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scenProc improvements

arno

arno

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The latest development release of scenProc contains a number of interesting improvements.

  1. The available steps for the texture filter have been expanded to include steps to calculate the Normalized Difference Water Index (NDWI), Urban Water Index (UWI) and Urban Shadow Index (USI). With those additional steps it becomes easier to detect water from images as well. Sections 6.3.3 and 6.3.4 of the manual show example scripts using these new steps.
  2. The ExportGDAL step can now also call a texture configuration file. That way you can run a texture filter on the raster data before exporting it to disk. This would for example allow you to export the watermask that you have detected with the new texture filter steps described above to a GeoTIFF file and use it in other applications.
  3. I have unlocked two additional features of scenProc that were previously only available to selected projects. But as these features are more complex they deserve their own blog post with a video tutorial. So I will upload those ones the video tutorials are done.

I have another interesting feature in development. I am currently experimenting with using machine learning in the feature detection process. Hopefully that will make the results even better and hopefully also easier to adapt a script for different input images. But as I am still learning how to do this, I can’t give an estimation when this feature will be ready.

Continue reading...
 
Just checking here... are you sure the manual is correct in the 'Water feature detection using NDWI'? The images are referring to vegetation detection using NDVI? Starting to test with TSUWI in the meantime.
 
Hi, yes, that section refers to image 6.26 and further. There are still some images from the section before in between as well.
 
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