DetectChangeUsingChangeAnalysis

Disponible avec une licence Image Analyst.

Résumé

Uses a change analysis raster to create a raster object containing date of change information.

The change analysis raster is generated with the Analyze Changes Using CCDC tool or the Analyze Changes Using LandTrendr tool.

Discussion

For more information on how this function works, see the Detect Change Using Change Analysis raster function.

The referenced raster dataset for the raster object is temporary. To make it permanent, you can call the raster object's save method.

Syntaxe

DetectChangeUsingChangeAnalysis (raster, {change_type}, {max_number_of_changes}, {segment_date}, {change_direction}, {filter_by_year}, {min_year}, {max_year}, {filter_by_duration}, {min_duration}, {min_duration}, {filter_by_magnitude}, {min_magnitude}, {max_magnitude})

Paramètre	Explication	Type de données
raster	The input change analysis raster generated with the Analyze Changes Using CCDC tool or the Analyze Changes Using LandTrendr tool.	Raster
change_type	Specifies the type of change to be extracted from the change analysis raster. TIME_OF_LATEST_CHANGE —Each pixel will contain the date of the most recent change for that pixel in the time series. This is the default. TIME_OF_EARLIEST_CHANGE —Each pixel will contain the date of the earliest change for that pixel in the time series. TIME_OF_LARGEST_CHANGE —Each pixel will contain the date of the most significant change for that pixel in the time series. NUM_OF_CHANGES —Each pixel will contain the total number of times the pixel changed in the time series. TIME_OF_LONGEST_CHANGE —Each pixel contains the date of change at the beginning or end of the longest transition segment in the time series. TIME_OF_SHORTEST_CHANGE —Each pixel contains the date of change at the beginning or end of the shortest transition segment in the time series. TIME_OF_FASTEST_CHANGE —Each pixel contains the date of change at the beginning or end of the transition that occurred most quickly. TIME_OF_SLOWEST_CHANGE —Each pixel contains the date of change at the beginning or end of the transition that occurred most slowly. (La valeur par défaut est TIME_OF_LATEST_CHANGE)	String
max_number_of_changes	The maximum number of changes per pixel to be calculated. 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. This parameter is not available when the change_type parameter is set to NUM_OF_CHANGES. (La valeur par défaut est 1)	Integer
segment_date	Specifies whether to extract the date at the beginning of a change segment, or the end. This parameter is available only when the input change analysis raster is the output from the Analyze Changes Using LandTrendr tool. BEGINNING_OF_SEGMENT —Extract the date at the beginning of a change segment. This is the default. END_OF_SEGMENT —Extract the date at the end of a change segment. (La valeur par défaut est BEGINNING_OF_SEGMENT)	String
change_direction	Specifies the direction of change to be included in the analysis. This parameter is available only when the input change analysis raster is the output from the Analyze Changes Using LandTrendr tool. ALL —All change directions are included in the output. This is the default. INCREASE —Only change in the positive or increasing direction is included in the output. DECREASE —Only change in the negative or decreasing direction is included in the output. (La valeur par défaut est ALL)	String
filter_by_year	Specifies whether to filter by a range of years. True—Filter results so that only changes that occurred within a specific range of years are included in the output. False—Do not filter results by year. This is the default. (La valeur par défaut est False)	Boolean
min_year	The earliest year to use to filter results. This parameter is required if the filter_by_year parameter is set to True. (La valeur par défaut est 1970)	Double
max_year	The latest year to use to filter results. This parameter is required if the filter_by_year parameter is set to True. (La valeur par défaut est 2020)	Double
filter_by_duration	Specifies whether to filter by the duration of a change event. True—Filter results by duration so that only the changes that lasted a given amount of time are included in the output. False—Do not filter results by duration. This is the default. (La valeur par défaut est False)	Boolean
min_duration	The minimum number of consecutive years to include in the results. This parameter is required if the filter_by_duration parameter is set to True. (La valeur par défaut est 0)	Double
min_duration	The maximum number of consecutive years to include in the results. This parameter is required if the filter_by_duration parameter is set to True. (La valeur par défaut est 50)	Double
filter_by_magnitude	Specifies whether to filter by the magnitude of change. True—Filter results by magnitude so that only the changes of a given magnitude are included in the output. False—Do not filter results by magnitude. This is the default. (La valeur par défaut est False)	Boolean
min_magnitude	The minimum change magnitude to include in the results. This parameter is required if the filter_by_magnitude parameter is set to True. (La valeur par défaut est -50)	Double
max_magnitude	The maximum change magnitude to include in the results. This parameter is required if the filter_by_magnitude parameter is set to True. (La valeur par défaut est 50)	Double

Valeur renvoyée

Type de données	Explication
Raster	The raster object containing detected change information.

Exemple de code

DetectChangeUsingChangeAnalysis example

Extracts the dates of change for the three largest changes from the change analysis raster.

import arcpy
from arcpy.ia import *

arcpy.CheckOutExtension("ImageAnalyst")

change_analysis_raster = arcpy.Raster('Landsat_CCDC.crf', True)

# Detect the dates of the three largest changes in pixel values over time
largest_change = arcpy.ia.DetectChangeUsingChangeAnalysis(
	change_analysis_raster, "TIME_OF_LARGEST_CHANGE", 3)