{"_id":"5a9457c0e6e53200638aab27","project":"55faeacad0e22017005b8265","version":{"_id":"55faeacad0e22017005b8268","project":"55faeacad0e22017005b8265","__v":37,"createdAt":"2015-09-17T16:31:06.800Z","releaseDate":"2015-09-17T16:31:06.800Z","categories":["55faeacbd0e22017005b8269","55faf550764f50210095078e","55faf5b5626c341700fd9e96","55faf8a7825d5f19001fa386","560052f91503430d007cc88f","560054f73aa0520d00da0b1a","56005aaf6932a00d00ba7c62","56005c273aa0520d00da0b3f","5601ae7681a9670d006d164d","5601ae926811d00d00ceb487","5601aeb064866b1900f4768d","5601aee850ee460d0002224c","5601afa02499c119000faf19","5601afd381a9670d006d1652","561d4c78281aec0d00eb27b6","561d588d8ca8b90d00210219","563a5f934cc3621900ac278c","5665c5763889610d0008a29e","566710a36819320d000c2e93","56ddf6df8a5ae10e008e3926","56e1c96b2506700e00de6e83","56e1ccc4e416450e00b9e48c","56e1ccdfe63f910e00e59870","56e1cd10bc46be0e002af26a","56e1cd21e416450e00b9e48e","56e3139a51857d0e008e77be","573b4f62ef164e2900a2b881","57c9d1335fd8ca0e006308ed","57e2bd9d1e7b7220000d7fa5","57f2b992ac30911900c7c2b6","58adb5c275df0f1b001ed59b","58c81b5c6dc7140f003c3c46","595412446ed4d9001b3e7b37","59e76ce41938310028037295","5a009de510890d001c2aabfe","5a96f89c89442e002041144b","5b3f9b7267cbc90003d283a5"],"is_deprecated":false,"is_hidden":false,"is_beta":false,"is_stable":true,"codename":"v1","version_clean":"1.0.0","version":"1"},"category":{"_id":"573b4f62ef164e2900a2b881","__v":0,"project":"55faeacad0e22017005b8265","version":"55faeacad0e22017005b8268","sync":{"url":"","isSync":false},"reference":false,"createdAt":"2016-05-17T17:05:38.443Z","from_sync":false,"order":9,"slug":"algorithm-guide","title":"Algorithms"},"user":"5a904b636bddb90012a75607","__v":0,"parentDoc":null,"updates":[],"next":{"pages":[],"description":""},"createdAt":"2018-02-26T18:53:52.598Z","link_external":false,"link_url":"","githubsync":"","sync_unique":"","hidden":false,"api":{"results":{"codes":[]},"settings":"","auth":"required","params":[],"url":""},"isReference":false,"order":27,"body":"### Imagery Examples\n\n\n[block:image]\n{\n  \"images\": [\n    {\n      \"image\": [\n        \"https://files.readme.io/0523a5e-eniv_class_agg_before_web.jpg\",\n        \"eniv_class_agg_before_web.jpg\",\n        566,\n        400,\n        \"#82756b\"\n      ],\n      \"caption\": \"WorldView 2 image after AOP correction\"\n    }\n  ]\n}\n[/block]\n\n[block:image]\n{\n  \"images\": [\n    {\n      \"image\": [\n        \"https://files.readme.io/a2b7525-eniv_class_agg_after_web.jpg\",\n        \"eniv_class_agg_after_web.jpg\",\n        566,\n        400,\n        \"#c8be42\"\n      ],\n      \"caption\": \"WorldView 2 image after aggregation\"\n    }\n  ]\n}\n[/block]\n### Quickstart\nThis is a workflow example for basic processing.\n[block:code]\n{\n  \"codes\": [\n    {\n      \"code\": \"# Quickstart Example running the task name.\\n\\n# Initialize the Environment.\\nfrom os.path import join, split\\nfrom gbdxtools import Interface\\ngbdx = Interface()\\n\\ntasks = []\\noutput_location = 'ENVI/ClassificationClumping'\\n\\ncat_id = '105001000672E000'\\n\\n# Image Auto ordering task parameters\\norder = gbdx.Task(\\\"Auto_Ordering\\\")\\norder.inputs.cat_id = cat_id\\norder.impersonation_allowed = True\\norder.persist = True\\norder.timeout = 36000\\ntasks += [order]\\n\\n# Image AOP task parameters\\naop = gbdx.Task(\\\"AOP_Strip_Processor\\\")\\naop.inputs.data = order.outputs.s3_location.value\\naop.inputs.bands = 'MS'\\naop.inputs.enable_dra = False\\naop.outputs.data.persist = True\\naop.outputs.data.persist_location = output_location+'/aop'\\naop.timeout = 36000\\ntasks += [aop]\\n\\n# Create a basic classification\\nenvi_isodata = gbdx.Task(\\\"ENVI_ISODATAClassification\\\")\\nenvi_isodata.inputs.input_raster = aop.outputs.data.value\\ntasks += [envi_isodata]\\n\\n# Seive the classification\\nenvi_sieve = gbdx.Task(\\\"ENVI_ClassificationSieving\\\")\\nenvi_sieve.inputs.input_raster = envi_isodata.outputs.output_raster_uri.value\\ntasks += [envi_sieve]\\n\\n# Clump the classification\\nenvi_clump = gbdx.Task(\\\"ENVI_ClassificationClumping\\\")\\nenvi_clump.inputs.input_raster = envi_sieve.outputs.output_raster_uri.value\\ntasks += [envi_clump]\\n\\nworkflow = gbdx.Workflow(tasks)\\nworkflow.savedata(\\n    envi_clump.outputs.output_raster_uri, location=output_location\\n)\\n\\nworkflow.execute()\",\n      \"language\": \"python\"\n    }\n  ]\n}\n[/block]\n\n### Inputs\nThe following table lists all ENVI_ClassificationClumping inputs.\nMandatory (optional) settings are listed as Required = True (Required = False).\n\n  Name  |  Required  |  Default  |  Valid Values  |  Description  \n--------|:----------:|-----------|----------------|---------------\nfile_types|False|N/A|string|GBDX Option. Comma seperated list of permitted file type extensions. Use this to filter input files -- Value Type: STRING`[*]`\ninput_raster|True|N/A|[See ENVIRASTER input type](https://gbdxdocs.digitalglobe.com/docs/envi-task-engine#section-enviraster)|Specify a raster on which to perform classification clumping. -- Value Type: ENVIRASTER\ninput_raster_format|False|N/A|[See ENVIRASTER input type](https://gbdxdocs.digitalglobe.com/docs/envi-task-engine#section-enviraster)|Provide the format of the image, for example: landsat-8. -- Value Type: STRING\ninput_raster_band_grouping|False|N/A|[See ENVIRASTER input type](https://gbdxdocs.digitalglobe.com/docs/envi-task-engine#section-enviraster)|Provide the name of the band grouping to be used in the task, ie - panchromatic. -- Value Type: STRING\ninput_raster_filename|False|N/A|[See ENVIRASTER input type](https://gbdxdocs.digitalglobe.com/docs/envi-task-engine#section-enviraster)|Provide the explicit relative raster filename that ENVI will open. This overrides any file lookup in the task runner. -- Value Type: STRING\ndilate_kernel|False| `[`[1, 1, 1]`, `[1, 1, 1]`, `[1, 1, 1]`]`|string|Specify 2D array of zeros and ones that represents the structuring element (kernel) used for a dilate operation. If no kernel is specified, a 3 x 3 array will be used with a value of 1 for all of the array elements. Dilation is a morphological operation that uses a structuring element to expand the shapes contained in the input image. -- Value Type: UINTARRAY -- Default Value: `[`[1, 1, 1]`, `[1, 1, 1]`, `[1, 1, 1]`]`\nerode_kernel|False| `[`[1, 1, 1]`, `[1, 1, 1]`, `[1, 1, 1]`]`|string|Specify 2D array of zeros and ones that represents the structuring element (kernel) used for an erode operation. If no kernel is specified, a 3 x 3 array will be used with a value of 1 for all of the array elements. Erosion is a morphological operation that uses a structuring element to reduce the shapes contained in the input image. -- Value Type: UINTARRAY -- Default Value: `[`[1, 1, 1]`, `[1, 1, 1]`, `[1, 1, 1]`]`\nclass_order|False|N/A|string|Specify the order of class names in which clumping is applied to the classification image. If you do not specify this property, the classes are processed from first to last. -- Value Type: STRINGARRAY\noutput_raster_uri_filename|False|N/A|string|Specify a string with the fully-qualified path and filename for OUTPUT_RASTER. -- Value Type: STRING\n\n\n### Outputs\n\nThe following table lists all ENVI_ClassificationClumping outputs.\nMandatory (optional) settings are listed as Required = True (Required = False).