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You can avoid this shift by using the input raster as the Snap Raster in the environment.

Consequently, the output features will shift as well, and the resultant output features may not overlay the original input raster exactly. This shift will trigger a resampling of the input raster using the Nearest Neighbor method. If Extent is specified in the environment setting and the lower-left corner of the output extent does not match any cell corner of the input raster, during processing, a shift of the cell alignment of the input raster will occur to match the specified extent. This parameter produces similar output as created by the Dice tool. This is particularly useful when output features contain a very large number of vertices. The Maximum vertices per polygon parameter can be used to subdivide a polygon into smaller polygons based on a specified vertex limit. The grouping process is similar to what is used in the Dissolve tool. However, if the output feature class contains a very large number of features, it may cause an out of memory error. If the Create multipart features parameter is checked ( MULTIPLE_OUTER_PART in Python), the output will be a multipart feature class and, on average, process faster. Comparing the output with different simplify options The result is presented for both the settings of the Simplify parameter. The following graphic illustrates how the input raster is vectorized when it is converted to a polygon feature output. You can save the updated vector layer as a new.

Now, you’ve successfully extracted raster values into polygon attributes.

You should see new columns with the raster-derived statistics. If a field is not specified, the cell values of the input raster (the VALUE field) will become a column with the heading Gridcode in the attribute table of the output feature class. Check the results: Open the attribute table of your polygon layer by right-clicking the layer in the Layers panel and selecting Open Attribute Table. The Field parameter allows you to choose which attribute field of the input raster dataset will become an attribute in the output feature class. The input raster can have any cell size and must be a valid integer raster dataset.