Build Multidimensional Transpose
- URL:https://<rasteranalysistools-url>/BuildMultidimensionalTranspose
- Related Resources: Add Image, Aggregate Multidimensional Raster, Build Multidimensional Transpose, Calculate Density, Calculate Distance, Calculate Travel Cost, Classify, Classify Object Using Deep Learning, Classify Pixels Using Deep Learning, Convert Feature to Raster, Convert Raster Function Template, Convert Raster to Feature, Copy Raster, Cost Path as Polyline, Create Image Collection, Create Viewshed, Delete Image, Delete Image Collection, Detect Objects Using Deep Learning, Determine Optimum Travel Cost Network, Determine Travel Cost Paths to Destinations, Determine Travel Cost Path as Polyline, Export Training Data for Deep Learning, Fill, Find Argument Statistics, Flow Accumulation, Flow Direction, Flow Distance, Generate Multidimensional Anomaly, Generate Raster, Generate Trend Raster, Install Deep Learning Model, Interpolate Points, Linear Spectral Unmixing, List Deep Learning Model Info, Nibble, Predict Using Trend Raster, Publish Deep Learning Model, Query Deep Learning Model Info, Segment, Stream Link, Subset Multidimensional Raster, Summarize Raster Within, Train Classifier, Train Deep Learning Model,Uninstall Deep Learning Model, Watershed
- Version Introduced:10.8
Description
The BuildMultidimensionalTranspose task transposes a multidimensional raster dataset, which divides the multidimensional data along each dimension to optimize performance when accessing pixel values across all slices.
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The input multidimensional raster must be in Cloud Raster Format (CRF). Currently, no other formats are supported. To convert a mosaic dataset or NetCDF file to a multidimensional CRF, use the Create Imagery Layer tool, export to CRF, and select Process as Multidimensional.
Request parameters
Parameter | Details |
---|---|
inputMultidimensionalRaster (Required) | The portal folder ID, portal item ID, image service URL, cloud multidimensional raster dataset, or shared multidimensional raster dataset. At least one type of input must be provided in the JSON object. If multiple inputs are given, the itemId takes priority. Syntax: A JSON object describes the input multidimensional raster.
|
deleteTranspose | Specifies whether to delete an existing transpose. If set to true, the existing transpose will be deleted and no new transpose will be built. If set to false, a new transpose will be build. If there is an existing transpose, it will be overwritten. The default is false. Values: true | false |
context | Contains additional settings that affect task execution. This task has the following setting:
|
f | The response format. The default response format is html. Values: html | json |
Example usage
Below is a sample request URL for BuildMultidimensionalTranspose:
https://machine.domain.com/webadaptor/rest/services/System/RasterAnalysisTools/GPServer/BuildMultidimensionalTranspose?inputMultidimensionalRaster={"itemId": "1780d648db3545bba8661ad98df824a4"}&deleteTranspose=false&context=&f=json
Response
When you submit a request, the task assigns a unique job ID for the transaction.
Syntax:
{ "jobId": "<unique job identifier>", "jobStatus": "<job status>" }
After the initial request is submitted, you can use the jobId to periodically check the status of the job and messages, as described in Check job status. Once the job has successfully completed, use the jobId to retrieve the results. To track the status, you can make a request of the following form:
https://<rasterAnalysisTools-url>/BuildMultidimensionalTranspose/jobs/<jobId>
Accessing results
When the status of the job request is esriJobSucceeded, you can access the results of the analysis by making a request of the following form:
https://<rasterAnalysisTools-url>/BuildMultidimensionalTranspose/jobs/<jobId>/results/result
Parameter | Details |
---|---|
outputMultidimensionalRaster | The image service URL. Example
The result has properties for parameter name, data type, and value. The content of the value is always the image service URL.
|
JSON Response example
The response returns the results output parameter, which has properties for parameter name, data type, and value. The content of value is always the image service URL.
{
"paramName": "result",
"dataType": "GPString",
"value": {
"url": "https://machine.domain.com/webadaptor/rest/services/Hosted/<service name>/ImageServer"
}
}