\n\n  Name  |  Required  |  Default  |  Valid Values  |  Description\n--------|:----------:|-----------|----------------|---------------\ntask_meta_data|False|N/A|directory|GBDX Option. Output location for task meta data such as execution log and output JSON\noutput_raster_uri|True|N/A|directory|Output for OUTPUT_RASTER. -- Value Type: ENVIURI\n\n\n**Output structure**\n\nThe output_raster_uri file will be written to the specified S3 Customer Account Location.\n\n### Background\nFor additional background information on this task please refer to the [Harris Geospatial ENVI documentation](http://www.harrisgeospatial.com/docs/home.html) and \n[ENVI® Classification Clumping](http://www.harrisgeospatial.com/docs/enviclassificationclumpingtask.html). \n\n### Contact\nIf you have any questions or issues with this task, please contact [gbdx-support:::at:::digitalglobe.com](mailto:gbdx-support@digitalglobe.com).","excerpt":"This task aggregates smaller class regions to a larger, adjacent region as part of the classification cleanup.  The ENVI Classification Aggregation Task requires that the image has been pre-processed using the Advanced Image Preprocessor, and that a classification has been run on the output from preprocessing. \n\n**GBDX Registered Name:** ENVI_ClassificationAggregation\n**Provider:** Harris Geospatial Solutions","slug":"envi-classification-aggregation","type":"basic","title":"ENVI® Classification Aggregation"}

ENVI® Classification Aggregation

This task aggregates smaller class regions to a larger, adjacent region as part of the classification cleanup. The ENVI Classification Aggregation Task requires that the image has been pre-processed using the Advanced Image Preprocessor, and that a classification has been run on the output from preprocessing. **GBDX Registered Name:** ENVI_ClassificationAggregation **Provider:** Harris Geospatial Solutions

### Imagery Examples [block:image] { "images": [ { "image": [ "https://files.readme.io/0523a5e-eniv_class_agg_before_web.jpg", "eniv_class_agg_before_web.jpg", 566, 400, "#82756b" ], "caption": "WorldView 2 image after AOP correction" } ] } [/block] [block:image] { "images": [ { "image": [ "https://files.readme.io/a2b7525-eniv_class_agg_after_web.jpg", "eniv_class_agg_after_web.jpg", 566, 400, "#c8be42" ], "caption": "WorldView 2 image after aggregation" } ] } [/block] ### Quickstart This is a workflow example for basic processing. [block:code] { "codes": [ { "code": "# Quickstart Example running the task name.\n\n# Initialize the Environment.\nfrom os.path import join, split\nfrom gbdxtools import Interface\ngbdx = Interface()\n\ntasks = []\noutput_location = 'ENVI/ClassificationClumping'\n\ncat_id = '105001000672E000'\n\n# Image Auto ordering task parameters\norder = gbdx.Task(\"Auto_Ordering\")\norder.inputs.cat_id = cat_id\norder.impersonation_allowed = True\norder.persist = True\norder.timeout = 36000\ntasks += [order]\n\n# Image AOP task parameters\naop = gbdx.Task(\"AOP_Strip_Processor\")\naop.inputs.data = order.outputs.s3_location.value\naop.inputs.bands = 'MS'\naop.inputs.enable_dra = False\naop.outputs.data.persist = True\naop.outputs.data.persist_location = output_location+'/aop'\naop.timeout = 36000\ntasks += [aop]\n\n# Create a basic classification\nenvi_isodata = gbdx.Task(\"ENVI_ISODATAClassification\")\nenvi_isodata.inputs.input_raster = aop.outputs.data.value\ntasks += [envi_isodata]\n\n# Seive the classification\nenvi_sieve = gbdx.Task(\"ENVI_ClassificationSieving\")\nenvi_sieve.inputs.input_raster = envi_isodata.outputs.output_raster_uri.value\ntasks += [envi_sieve]\n\n# Clump the classification\nenvi_clump = gbdx.Task(\"ENVI_ClassificationClumping\")\nenvi_clump.inputs.input_raster = envi_sieve.outputs.output_raster_uri.value\ntasks += [envi_clump]\n\nworkflow = gbdx.Workflow(tasks)\nworkflow.savedata(\n envi_clump.outputs.output_raster_uri, location=output_location\n)\n\nworkflow.execute()", "language": "python" } ] } [/block] ### Inputs