Help with coordinate Input


Good day dear friends from the forum,

I am working with SNAP for mutitemporal water quality analysis, thus I need to analyse several products from different dates from MERIS (L1 and L2). I have the next set of coordinates (50 points, only shown 13):

When inserting those coordinates in SNAP using the Pin Manager I got somehow different results and location for distinct products dates:

Date 1

Date 2

As you can see, the coordinates seems to be not in the same location on the waterbody for both images, in the Date 1 many of the points are out of the perimeter of the water, while this is not happening in Date 2. This can be particularly seen with Pins 39, 7 or 6.

On the small label rectangle (down the number 8 in Label column) the W and N coordinates for the Pin 7 (100°09’45’‘W / 19°10’35’’ N) are shown. You can see that both coordinates are the same in Date 1 and Date 2, confirming the correct input of coordinates in both Products.

I have also tried to put this coordinates on other GIS (Google earth) having an overview of how they should look like:

The problem may increase due these variations could be present in more dates of products (not just between 2 as I show you here).
Do you know if I should do any type of Geo-correction in order to have always the same locations for different dates? if so, which one?

Thanks for your helps and comments,


Dear Leonardo,

Once created the PINs associated to you image (date 1) you will have the possibility to export them in the PIN Manager Window clicking on “Export selected pins to XML file” and import them in the image (date 2) clicking on “Import all pins from XML or text file”.

If the PINs are displayed in different location, probably the images acquired in different dates have some problem in geolocation and you need to co-register the stack of images used as input.

Best Regards,


Exactly, I have export them in the PIN Manager Window from text file (as showed in the first image).

The main problem is the PINs are displayed in different locations, thus there is no certainty for further analysis. This is happening in several images and not only in these 2 I used as an example. Thanks for your suggestion of the co-register of images. I will continue looking to solve this problem.


Hi Leonardo,

I am getting the same issue with Sentinel 3. Have you reprojected your Meris images beforehand? My pins vary depending on how I reprojected my images (i.e. subset before reprojection or not).

When you reproject, you can get a delta lat/lon band. I wonder if there is something similar to assess the original geocoding? Because we tested the collocation of the images, which obviously places the pins at the same location. But then, the position of the pins differs depending on which image is set as the Master :slight_smile: So which image to use as an input is the new issue…

I will be following the outcome of this post!


EDIT: we also noticed that when the pins are imported in a non reprojected image, the lat/lon values of the pins are slightly shifted. I.e; the longitude 6.408 in the reprojected image becomes 6.412 in the same image that isn’t reprojected…


Dear Fabrizio,
Do you have any further recommendation or material to review about this process. Your suggestions can be very useful and valuable when trying to solve the problem of the PIN’s coordinates (Help with coordinate Input)

Thanks in advantage!


Dear @leonardo.arias.27
could you provide the names of the two example products you are using?
Especially, if you are using RR, FR or FSG data. from the images I guess you are using RR, right?
If an orthorectification might help, depends on the area you are looking at. If it is in the mountains it can help. So in your case (1.850m) it is worth a try.
From your explanation, it seems the problem is in the data. Have you tried to visually locate the same pixel in both products and compared the shown geolocation?