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Rescale, Rotate, Shift and Warp, Warp from File

Rescale, Rotate, Shift and Warp, Warp from File Tools

Rescale

How to Rescale Tool in ArcToolbox ArcMap ArcGIS??

Rescale Tool
Rescale Tool

Path to access the tool

:

Rescale Tool, Projections and Transformations Toolset, Raster Box, Data Management Tools Toolbox

 

Rescale

Resizes a raster by the specified x and y scale factors.

1.    Input Raster

The input raster.

2.    Output Raster Dataset

Output raster dataset.

When storing the raster dataset in a file format, you need to specify the file extension:

  1. .bil—Esri BIL
  2. .bip—Esri BIP
  3. .bmp—BMP
  4. .bsq—Esri BSQ
  5. .dat—ENVI DAT
  6. .gif—GIF
  7. .img—ERDAS IMAGINE
  8. .jpg—JPEG
  9. .jp2—JPEG 2000
  10. .png—PNG
  11. .tif—TIFF
  12. .mrf—MRF
  13. .crf—CRF
  14. No extension for Esri Grid

When storing a raster dataset in a geodatabase, no file extension should be added 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.

3.    X Scale Factor

The factor in which to scale the cell size in the x direction.

The factor must be greater than zero.

4.    Y Scale Factor

The factor in which to scale the cell size in the y direction.

The factor must be greater than zero.

Rotate

How to Rotate Tool in ArcToolbox ArcMap ArcGIS??

Rotate Tool
Rotate Tool

Path to access the tool

:

Rotate Tool, Projections and Transformations Toolset, Raster Box, Data Management Tools Toolbox

 

Rotate

Turn a raster dataset around a pivot point.

1.    Input Raster

Select the raster dataset to rotate.

2.    Output Raster Dataset

Specify a name, location, and format for the dataset you are creating. 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.

When storing the raster dataset in a file format, you need to specify the file extension:

  1. .bil—Esri BIL
  2. .bip—Esri BIP
  3. .bmp—BMP
  4. .bsq—Esri BSQ
  5. .dat—ENVI DAT
  6. .gif—GIF
  7. .img—ERDAS IMAGINE
  8. .jpg—JPEG
  9. .jp2—JPEG 2000
  10. .png—PNG
  11. .tif—TIFF
  12. .mrf—MRF
  13. .crf—CRF
  14. No extension for Esri Grid

3.    Angle

Specify a value between 0 and 360 degrees to rotate the raster by that amount in the clockwise direction. To rotate the raster in the counterclockwise direction, specify the angle as a negative value. The angle can be specified as an integer or a floating-point value.

4.    Pivot Point (optional)

Select a point to rotate the raster around. If left blank, the lower left corner of the input raster dataset will serve as the pivot.

5.    Resampling Technique (optional)

The resampling algorithm to be used. The default is NEAREST.

  1. NEAREST— Nearest neighbor is the fastest resampling method; it minimizes changes to pixel values since no new values are created. It is suitable for discrete data, such as land cover.
  2. BILINEAR— Bilinear interpolation calculates the value of each pixel by averaging (weighted for distance) the values of the surrounding four pixels. It is suitable for continuous data.
  3. CUBIC— Cubic convolution calculates the value of each pixel by fitting a smooth curve based on the surrounding 16 pixels. This produces the smoothest image but can create values outside of the range found in the source data. It is suitable for continuous data.
  4. MAJORITY—Majority resampling determines the value of each pixel based on the most popular value in a 3 by 3 window. Suitable for discrete data.

The NEAREST and MAJORITY options are used for categorical data, such as a land-use classification. The NEAREST option is the default since it is the quickest and also because it will not change the cell values. Do not use either of these for continuous data, such as elevation surfaces.

The BILINEAR option and the CUBIC option are most appropriate for continuous data. It is recommended that neither of these be used with categorical data because the cell values may be altered.

6.    Clipping Extent (optional)

Specify the processing extent of the raster dataset. The source data will be clipped to the specified extent before rotation.

Shift

How to Shift Tool in ArcToolbox ArcMap ArcGIS??

