I have a floating point raster with values from 60 up to 95 (with decimals), it has 7077 pixels of 250x250m size.

Is there a way to sum all pixel values of this raster? For example, if the raster had 3 pixels with values of 60.20, 71.43 and 86.59, the sum would be 218.22.

I tried with zonal statistics and cell statistics, but it does not work. I am using ArcMap 10.1.

  • If you don't mind rounding to an integer you can do that and then just open the VAT (attribute table). If you need more precision, I might try creating a zone that encompasses the full extent and doing a "Zonal Sum" with Spatial Analyst. Jul 16 '15 at 13:28
  • I haven't got ArcGIS to hand right now, but if you right click, select properties, and look under the general or source tab it might have a sum description, let me know if this doesn't help and I will look further. Jul 16 '15 at 13:29
  • I tried that but it only appears the max, min, mean and SD. Jul 16 '15 at 13:47

You can use a Python numpy array and a .sum() operation to sum all of the floating point values in the array. ArcGIS has an easy interface to convert raster data to a numpy array by using RasterToNumPyArray (arcpy)

# Import the arcpy site package
import arcpy, numpy

# Your input floating point raster
raster = r'C:\temp\floating_point_raster.tif'

# Convert the raster to a numpy array
array = arcpy.RasterToNumPyArray(raster, nodata_to_value = 0)

# Sum the array
  • With the new change it perfectly works! Thank you! Jul 16 '15 at 15:12
  • But I am getting return _RasterToNumPyArray(*args, **kwargs) MemoryError: even to 400MB raster.
    – SIslam
    Nov 18 '16 at 2:57

A simple method is:

mean pixel value * total number of pixels

The source tab in layer properties has all the information you need for this calculation.

  • This approach assumes your raster has no nodata values so would vastly over estimate if your raster has many nodata cells. @Aaron has a much more robust solution.
    – Hornbydd
    Nov 14 '18 at 13:03

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