This task takes two classification images of the same scene taken at different times and identifies differences between them. The resulting classification image shows class transitions, for example, from class 1 to class 2. Thematic change detection can be used to analyze land use, land cover change, deforestation, urbanization, agricultural expansion, water variability, and more.
            Example
            This example creates a thematic change classification image that shows deforestation in an area of the Amazon rainforest between 1984 and 2013, using Landsat imagery. The two images are available from our ENVI Tutorials web page. Click the Landsat Case Studies link to download the .zip file to your machine, then unzip the files. The files you will use are located in the Deforestation folder of the download. Update the file references in the example with the correct locations.
            
            e = ENVI()
             
            
            Time1File = 'LandsatAmazon1984.dat'
            Time1Raster = e.OpenRaster(Time1File)
            Time2File = 'LandsatAmazon2013.dat'
            Time2Raster = e.OpenRaster(Time2File)
             
            
            
            
            Time1Subset = ENVISubsetRaster(Time1Raster, BANDS=[5])
            Time2Subset = ENVISubsetRaster(Time2Raster, BANDS=[6])
             
            
            DataColl = e.Data
             
            
            
            IntTask = ENVITask('ImageIntersection')
            IntTask.INPUT_RASTER1 = Time1Subset
            IntTask.INPUT_RASTER2 = Time2Subset
            IntTask.Execute
             
            
            ISODATA1Task = ENVITask('ISODATAClassification')
             
            
            ISODATA1Task.INPUT_RASTER = IntTask.OUTPUT_RASTER1
            ISODATA1Task.NUMBER_OF_CLASSES = 2
            ISODATA1Task.Execute
            Time1ClassRaster = ISODATA1Task.OUTPUT_RASTER
             
            
            Time1Metadata = Time1ClassRaster.METADATA
            Time1Metadata.UpdateItem, 'CLASS LOOKUP', $
              [[0,0,0], [0,128,0], [200,200,200]]
            Time1Metadata.UpdateItem, 'CLASS NAMES', $
              ['Unclassified','Vegetation','No Vegetation']
             
            
            DataColl.Add, Time1ClassRaster
             
            
            ISODATA2Task = ENVITask('ISODATAClassification')
            ISODATA2Task.INPUT_RASTER = IntTask.OUTPUT_RASTER2
            ISODATA2Task.NUMBER_OF_CLASSES = 2
            ISODATA2Task.Execute
            Time2ClassRaster = ISODATA2Task.OUTPUT_RASTER
             
            
            Time2Metadata = Time2ClassRaster.METADATA
            Time2Metadata.UpdateItem, 'CLASS LOOKUP', $
              [[0,0,0], [0,128,0], [200,200,200]]
            Time2Metadata.UpdateItem, 'CLASS NAMES', $
              ['Unclassified','Vegetation','No Vegetation']
             
            
            DataColl.Add, Time2ClassRaster
             
            
            Task = ENVITask('ThematicChange')
            Task.INPUT_RASTER1 = Time1ClassRaster
            Task.INPUT_RASTER2 = Time2ClassRaster
            Task.MERGE_NO_CHANGE = 'True'
            Task.OUTPUT_RASTER_URI = e.GetTemporaryFilename()
            Task.Execute
            DataColl.Add, Task.OUTPUT_RASTER
             
            
            View = e.GetView()
            Layer = View.CreateLayer(Task.OUTPUT_RASTER)
            View.Zoom, /FULL_EXTENT
            Syntax
            Result = ENVITask('ThematicChange')
            Input parameters (Set, Get): INPUT_RASTER1, INPUT_RASTER2, MERGE_NO_CHANGE, OUTPUT_RASTER_URI
            Output parameters (Get only): OUTPUT_RASTER
            Parameters marked as "Set" are those that you can set to specific values. You can also retrieve their current values any time. Parameters marked as "Get" are those whose values you can retrieve but not set.
            Input Parameters
            INPUT_RASTER1 (required)
            Specify a classification raster representing the earliest time.
            INPUT_RASTER2 (required)
            Specify a second classification raster representing the latest time.
            MERGE_NO_CHANGE (optional)
            If the two input classification images have the same number of classes that use the same class name, set this parameter to true to group them into a class named "no change" if there was no difference detected during processing. Set this parameter to false if the output is a new classification image that includes all class transition information. The default value is true.
            OUTPUT_RASTER_URI (optional)
            Specify a string with the fully qualified filename and path of the associated OUTPUT_RASTER.
            
                - If you do not specify this parameter, or set it to an exclamation symbol (!), ENVI creates a temporary file.
 
                - If you set it to the hash symbol (#), ENVI creates a file in the temporary directory, but this file will not be deleted when ENVI closes.
 
            
            Output Parameters
            OUTPUT_RASTER
            This is a reference to the output raster of filetype ENVI.
            Methods
            Execute             
            Parameter             
            ParameterNames
            
            Properties
            DESCRIPTION             
            DISPLAY_NAME
            
             NAME
            
             REVISION
            
             TAGS
            
            Version History
            
            See Also
            ENVITask, ISODATAClassification Task, MahalanobisDistanceClassification Task, MaximumLikelihoodClassification Task, MinimumDistanceClassification Task, SpectralAngleMapperClassification Task, Masking Support in ENVITasks