| Etiqueta | Explicación | Tipo de datos |
Input Categorical Raster
| The input multidimensional, categorical raster. | Raster Dataset; Raster Layer; Mosaic Dataset; Mosaic Layer; Image Service; String |
Output Summary Table
| The output summary table. Geodatabase, database, text, Microsoft Excel, and comma-separated value (CSV) tables are supported. | Table |
Dimension
(Opcional) | The input dimension to use for the summary. If there is more than one dimension and no value is specified, all slices will be summarized using all combinations of dimension values. | String |
Area Of Interest
(Opcional) | The polygon feature layer containing the area or areas of interest to use when calculating the pixel count per category. If no area of interest is specified, the entire raster dataset will be included in the analysis. | Feature Layer |
Area Of Interest ID Field
(Opcional) | The field in the polygon feature layer that defines each area of interest. Text and integer fields are supported. | Field |
Disponible con licencia de Image Analyst.
Resumen
Genera una tabla que contiene el recuento de píxeles de cada clase, en cada porción de un ráster de categorías de entrada.
Uso
Use this tool to calculate the number of pixels in each category for every slice in a multidimensional, categorical raster dataset. For example, calculate the number of pixels in each land cover class for a multidimensional raster containing 30 years of land cover data.
The input raster dataset must have a raster attribute table. To generate a raster attribute table, use the Build Raster Attribute Table tool.
If the input raster has a Class_Name or ClassName field, the output table will use the names listed in that field. Otherwise, the output table will use class values from the Class_Value or ClassValue field. The field names are not case sensitive.
Entre los datasets ráster multidimensionales admitidos se incluyen los archivos de formato ráster de nube (CRF), datasets de mosaico multidimensionales o capas ráster multidimensionales generados por archivos netCDF, GRIB o HDF.
Parámetros
SummarizeCategoricalRaster(in_raster, out_table, {dimension}, {aoi}, {aoi_id_field})| Nombre | Explicación | Tipo de datos |
in_raster | The input multidimensional, categorical raster. | Raster Dataset; Raster Layer; Mosaic Dataset; Mosaic Layer; Image Service; String |
out_table | The output summary table. Geodatabase, database, text, Microsoft Excel, and comma-separated value (CSV) tables are supported. | Table |
dimension (Opcional) | The input dimension to use for the summary. If there is more than one dimension and no value is specified, all slices will be summarized using all combinations of dimension values. | String |
aoi (Opcional) | The polygon feature layer containing the area or areas of interest to use when calculating the pixel count per category. If no area of interest is specified, the entire raster dataset will be included in the analysis. | Feature Layer |
aoi_id_field (Opcional) | The field in the polygon feature layer that defines each area of interest. Text and integer fields are supported. | Field |
Muestra de código
This example generates a table containing the pixel count for each land cover category in 20 years of land cover data in the Boston area, within an area of interest.
# Import system modules
import arcpy
from arcpy.ia import *
# Check out the ArcGIS Image Analyst extension license
arcpy.CheckOutExtension("ImageAnalyst")
arcpy.ia.SummarizeCategoricalRaster("BostonLandCover2000_2020.crf",
"C:\Data\MyData.gdb\BostonLandCoverSummary", "StdTime", "C:\Data\MyData\AOI",
"Districts")This example generates a table containing the pixel count for each fire risk class in yearly data, within an area of interest.
# Import system modules
import arcpy
from arcpy.ia import *
# Check out the ArcGIS Image Analyst extension license
arcpy.CheckOutExtension("ImageAnalyst")
# Define input parameters
inputRaster = "C:/Data/YearlyFireRisk.crf"
outputTable = "C:/Data/FireRiskSummary.csv"
dimension = "StdTime"
aoi = "C:/Data/MyData.gdb/SanBernardinoMountainRange"
aoi_id_field = "WATERSHEDS"
# Execute
arcpy.ia.SummarizeCategoricalRaster(inputRaster, outputTable, dimension, aoi, aoi_id_field)Información de licenciamiento
- Basic: Requiere Image Analyst
- Standard: Requiere Image Analyst
- Advanced: Requiere Image Analyst