Closed osgeokr closed 1 year ago
Hello @osgeokr ,
thank you for reporting this.
However, I think the issue is related to input path or the system, because the function
clipmultiplerasters should already extract the file name without extension with the function fileNameNoExt
.
Replacing .jp2 in the output name possibly is not the best solution because 'Clip multiple rasters' can work also with other raster extension.
The code of fileNameNoExt is pretty simple:
import os
path = "file_path"
n = os.path.basename(os.path.splitext(path)[0])
print(n)
Could you test the above code replacing file_path with the path of one of the .jp2 raster?
I recorded my experiences and you can see the case at this video: https://youtu.be/X0aMEuuwy54
I guess the SCP read the path like this, so the tail of the filename still have "jp2". path = "clip_T52SCH_A029344_20221019T022253_B02.jp2.jp2"
Pls look at my video. Thanks.
import os
path = "clip_T52SCH_A029344_20221019T022253_B02.jp2.jp2"
n = os.path.basename(os.path.splitext(path)[0])
print(n)
clip_T52SCH_A029344_20221019T022253_B02.jp2
I share the Sentinel-2 images fille (https://drive.google.com/file/d/1K20O0OeE6B5FU_Wc3zAGJcVY-w1CZ10m/view?usp=share_link). The file was download from SCP plugin. Thank you all about SCP!
Thank you very much @osgeokr for your cooperation. I fixed the issue that was in another function of the process. Please update the plugin to version 7.10.10
In the 'Clip multiple rasters', I experienced the results like this: clip_T52SCH_A029344_20221019T022253_B02.jp2.tif clip_T52SCH_A029344_20221019T022253_B03.jp2.tif ... For your reference, I downloaded Sentinel-2 images by using SCP 'Download products'.
The next step was Preprocessing following your Land Cover Classification tutorial. However, the Preprocessing functions can't read the bands normally because of the filename(*.jpg.tif), so I suggest to check the name about the case.