Summarize Categorical Raster (Image Analyst)

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.

Sintaxis

SummarizeCategoricalRaster(in_raster, out_table, {dimension}, {aoi}, {aoi_id_field})

Parámetro	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

SummarizeCategoricalRaster example 1 (Python window)

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")

SummarizeCategoricalRaster example 2 (stand-alone script)

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)

Entornos

Extensión

Información de licenciamiento

• Basic: Requiere Image Analyst
• Standard: Requiere Image Analyst
• Advanced: Requiere Image Analyst