If you are using ESA SNAP software, you have several options:

1) You can simply open the tie-point grids where the geocoding of a pixel is stored. However, you have to consider that these are only estimated based on the metadata of the scene. If you want exact coordinates, you have to apply the Range Doppler Terrain Correction first. (see image 1)

2) You can see the coordinate of each pixel in the Pixel Information tab if you move your mouse over the image (see image 2)

3) You can store a text file with pixel information and geocoding by digitizing a vector, right-clicking it > Copy pixel info to clipboard (see image 3).

Pin Manager and GCP manager options are available in SNAP software. try it..

Thanks for your quick response. But actually I want to do processing using Python.

If you want to processing further with Python just :

1. export your data

2 and import them together with meta data in Python

br

in your console get imageio:

pip install imageio

#### and in this folder in your snap project (\tie_point_grids)

use this code

lat = imageio.imread('latitude.img')

lon = imageio.imread('longitude.img')

print ('latitude')

print (lat)

print ('longitude')

print (lon)

Could you please guide me how to get I images to study the rate of subsidence, deformation of crust etc.

Dear Jahangir,

Explain your problem, properly. Then, one would be able to guide you.

Dear Researchers

i want to extract information in following pattern from Sentinel-2 image.

x y B2 B3 B4 B5 B6

12343 434314 212 124 11 54 59

The Matlab function 'geotiffinfo' could help with your problem.

Good luck!

I have a question about pixel location for sentinel1 and sentinel2 images? What corner of the pixel shows the actual location of the ground coordinates? like pixel location will be either upper-left corner or centroid of the pixel of the image. I am trying to find the information for S1 and S2 but getting info at the tile or granule level.