Shift Tool
Shift Tool

Path to access the tool

:

Shift Tool, Projections and Transformations Toolset, Raster Box, Data Management Tools Toolbox

 

Shift

Moves (slides) the raster to a new geographic location, based on x and y shift values. This tool is helpful if your raster dataset needs to be shifted to align with another data file.

1.    Input Raster

The input raster dataset.

2.    Output Raster Dataset

Output raster dataset.

When storing the raster dataset in a file format, you need to specify the file extension:

  1. .bil—Esri BIL
  2. .bip—Esri BIP
  3. .bmp—BMP
  4. .bsq—Esri BSQ
  5. .dat—ENVI DAT
  6. .gif—GIF
  7. .img—ERDAS IMAGINE
  8. .jpg—JPEG
  9. .jp2—JPEG 2000
  10. .png—PNG
  11. .tif—TIFF
  12. .mrf—MRF
  13. .crf—CRF
  14. No extension for Esri Grid
When storing a raster dataset in a geodatabase, no file extension should be added 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.

3.    Shift X Coordinates by

The value used to shift the x coordinates.

4.    Shift Y Coordinates by

The value used to shift the y coordinates.

5.    Input Snap Raster (optional)

The raster dataset used to align the cells of the output raster dataset.Input Snap Raster (optional)

Warp

How to Warp Tool in ArcToolbox ArcMap ArcGIS??

Warp Tool
Warp Tool

Path to access the tool

:

Warp Tool, Projections and Transformations Toolset, Raster Box, Data Management Tools Toolbox

 

Warp

Transforms a raster dataset using source and target control points. This is similar to georeferencing.

1.    Input Raster

The raster to be transformed.

Source Control Points

The coordinates of the raster to be warped.

Target Control Points

The coordinates to which the source raster will be warped.

Output Raster Dataset

Specify a name, location, and format for the dataset you are creating. 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, JPEG 2000 file, TIFF file, or geodatabase, you can specify a compression type and compression quality.

When storing the raster dataset in a file format, you need to specify the file extension:

Transformation Type (optional)

Select a method for shifting the raster dataset.

Resampling Technique (optional)

The resampling algorithm to be used. The default is NEAREST.

The NEAREST and MAJORITY options are used for categorical data, such as a land-use classification. The NEAREST option is the default since it is the quickest and also because it will not change the cell values. Do not use either of these for continuous data, such as elevation surfaces.

The BILINEAR option and the CUBIC option are most appropriate for continuous data. It is recommended that neither of these be used with categorical data because the cell values may be altered.

2.    Source Control Points

The coordinates of the raster to be warped.

Target Control Points

The coordinates to which the source raster will be warped.

Output Raster Dataset

Specify a name, location, and format for the dataset you are creating. 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, JPEG 2000 file, TIFF file, or geodatabase, you can specify a compression type and compression quality.

When storing the raster dataset in a file format, you need to specify the file extension:

Transformation Type (optional)

Select a method for shifting the raster dataset.

Resampling Technique (optional)

The resampling algorithm to be used. The default is NEAREST.

The NEAREST and MAJORITY options are used for categorical data, such as a land-use classification. The NEAREST option is the default since it is the quickest and also because it will not change the cell values. Do not use either of these for continuous data, such as elevation surfaces.

The BILINEAR option and the CUBIC option are most appropriate for continuous data. It is recommended that neither of these be used with categorical data because the cell values may be altered.

3.    Target Control Points

The coordinates to which the source raster will be warped.

Output Raster Dataset

Specify a name, location, and format for the dataset you are creating. 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, JPEG 2000 file, TIFF file, or geodatabase, you can specify a compression type and compression quality.

When storing the raster dataset in a file format, you need to specify the file extension:

Transformation Type (optional)

Select a method for shifting the raster dataset.

Resampling Technique (optional)

The resampling algorithm to be used. The default is NEAREST.

The NEAREST and MAJORITY options are used for categorical data, such as a land-use classification. The NEAREST option is the default since it is the quickest and also because it will not change the cell values. Do not use either of these for continuous data, such as elevation surfaces.

