I previously useda simple script that went through many Landsat satellite images, and for each folder it found it made a composite band raster. The script was as follows:

import arcpy
import os

arcpy.env.workspace = (folder containing lots of Landsat downloads, all of which in a separate folder)
outws = (output folder)
folders = arcpy.ListWorkspaces()

for folder in folders:
    arcpy.env.workspace = folder
rasters = arcpy.ListRasters("*.tif")
name = os.path.join(outws, rasters[1].split("_")[0] + ".tif")
arcpy.CompositeBands_management(rasters, join)

print "Processing complete"

This was very useful as it saves lots of time. I now want to adapt it to work with the new Sentinel 2 satellite images. There are some major differences though. For Landsat, there was a folder which contained 8 bands, all of which covered the same area. For Sentinel 2 the bands are split up into different subsets (the image I have here is 14 subsets) so somehow I would like to make the script navigate to where the subsets are stored, this is a folder called GRANULE. Within this folder there is a folder for each subset, the bands that I would like to combine are stored in a subfolder called IMG_DATA.

So, I would like the script to find the 14 folders called IMG_DATA, make a composite band for each folder, and finally mosaic them into one raster. Does someone know how I could adapt my script to use this?

1 Answer 1


you can replace the list raster with glob.glob in order to get the list of your raster :

import glob, arcpy

list_composites = []
list_images = glob.glob("path_to_your_image.SAFE\GRANULE\*\IMG_DATA\*B01.jp2") #first band in each folder
for image in list_images:
    rasters = glob.glob(image[:-6]+"*") #all bands in one folder
    arcpy.CompositeBands_management(rasters[1:], image[:-6]+"join.tif")#I removed the first band (aerosol, 60m). Note that composite bands takes the pixel size of the first band in the list.

then you can use your list_composites to create a mosaic or a raster catalog.

Note that i) with SNAP, you can create the composite and extract a subset without unzipping, ii) with gdalbuildvrt you can create a virtual file to avoid duplicating your data (Sentinel-2 is larger than Landsat-8, this makes big files).

  • Thanks for the response. It works well, and I added in the command to make a mosaic. Yes I have tried SNAP too, but I just wanted a way of making the entire mosaic automatically for mosaiving over very large areas. Thanks for the help! Feb 12, 2016 at 9:20

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.