If the mask input is a feature, it will be converted to a raster internally, using the cell size and cell alignment from the Input raster.
More information is available in the Cell Size and Snap Raster environment topics. Either of these cases will trigger an internal resampling before the extraction operation is performed.
If the cell size is same, but the cells are not aligned, the Input raster will be used as the snap raster internally. If the cell size is different, the output cell size will be the maximum of the inputs, and the Input raster ( in_raster in Python) will be used as the snap raster internally. They will not be resampled internally during tool execution. When the Input raster ( in_raster in Python) and a raster Input raster mask or feature mask data data ( in_mask_data in Python) are of the same cell size, and the cells are aligned, they will be used directly in the tool. When a multiband raster is specified for the input raster mask, only the first band will be used in the operation. If an Esri Grid stack is specified as the output format, note that the name cannot start with a number, use spaces, or be more than nine characters in length. The default output format is a geodatabase raster. To process a selection of bands from a multiband raster, first create a new raster dataset composed of those particular bands with the Composite Bands tool, and use the result as the Input Raster ( in_raster in Python). When a multiband raster is specified as the Input Raster ( in_raster in Python), all bands will be used. Depending on the nature of the property being recorded, some of the attribute values may need to be recalculated. Illustration OutRas = ExtractByMask(InRas1, InMsk1) UsageĪdditional attributes from the input raster, if any, will be carried over as-is to the output raster attribute table. Extracts the cells of a raster that correspond to the areas defined by a mask.
0 kommentar(er)