The BILINEAR option and the CUBIC option are most appropriate for continuous data. It is recommended that neither of these be used with categorical data because the cell values may be altered.

4.    Output Raster Dataset

Specify a name, location, and format for the dataset you are creating. 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, JPEG 2000 file, TIFF file, or geodatabase, you can specify a compression type and compression quality.

When storing the raster dataset in a file format, you need to specify the file extension:

  • .bil—Esri BIL
    1. .bip—Esri BIP
    2. .bmp—BMP
    3. .bsq—Esri BSQ
    4. .dat—ENVI DAT
    5. .gif—GIF
    6. .img—ERDAS IMAGINE
    7. .jpg—JPEG
    8. .jp2—JPEG 2000
    9. .png—PNG
    10. .tif—TIFF
    11. .mrf—MRF
    12. .crf—CRF
    13. No extension for Esri Grid

    5.    Transformation Type (optional)

    Select a method for shifting the raster dataset.

    1. POLYORDER0— This method uses a zero-order polynomial to shift your data. This is commonly used when your data is already georeferenced, but a small shift will better line up your data. Only one link is required to perform a zero-order polynomial shift.
    2. POLYSIMILARITY— This is a first order transformation that attempts to preserve the shape of the original raster. The RMS error tends to be higher than other polynomial transformations because the preservation of shape is more important than the best fit.
    3. POLYORDER1—A first-order polynomial (affine) fits a flat plane to the input points.
    4. POLYORDER2—A second-order polynomial fits a somewhat more complicated surface to the input points.
    5. POLYORDER3—A third-order polynomial fits a more complicated surface to the input points.
    6. ADJUST— This method combines a polynomial transformation and uses a triangulated irregular network (TIN) interpolation technique to optimize for both global and local accuracy.
    7. SPLINE— This method transforms the source control points precisely to the target control points. In the output, the control points will be accurate, but the raster pixels between the control points are not.
    8. PROJECTIVE— This method warps lines so they remain straight. In doing so, lines that were once parallel may no longer remain parallel. The projective transformation is especially useful for oblique imagery, scanned maps, and for some imagery products.

    Resampling Technique (optional)

    The resampling algorithm to be used. The default is NEAREST.

    The NEAREST and MAJORITY options are used for categorical data, such as a land-use classification. The NEAREST option is the default since it is the quickest and also because it will not change the cell values. Do not use either of these for continuous data, such as elevation surfaces.

    The BILINEAR option and the CUBIC option are most appropriate for continuous data. It is recommended that neither of these be used with categorical data because the cell values may be altered.

    6.    Resampling Technique (optional)

    The resampling algorithm to be used. The default is NEAREST.

    1. NEAREST— Nearest neighbor is the fastest resampling method; it minimizes changes to pixel values since no new values are created. It is suitable for discrete data, such as land cover.
    2. BILINEAR— Bilinear interpolation calculates the value of each pixel by averaging (weighted for distance) the values of the surrounding four pixels. It is suitable for continuous data.
    3. CUBIC— Cubic convolution calculates the value of each pixel by fitting a smooth curve based on the surrounding 16 pixels. This produces the smoothest image but can create values outside of the range found in the source data. It is suitable for continuous data.
    4. MAJORITY—Majority resampling determines the value of each pixel based on the most popular value in a 3 by 3 window. Suitable for discrete data.

    The NEAREST and MAJORITY options are used for categorical data, such as a land-use classification. The NEAREST option is the default since it is the quickest and also because it will not change the cell values. Do not use either of these for continuous data, such as elevation surfaces.

    The BILINEAR option and the CUBIC option are most appropriate for continuous data. It is recommended that neither of these be used with categorical data because the cell values may be altered.

    Warp from File

    How to Warp from File Tool in ArcToolbox ArcMap ArcGIS??

    Warp from File Tool
    Warp from File

    Path to access the tool

    :

    Warp from File Tool, Projections and Transformations Toolset, Raster Box, Data Management Tools Toolbox

     

    Warp from File

    Transforms a raster dataset using an existing text file containing source and target control points.

