This tool modifies the input point features, and may change its internal feature ID, which may be named ObjectID, FID, or OID. It is recommended to have a unique ID field in the attribute table before performing the analysis.
Cell values will be extracted from all input rasters at each location. A new field containing the cell values for each input raster will be appended to the input point feature class.
Additional attributes from the input raster table, if any, will not be appended to the input point features.
The input rasters will not be resampled honoring the analysis environment. Instead, the cell values are extracted from all input rasters in their original resolution and spatial reference by the projecting input locations to the raster's spatial reference from which values are extracted.
However, the analysis environment is applied to the input locations.
Locations that extract values from NoData cells in the input raster will be given a <null> value in the output table. For shapefiles, because null fields are not supported, NoData cells are instead represented in the table with a value of -9999.
The shapefile format has limitations on the maximum length of a field name; it is 10 characters. As a result, any fields that are appended to the attribute table of an input shapefile will have their names truncated and made unique by default. This may make it difficult to distinguish between the fields, particularly if the names are long or very similar. In this case, it is suggested to copy the input shapefile to a file geodatabase and use the feature class for the analysis.
If the Input point features (in_point_features in Python) are defined using an XY event layer, the underlying event table is directly updated. The tool will fail if the underlying table is read-only.
The tool will fail to execute with multipoint features. To perform analysis with multipoint features, convert them to single point features before using them in the extraction tool. See processing multipoint data for more information.
Any combination of rasters (single band or multiband) can be specified for the Input rasters (in_rasters in Python) parameter.
When a multiband raster is specified as one of the Input Rasters (in_rasters in Python), all of the bands in that input will be used.
To process a selection of bands from an input multiband raster, first create a new raster dataset composed of those particular bands using the Composite Bands tool. Then use the result in the list of input rasters.
When the input is a multiband raster, a field will be added for all bands with a b1_, b2_, …bn prefix added to the name of the output field denoting the band number.
Output field names are created from the name of the input raster by default; otherwise, you can specify a unique name for each field to store raster values.
The interpolation option determines how the values will be obtained from the raster. The default option is to extract the exact cell value at the input locations. To extract interpolated values using the bilinear method, check the Bilinear interpolation of values at point locations option. In Python, you would set the bilinear_interpolate_values parameter to BILINEAR.
If a feature is specified in the Mask environment, an internal raster is created using the minimum cell size of the input rasters. During extraction, the internal mask raster is again resampled to the cell size of each input raster.
See Analysis environments and Spatial Analyst for additional details on the geoprocessing environments that apply to this tool.