GeFolki Coregistration fails with error

snap
#1

Hi, I want to coregister Sentinel 1 and Sentinel 2 images with subpixel accuracy so I am using the GeFolki registration tool in the SNAP software. However, the process is failing with the following error:

“A problem occurred during the target product processing.
Type: OperatorException
Message: Error on coregistration processing (possibly too large images): The Product ‘image_coreg’ already contains a band with the name ‘gray’.”

Note that Sentinel 1 and Sentinel 2 images cover an area of 30km x 30km. Is this too large?

#2

Any preprocessing applied to the data? What product level is used?

#3

The prefix of the S1 image is “S1A_IW_GRDH_1SDV”. Meanwhile the prefix of the S2 image is “S2A_MSIL2A”.

First, I am cropping the S1 and S2 images such that the resultant images cover a region of 30km x 30km.

Then I’m preprocessing the S1 image with the following functions:

  1. Apply Orbit File
  2. S-1 Thermal Noise Removal
  3. Calibrate
  4. Range-Doppler Terrain Correction

As for the S2 image, I’m using the red, green and blue bands to generate a grayscale band.

Finally, I’m using the GeFolki coregistration method to register the S1 VH band with the S2 grayscale band.

#4

that sound good so far. Although I’m usually not a big fan of changing the format, it might work here because GeFolki is an external plugin: Please try to export both images as subsets of equal extent as GeoTiffs and use them as inputs for the coregistration.

#5

GeFolki has worked for me before. My data had the same dimensions and was only around 500x500 pixels. I was using data from another satellite. Just regular ungeoreferenced TIFF files that were loaded into SNAP. I’m not sure if Sentinel data has the same process.

1 Like
#6

I tried using GeFolki on the images in GeoTIFF format and I got a similar error:

“A problem occurred during the target product processing.
Type: OperatorException
Message: Error on coregistration processing (possibly too large images): IOException occurred while reading TIFF image data.”