Band 1 Block=64x64 Type=UInt16, ColorInterp=Undefined
 Description = AVHRR Channel 1:  0.58  micrometers -- 0.68 micrometers
 Min=0.000 Max=814.000
 Minimum=0.000, Maximum=814.000, Mean=113.177, StdDev=152.897
 Metadata:
    LAYER_TYPE=athematic
    STATISTICS_MAXIMUM=814
    STATISTICS_MEAN=113.17657236931
    STATISTICS_MINIMUM=0
    STATISTICS_STDDEV=152.89720574652

#!/bin/sh

#  Image to modify
IMAGE_PATH='11skd505395.tif'

#  Field to modify
IMAGE_FIELD='TIFFTAG_IMAGEDESCRIPTION'

# Print the tiff image description tag
gdalinfo $IMAGE_PATH | grep $IMAGE_FIELD

#  Change the Field
CMD="gdal_edit.py -mo ${IMAGE_FIELD}='Lake-Tahoe' $IMAGE_PATH"
echo $CMD
$CMD

#  Print the new field value
gdalinfo $IMAGE_PATH | grep $IMAGE_FIELD

$ ./gdal-script.py
TIFFTAG_IMAGEDESCRIPTION=OrthoVista
gdal_edit.py -mo TIFFTAG_IMAGEDESCRIPTION='Lake-Tahoe' 11skd505395.tif
TIFFTAG_IMAGEDESCRIPTION='Lake-Tahoe'

from osgeo import gdal, osr
import numpy

# Define output image name, size and projection info:
OutputImage = 'test.tif'
SizeX = 20
SizeY = 20
CellSize = 1
X_Min = 563220.0
Y_Max = 699110.0
N_Bands = 10
srs = osr.SpatialReference()
srs.ImportFromEPSG(2157)
srs = srs.ExportToWkt()
GeoTransform = (X_Min, CellSize, 0, Y_Max, 0, -CellSize)

# Create the output image:
Driver = gdal.GetDriverByName('GTiff')
Raster = Driver.Create(OutputImage, SizeX, SizeY, N_Bands, 2) # Datatype = 2 same as gdal.GDT_UInt16
Raster.SetProjection(srs)
Raster.SetGeoTransform(GeoTransform)

# Iterate over each band
for band in range(N_Bands):
    BandNumber = band + 1
    BandName = 'SomeBandName '+ str(BandNumber).zfill(3)
    RasterBand = Raster.GetRasterBand(BandNumber)
    RasterBand.SetNoDataValue(0)
    RasterBand.SetDescription(BandName) # This sets the band name!
    RasterBand.WriteArray(numpy.ones((SizeX, SizeY)))

# close the output image
Raster = None
print("Done.")