Embed other images on the raster with ArcPy

Data example

--Image of the side to be embedded (satellite image in this example) - before.tif, - 7871 x 7751 pixels (row x column)

![2020-02-09-11-41-48.png](https://qiita-image-store.s3.ap-northeast-1.amazonaws.com/0/533950/e7990cdf-9576-61c6-3423-cc2040639824.png)

--Embedded image (credit notation on satellite image in this example) --Credit.bmp - 526 x 4300 pixels (row x column)

![2020-02-09-11-46-05.png](https://qiita-image-store.s3.ap-northeast-1.amazonaws.com/0/533950/1474dbbd-c6f6-a64c-361e-fc57c5776b7e.png)

• I wasn't quite sure about the terms of whether credit notation is required for Landsat-8 images and the notation format information when necessary, so this is just an example.

Execution result

Python code

EmbedOtherImageToRaster.py

import arcpy
import numpy

inRasterLayer   = arcpy.GetParameterAsText(0)   #Raster (layer) on the embedded side
inOtherImage    = arcpy.GetParameterAsText(1)   #Image to embed
outRasterData   = arcpy.GetParameterAsText(2)   #Output destination raster
inOffsetRow     = arcpy.GetParameterAsText(3)   #Embedding destination coordinates (row direction)
inOffsetCol     = arcpy.GetParameterAsText(4)   #Embedding destination coordinates (column direction)

baseRaster = arcpy.Raster(inRasterLayer)
baseArray = arcpy.RasterToNumPyArray(baseRaster)

otherRaster = arcpy.Raster(inOtherImage)
otherArray = arcpy.RasterToNumPyArray(otherRaster)

offsetRow = int(inOffsetRow)
offsetCol = int(inOffsetCol)

outArray = baseArray.copy()    #Output destination pixel array

#Overwrite the pixel value of the image to be embedded in the pixel array of the output destination
for band in range(0, 3):
    for row in range(0, otherArray.shape[1]):
        for col in range(0, otherArray.shape[2]):
            outArray[band, offsetRow + row, offsetCol + col] = otherArray[band, row, col]

#Save the output destination pixel array as a raster
outRaster = arcpy.NumPyArrayToRaster(
    outArray,
    arcpy.Point(baseRaster.extent.XMin, baseRaster.extent.YMin),
    baseRaster.meanCellWidth,
    baseRaster.meanCellHeight)
arcpy.DefineProjection_management(outRaster, baseRaster.spatialReference)

compressionTypes = {
    'LZ77'  : 'LZ77',
    'JPEG'  : 'JPEG',
    'JPEG2000'  : 'JPEG2000',
    'PACKBITS'  : 'PackBits',
    'LZW'   : 'LZW',
    'RLE'   : 'RLE',
    'CCITT GROUP 3' : 'CCITT_G3',
    'CCITT GROUP 4' : 'CCITT_G4',
    'CCITT (1D)'    : 'CCITT_1D',
    'None'  : 'NONE' }
arcpy.env.compression = compressionTypes[baseRaster.compressionType]

pixelTypes = {
    'U1'    : '1_BIT',
    'U2'    : '2_BIT',
    'U4'    : '4_BIT',
    'U8'    : '8_BIT_UNSIGNED',
    'S8'    : '8_BIT_SIGNED',
    'U16'   : '16_BIT_UNSIGNED',
    'S16'   : '16_BIT_SIGNED',
    'U32'   : '32_BIT_UNSIGNED',
    'S32'   : '32_BIT_SIGNED',
    'F32'   : '32_BIT_FLOAT',
    'F64'   : '64_BIT' }
formats = {
    'BIL'   : 'BIL',
    'BIP'   : 'BIP',
    'BMP'   : 'BMP',
    'BSQ'   : 'BSQ',
    'DAT'   : 'ENVI',
    'GIF'   : 'GIF',
    'Grid'  : 'GRID',
    'IMAGINE Image' : 'IMAGINE Image',
    'JP2000'        : 'JP2',
    'JPEG'          : 'JPEG',
    'PNG'           : 'PNG',
    'TIFF'          : 'TIFF' }
arcpy.CopyRaster_management(outRaster, outRasterData,
                            pixel_type = pixelTypes[baseRaster.pixelType],
                            format = formats[baseRaster.format],
                            nodata_value = baseRaster.noDataValue)

del baseRaster, baseArray, otherRaster, otherArray, outArray, outRaster

reference

-Let's do image processing with ArcPy-Part 4: NumPyArray

reference

• RasterToNumPyArray
• NumPyArrayToRaster
• Raster -Copy Raster -Compression (Preferences) -Raster Compare