Detect Change Using Change Analysis Raster (Image Analyst)

Disponible con licencia de Image Analyst.

Resumen

Genera un ráster que contiene información de cambios de píxel utilizando el ráster de análisis de cambios de salida de la herramienta Analizar cambios usando CCDC.

Uso

• This tool uses the output change analysis raster generated from the Analyze Changes Using CCDC tool to generate a raster containing pixel change information. The change analysis raster contains information about how each pixel has changed over time. Harmonic regression is used to fit the pixel value's changes to a curve, and large changes in that curve are considered potential land use or land cover changes.

• The Change Type parameter indicates the information that will be generated. Information is extracted from the change analysis raster. There are four options:

  • Time of latest change—The most recent date and time at which a pixel was flagged as being changed
  • Time of earliest change—The earliest date and time at which a pixel was flagged as being changed
  • Time of largest change—The date and time at which the calculated change was the most significant for a pixel
  • Number of changes—The total number of times the pixel changed

• The output raster is a multiband raster in which each band contains change information depending on the change type selected and the maximum number of changes specified. For example, if the Change Type parameter is set to Time of earliest change and the Maximum Number of Changes parameter is set to 2, the tool calculates the two earliest dates when change occurred throughout the time series for every pixel. The result is a raster in which the first band contains the dates of the earliest change per pixel, and the second band contains the dates of the second-earliest change per pixel.

Sintaxis

DetectChangeUsingChangeAnalysisRaster(in_change_analysis_raster, {change_type}, {max_number_changes})

Parámetro	Explicación	Tipo de datos
in_change_analysis_raster	The multidimensional change analysis raster generated from the Analyze Changes Using CCDCtool. Currently, only a change analysis raster in Cloud Raster Format (.crf) is supported.	Raster Dataset; Raster Layer; Image Service
change_type (Opcional)	Specifies the change information to calculate for each pixel. TIME_OF_LATEST_CHANGE —Each pixel will contain the date of its most recent change in the time series. This is the default. TIME_OF_EARLIEST_CHANGE —Each pixel will contain the date of its earliest change in the time series. TIME_OF_LARGEST_CHANGE —Each pixel will contain the date of its most significant change in the time series. NUM_OF_CHANGES —Each pixel will contain the total number of times it changed in the time series.	String
max_number_changes (Opcional)	The maximum number of changes per pixel that will be calculated when the change_type parameter is set to TIME_OF_LATEST_CHANGE, TIME_OF_EARLIEST_CHANGE, or TIME_OF_LARGEST_CHANGE. This number corresponds to the number of bands in the output raster. The default is 1, meaning only one change date will be calculated, and the output raster will contain only one band.	Long

Valor de retorno

Nombre	Explicación	Tipo de datos
out_raster	The output raster containing the detected change information.	Raster

Muestra de código

DetectChangeUsingChangeAnalysisRaster example 1 (Python window)

This example returns the most recent date at which pixels changed in a NDVI time series.

# Import system modules
import arcpy
from arcpy.ia import *

# Check out the ArcGIS Image Analyst extension license
arcpy.CheckOutExtension("ImageAnalyst")

# Execute
dateOfLatestChange = arcpy.ia.DetectChangeUsingChangeAnalysis(
	"Monthly_NDVI_Change_Analysis.crf", "TIME_OF_LATEST_CHANGE", 1)

# Save output
dateOfLatestChange.save(r"C:\data\NDVI_LatestChanges.crf")

DetectChangeUsingChangeAnalysisRaster example 2 (stand-alone script)

This example returns the total number of times the pixels changed in a Landsat time series.

# Import system modules
import arcpy
from arcpy.ia import *

# Check out the ArcGIS Image Analyst extension license
arcpy.CheckOutExtension("ImageAnalyst")

# Define input parameters
in_change_analysis = r"C:\data\Landsat_ChangeAnalysis.crf"
change_type = "NUM_OF_CHANGES"

# Execute
number_of_changes = arcpy.ia.DetectChangeUsingChangeAnalysis(
	in_change_analysis, change_type)

# Save output
number_of_changes.save("C:/data/NumberOfChanges_Landsat.crf")

Entornos

Tamaño de celda, Compresión, Espacio de trabajo actual, Transformaciones geográficas, NoData, Palabra clave CONFIG de salida, Sistema de coordenadas de salida, Extensión, Factor de procesamiento en paralelo, Estadísticas de ráster, Método de remuestreo, Espacio de trabajo temporal, Ráster de alineación, Tamaño de tesela

Información de licenciamiento

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