L1C product was exported to ENVI format, and the spectral value become larger(above1000). But it(the reflectance) is between 0.0-1.0 in SNAP, I want to know how it is converted during the exporting process. Is there any instructions? And, what the VALUE in the second figure represent? still reflectance? a little strange
Open the band maths for the corresponding layer (right click)
Enter band / 10000 (while band is your data) and save it to a new band. Then, export the band in a format which allows for decimal values (float).
I applied your method using 3 bands in band maths, and when I was about to export the calculated new bands but unluckily to find NO DATA STORAGE(red circle, but I can display them in SNAP ). I still tried to export data but really nothing in the exported file. And I found the format of new bands(read rectangle) was different from previous bands.
Sorry to trouble you again
this is because band maths only calculates virtual rasters unless the checkbox ‘Virtual’ is unchecked. This means that you can open and view them based on their logical or mathematical expression but they are not saved on your hard drive.
To convert the bands into a permanent raster, right click on the corresponding band, select ‘convert band’ and save your product with File > Save product.
In C2RCC atmospheric correction processor, min=31 and max=78. What I have to do? I’m using empirical algorithm (regretion with in-situ data) for detecting Chl-a concentration after Sen2Cor processing. I couldn’t find my error. Please help me.
It is difficult to trace what you have done and where the error could be, because multiple processing steps have been done.
Maybe you first have a look at the sen2core results and check of those values are too high too.
If they look good, then check How you calculate the NDCI.
The type of resampling surely affects the nature of the values, especially the largest and smallest ones. The fraction of negative values in your data is minimal, so I wonder if it’s a problem at all.
Reprojection would lead to further resampling, thus chaning your data even more. You can check if different resampling methods lead to other results. As Marco said, if the values are negative from the beginning, then it’s not a matter of processing.