I am interested in creating a flood map using machine learning methods. I need the same number of columns and rows for each raster data or layer. However, although I used the same boundaries for cutting raster datasets, I have a different number of columns and rows. By the way, cell sizes are the same for all data.
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I am using ArcMap 10.7.1 When ı using the "resampling" tool, cell sizes become equal with other data, columns and rows do not change significantly– Ogun BarutcuCommented Aug 10, 2020 at 19:51
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Take a look at clipping and snap to raster options in addition to resampling. The combination can help you ensure same exact dimensions.– ycartwhelenCommented Aug 11, 2020 at 14:01
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I am having the same issue. Using the Processing extent settings does not solve the problem. I have been trying with ArcMap and then used R (crop() and resample() ) but that does not solve the problem neither.– Ric_02Commented Dec 14, 2020 at 9:04
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1 Answer
In ArcGIS 10.8:
- Use Extract by Mask;
- Input Raster: the raster layer with the wrong # of columns and rows;
- Input Raster or Feature Mask Data: the layer with the correct # of columns and rows; Output Raster: your choice;
- Click Environment tab;
- Click Processing Extent, and browse to the layer with the correct # of columns and rows;
- Snap Raster should be the same layer (the correct layer);
- Click OK;
- Check the layer property--> Source
