Summarize Categorical Raster (Image Analyst)

Disponible avec une licence Image Analyst.

Synthèse

Générer une table contenant le nombre de pixels pour chaque classe, dans chaque tranche d’un raster catégorique en entrée.

Utilisation

• 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.

• Parmi les jeux de données raster multidimensionnel pris en charge se trouvent le format Cloud Raster Format (CRF), les mosaïques multidimensionnelles ou les couches raster multidimensionnelles générées par des fichiers netCDF, GRIB ou HDF.

Paramètres

Boîte de dialogue

Étiquette	Explication	Type de données
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 (Facultatif)	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 (Facultatif)	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 (Facultatif)	The field in the polygon feature layer that defines each area of interest. Text and integer fields are supported.	Field

Python

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

Nom	Explication	Type de données
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 (Facultatif)	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 (Facultatif)	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 (Facultatif)	The field in the polygon feature layer that defines each area of interest. Text and integer fields are supported.	Field

Exemple de code

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)

Environnements

Étendue

Cas particuliers

Informations de licence

• Basic: Nécessite Image Analyst
• Standard: Nécessite Image Analyst
• Advanced: Nécessite Image Analyst