    1.    Input Raster

    The raster that you want to transform.

    Output Raster Dataset

    The name, location, and format for the dataset you are creating. 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 using environment settings.

    Link File

    The text, CSV, or TAB file containing the coordinates to warp the input raster. This can be generated from the Register Raster tool or from the Georeferencing toolbar.

    Transformation Type (optional)

    Select a method for shifting the raster dataset.

    Resampling Technique (optional)

    Choose an appropriate technique based on the type of data you have.

    The NEAREST and MAJORITY options are used for categorical data, such as a land-use classification. The NEAREST option is the default since it is the quickest and also because it will not change the cell values. Do not use either of these for continuous data, such as elevation surfaces.

    The BILINEAR option and the CUBIC option are most appropriate for continuous data. It is recommended that neither of these be used with categorical data because the cell values may be altered.

    2.    Output Raster Dataset

    The name, location, and format for the dataset you are creating. 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 using environment settings.

    1. .bil—Esri BIL
    2. .bip—Esri BIP
    3. .bmp—BMP
    4. .bsq—Esri BSQ
    5. .dat—ENVI DAT
    6. .gif—GIF
    7. .img—ERDAS IMAGINE
    8. .jpg—JPEG
    9. .jp2—JPEG 2000
    10. .png—PNG
    11. .tif—TIFF
    12. .mrf—MRF
    13. .crf—CRF
    14. No extension for Esri Grid

    3.    Link File

    The text, CSV, or TAB file containing the coordinates to warp the input raster. This can be generated from the Register Raster tool or from the Georeferencing toolbar.

    4.    Transformation Type (optional)

    Select a method for shifting the raster dataset.

    1. POLYORDER0— This method uses a zero-order polynomial to shift your data. This is commonly used when your data is already georeferenced, but a small shift will better line up your data. Only one link is required to perform a zero-order polynomial shift.
    2. POLYSIMILARITY— This is a first order transformation that attempts to preserve the shape of the original raster. The RMS error tends to be higher than other polynomial transformations because the preservation of shape is more important than the best fit.
    3. POLYORDER1—A first-order polynomial (affine) fits a flat plane to the input points.
    4. POLYORDER2—A second-order polynomial fits a somewhat more complicated surface to the input points.
    5. POLYORDER3—A third-order polynomial fits a more complicated surface to the input points.
    6. ADJUST— This method combines a polynomial transformation and uses a triangulated irregular network (TIN) interpolation technique to optimize for both global and local accuracy.
    7. SPLINE— This method transforms the source control points precisely to the target control points. In the output, the control points will be accurate, but the raster pixels between the control points are not.
    8. PROJECTIVE— This method warps lines so they remain straight. In doing so, lines that were once parallel may no longer remain parallel. The projective transformation is especially useful for oblique imagery, scanned maps, and for some imagery products.

    5.    Resampling Technique (optional)

    Choose an appropriate technique based on the type of data you have.

    1. NEAREST— Nearest neighbor is the fastest resampling method; it minimizes changes to pixel values since no new values are created. It is suitable for discrete data, such as land cover.
    2. BILINEAR— Bilinear interpolation calculates the value of each pixel by averaging (weighted for distance) the values of the surrounding four pixels. It is suitable for continuous data.
    3. CUBIC— Cubic convolution calculates the value of each pixel by fitting a smooth curve based on the surrounding 16 pixels. This produces the smoothest image but can create values outside of the range found in the source data. It is suitable for continuous data.
    4. MAJORITY—Majority resampling determines the value of each pixel based on the most popular value in a 3 by 3 window. Suitable for discrete data.

    The NEAREST and MAJORITY options are used for categorical data, such as a land-use classification. The NEAREST option is the default since it is the quickest and also because it will not change the cell values. Do not use either of these for continuous data, such as elevation surfaces.

    The BILINEAR option and the CUBIC option are most appropriate for continuous data. It is recommended that neither of these be used with categorical data because the cell values may be altered.

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