 8_BIT_UNSIGNED—The pixel type will be an unsigned 8-bit data type. The values supported can range from 0 to 255. 8_BIT_SIGNED—The pixel type will be a signed 8-bit data type. The values supported can range from -128 to 127. 16_BIT_UNSIGNED—The pixel type will be a 16-bit unsigned data type. The values can range from 0 to 65,535. 16_BIT_SIGNED—The pixel type will be a 16-bit signed data type. The values can range from -32,768 to 32,767. 32_BIT_UNSIGNED—The pixel type will be a 32-bit unsigned data type. The values can range from 0 to 4,294,967,295. 32_BIT_SIGNED—The pixel type will be a 32-bit signed data type. The values can range from -2,147,483,648 to 2,147,483,647. 32_BIT_FLOAT—The pixel type will be a 32-bit data type supporting decimals. 64_BIT—The pixel type will be a 64-bit data type supporting decimals.	String
raster_spatial_reference (Optional)	The coordinate system for the output raster dataset. If this is not specified, the coordinate system set in the environment settings will be used.	Coordinate System
number_of_bands	The number of bands of the output raster dataset.	Long
config_keyword (Optional)	The storage parameters (configuration) for a file or enterprise geodatabase. Configuration keywords are set up by your database administrator.	String
pyramids (Optional)	Creates pyramids. For Pyramid Levels, specify a number of -1 or higher. A value of 0 will not build any pyramids, and a value of -1 will automatically determine the correct number of pyramid layers to create. Pyramid Resampling Technique defines how the data will be resampled when building the pyramids. NEAREST—Nearest neighbor should be used for nominal data or raster datasets with color maps, such as land-use or pseudo color images. BILINEAR—Bilinear interpolation is best used with continuous data, such as satellite imagery or aerial photography. CUBIC—Cubic convolution is best used with continuous data, such as satellite imagery or aerial photography. It is similar to bilinear interpolation; however, it resamples the data using a larger matrix. Pyramid Compression Type defines the method used when compressing the pyramids. DEFAULT—The compression that is normally used by the raster dataset format will be used. LZ77—A lossless compression will be used. The values of the cells in the raster will not be changed. JPEG—A lossy compression will be used. NONE—No data compression will be used.	Pyramid
tile_size (Optional)	The size of the tiles. The tile width controls the number of pixels that can be stored in each tile. This is specified as a number of pixels in x. The default tile width is 128. The tile height controls the number of pixels that can be stored in each tile. This is specified as a number of pixels in y. The default tile height is 128. Only geodatabases and enterprise geodatabases use tile size.	Tile Size
compression (Optional)	Specifies the type of compression that will be used to store the raster dataset. LZ77—Lossless compression that preserves all raster cell values will be used. JPEG—Lossy compression that uses the public JPEG compression algorithm will be used. If you choose JPEG, you can also specify the compression quality. The valid compression quality value ranges are from 0 to 100. This compression can be used for JPEG files and TIFF files. JPEG 2000—Lossy compression will be used. PACKBITS—PackBits compression will be used for TIFF files. LZW—Lossless compression that preserves all raster cell values will be used. RLE—Run-length encoding will be used for IMG files. CCITT GROUP 3—Lossless compression for 1-bit data will be used. CCITT GROUP 4—Lossless compression for 1-bit data will be used. CCITT_1D—Lossless compression for 1-bit data will be used. NONE—No compression will be used. This is the default.	Compression
pyramid_origin (Optional)	The origination location of the raster pyramid. It is recommended that you specify this point if you plan to build large mosaics in a file geodatabase or enterprise geodatabase, especially if you plan to mosaic them over time (for example, when updating). The pyramid reference point should be set to the upper left corner of your raster dataset. In setting this point for a file geodatabase or enterprise geodatabase, partial pyramiding will be used when updating with a new mosaicked raster dataset. Partial pyramiding updates the parts of the pyramid that do not exist due to the new mosaicked datasets. It is a good practice to set a pyramid reference point so that the entire raster mosaic will be below and to the right of this point. However, a pyramid reference point should not be set too large either.	Point

Derived Output

Name	Explanation	Data Type
out_raster_dataset	The output raster dataset.	Raster Dataset

Code sample

CreateRasterDataset example 1 (Python window)

This is a Python sample for the CreateRasterDataset function.

import arcpy
arcpy.CreateRasterDataset_management("c:/data", "EmptyTIFF.tif", "2",
                                     "8_BIT_UNSIGNED", "World_Mercator.prj",
                                     "3", "", "PYRAMIDS -1 NEAREST JPEG",
                                     "128 128", "NONE", "")

CreateRasterDataset example 2 (stand-alone script)

This is a Python script sample for the CreateRasterDataset function.

##==================================
##Create Raster Dataset
##Usage: CreateRasterDataset_management out_path out_name {cellsize} 8_BIT_UNSIGNED | 1_BIT | 2_BIT | 4_BIT | 8_BIT_SIGNED 
##                                      | 16_BIT_UNSIGNED | 16_BIT_SIGNED | 32_BIT_UNSIGNED | 32_BIT_SIGNED | 32_BIT_FLOAT 
##                                      | 64_BIT {raster_spatial_reference} number_of_bands {config_keyword} {pyramids} {tile_size} 
##                                      {compression} {pyramid_origin}

import arcpy
arcpy.env.workspace = r"\\workspace\PrjWorkspace\RasGP"
##Create a empty TIFF format Raster Dataset with the following parameters
##Cellsize: 2
##Pixel type: 8 Bit Unsigned Integer
##Number of Bands: 3
##Pyramid: Build full pyramids with NEAREST interpolation and JPEG compression
##Compression: NONE
##Projection: World_Mercator
##Tile size: 128 128
arcpy.CreateRasterDataset_management("CreateRD","EmptyTIFF.tif","2","8_BIT_UNSIGNED",\
                                     "World_Mercator.prj", "3", "", "PYRAMIDS -1 NEAREST JPEG",\
                                     "128 128", "NONE", "")

##Create a SDE Raster Dataset
##No Spatial Reference, with Pyramid Origin
arcpy.CreateRasterDataset_management("CreateRD\\CreateRD.gdb","NewRD","10","16_BIT_UNSIGNED",\
                                     "", "1", "MAX_FILE_SIZE_4GB", "PYRAMIDS 3 BILINEAR DEFAULT",\
                                     "128 128", "JPEG2000 80", "-20037508.34278775 30198185.16987658")

Environments

Compression, Output CONFIG Keyword, Pyramid, Tile Size

Licensing information

• Basic: Yes
• Standard: Yes
• Advanced: Yes