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brodegon
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There isThe previous answer could be applied also using the focal statistics way. Somethingraster calculator, by writing something like:

Con(IsNull("your_raster_with_voids"), FocalStatistics("your_raster_with_voids", NbrRectangle(4,4,"CELL"), "MEAN"),"your_raster_with_voids")

used in the raster calculator.

You could change NbrRectangle and MEAN to find different solutions. I tried to use NbrCircle and MINIMUM instead, but I never got satisfying results.

There is also the focal statistics way. Something like:

Con(IsNull("your_raster_with_voids"), FocalStatistics("your_raster_with_voids", NbrRectangle(4,4,"CELL"), "MEAN"),"your_raster_with_voids")

used in the raster calculator.

You could change NbrRectangle and MEAN to find different solutions. I tried to use NbrCircle and MINIMUM instead, but I never got satisfying results.

The previous answer could be applied also using the raster calculator, by writing something like:

Con(IsNull("your_raster_with_voids"), FocalStatistics("your_raster_with_voids", NbrRectangle(4,4,"CELL"), "MEAN"),"your_raster_with_voids")

You could change NbrRectangle and MEAN to find different solutions. I tried to use NbrCircle and MINIMUM instead, but I never got satisfying results.

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brodegon
  • 361
  • 2
  • 8

There is also the focal statistics way. Something like:

Con(IsNull("your_raster_with_voids"), FocalStatistics("your_raster_with_voids", NbrRectangle(4,4,"CELL"), "MEAN"),"your_raster_with_voids")

used in the raster calculator.

You could change NbrRectangle and MEAN to find different solutions. I tried to use NbrCircle and MINIMUM instead, but I never got satisfying results.