The following table lists all ENVI_ClassificationClumping inputs. Mandatory (optional) settings are listed as Required = True (Required = False). Name | Required | Default | Valid Values | Description --------|:----------:|-----------|----------------|--------------- file_types|False|N/A|string|GBDX Option. Comma seperated list of permitted file type extensions. Use this to filter input files -- Value Type: STRING`[*]` input_raster|True|N/A|[See ENVIRASTER input type](https://gbdxdocs.digitalglobe.com/docs/envi-task-engine#section-enviraster)|Specify a raster on which to perform classification clumping. -- Value Type: ENVIRASTER input_raster_format|False|N/A|[See ENVIRASTER input type](https://gbdxdocs.digitalglobe.com/docs/envi-task-engine#section-enviraster)|Provide the format of the image, for example: landsat-8. -- Value Type: STRING input_raster_band_grouping|False|N/A|[See ENVIRASTER input type](https://gbdxdocs.digitalglobe.com/docs/envi-task-engine#section-enviraster)|Provide the name of the band grouping to be used in the task, ie - panchromatic. -- Value Type: STRING input_raster_filename|False|N/A|[See ENVIRASTER input type](https://gbdxdocs.digitalglobe.com/docs/envi-task-engine#section-enviraster)|Provide the explicit relative raster filename that ENVI will open. This overrides any file lookup in the task runner. -- Value Type: STRING dilate_kernel|False| `[`[1, 1, 1]`, `[1, 1, 1]`, `[1, 1, 1]`]`|string|Specify 2D array of zeros and ones that represents the structuring element (kernel) used for a dilate operation. If no kernel is specified, a 3 x 3 array will be used with a value of 1 for all of the array elements. Dilation is a morphological operation that uses a structuring element to expand the shapes contained in the input image. -- Value Type: UINTARRAY -- Default Value: `[`[1, 1, 1]`, `[1, 1, 1]`, `[1, 1, 1]`]` erode_kernel|False| `[`[1, 1, 1]`, `[1, 1, 1]`, `[1, 1, 1]`]`|string|Specify 2D array of zeros and ones that represents the structuring element (kernel) used for an erode operation. If no kernel is specified, a 3 x 3 array will be used with a value of 1 for all of the array elements. Erosion is a morphological operation that uses a structuring element to reduce the shapes contained in the input image. -- Value Type: UINTARRAY -- Default Value: `[`[1, 1, 1]`, `[1, 1, 1]`, `[1, 1, 1]`]` class_order|False|N/A|string|Specify the order of class names in which clumping is applied to the classification image. If you do not specify this property, the classes are processed from first to last. -- Value Type: STRINGARRAY output_raster_uri_filename|False|N/A|string|Specify a string with the fully-qualified path and filename for OUTPUT_RASTER. -- Value Type: STRING ### Outputs The following table lists all ENVI_ClassificationClumping outputs. Mandatory (optional) settings are listed as Required = True (Required = False). Name | Required | Default | Valid Values | Description --------|:----------:|-----------|----------------|--------------- task_meta_data|False|N/A|directory|GBDX Option. Output location for task meta data such as execution log and output JSON output_raster_uri|True|N/A|directory|Output for OUTPUT_RASTER. -- Value Type: ENVIURI **Output structure** The output_raster_uri file will be written to the specified S3 Customer Account Location. ### Background For additional background information on this task please refer to the [Harris Geospatial ENVI documentation](http://www.harrisgeospatial.com/docs/home.html) and [ENVI® Classification Clumping](http://www.harrisgeospatial.com/docs/enviclassificationclumpingtask.html). ### Contact If you have any questions or issues with this task, please contact [gbdx-support@digitalglobe.com](mailto:gbdx-support@digitalglobe.com).