(Required)

List of input rasters. The input raster can be the Portal Item ID, Image Service URL, cloud raster dataset, or shared multidimensional raster dataset.

At least one type of input needs to be provided in the JSON object. If multiple inputs are given, the itemIds takes the priority.

Syntax: List of JSON object describing the input rasters.

inputMultidimensionalRaster={"itemIds": [<portal item id>, <portal item id>, <portal item id>]}
inputMultidimensionalRaster={"urls": [<image service url>, <image service url>, <image service url>]}
inputMultidimensionalRaster={"uris": [<cloud raster uri or shared data path>, <cloud raster uri or shared data path>]}

(Required)

Data identifying positions where you want a sample taken.

The input can be an image service or a feature service.

Syntax: JSON object describing the input raster or feature. At least one type of input needs to be provided in the JSON object. If multiple inputs are given, the itemid takes the priority.

("itemId": <portal item id>}
{“url”: <image service or feature service url>}
{“uri”: <cloud raster uri or shared data path>}

(Required)

Name of the output table or feature service holding the sampled cell values.

Syntax: JSON object describing the output table

outputName={"serviceProperties": {“name”:”sample_output”}}

Resampling algorithm used when sampling a raster.

• NEAREST—Nearest neighbor assignment. This is the default.
• BILINEAR—Bilinear interpolation
• CUBIC—Cubic convolution

Syntax: A string representing the resamplingType.

resamplingType=NEAREST

A field containing a different value for every location or feature in the input location raster or point features.

Syntax: A string representing the field.

uniqueIdField=FID

Specify the time, depth or other acquisition data associated with the location features.

Statistics will be calculated for variables within the dimension range of the following combinations:

• Dimension + Start field or value
• Dimension + Start field or value + End field or value
• Dimension + Start field or value + Relative value or days before + Relative value or days after

Only non-negative values are supported for the following:

• Relative value or days before
• Relative value or days after

Syntax: a list of dictionary objects.

[{"dimension": "Dimension","startFieldOrVal": "Start field or value","endFieldOrVal": "End field or value","relValOrDaysBefore": "Relative value or days before","relValOrDaysAfter": "Relative value or days after"}]

[{"dimension": "Dimension","startFieldOrVal": "1999-01-01T00:00:00","endFieldOrVal": "2019-01-01T00:00:00"}]

The type of statistic to be calculated.

• MINIMUM—Finds the minimum value within the specified range.
• MAXIMUM—Finds the maximum value within the specified range.
• MEDIAN—Finds the median value within the specified range.
• MEAN—Calculates the average for the specified range.
• SUM—Calculates the sum of the variables within the specified range.
• MAJORITY—Finds the value that occurs most frequently.
• MINORITY—Finds the value that occurs least frequently.
• STD—Calculates the standard deviation.
• PERCENTILE—Calculates a defined percentile within the specified range.

A string representing the statisticsType.

statisticsType=MINIMUM

The percentile to calculate when the statisticsType parameter is set to PERCENTILE.

This value can range from 0 to 100. The default is 90.

Syntax: A double representing the percentileValue.

percentileValue=50

The specified distance around the location data features. The buffer distance is specified in the linear unit of the location feature's spatial reference. If the feature uses a geographic reference, the unit will be in degrees.

Statistics will be calculated within this buffer area.

Syntax: A value representing the bufferDistance.

bufferDistance=10

Syntax: A string representing the buffer distance field in the inLocationData.

bufferDistance=buffer_field

Specifies whether sampled values appear in rows or columns in the output table.

• ROW_WISE—Sampled values appear in separate rows in the output table. This is the default.
• COLUMN_WISE—Sampled values appear in separate columns in the output table. This option is only valid when the input multidimensional raster contains one variable and one dimension, and each slice is a single-band raster.

Syntax: A string of one of the keywords.

layout=COLUMN_WISE

Boolean value to determine if this tool generates an output feature service containing a feature class with sampled values or only a table with sampled values. The default is false.

Values: true | false

(Optional)

Contains additional settings that affect task execution. This task has the following settings:

• Extent (extent)—A bounding box that defines the analysis area.
• Mask (mask)—Only cells that fall within the analysis mask will be considered in the operation.
• Output Spatial Reference (outSR)—The output raster will be projected into the output spatial reference.
• Parallel Processing Factor (parallelProcessingFactor)—The specified number or percentage of processes will be used for the analysis.

• Process as Multidimensional (processAsMultidimensional)—A Boolean that determines how the input rasters will be processed. This option is only available when the input is a single, multidimensional raster. The default value is False.

  • True—Samples will be taken for all dimensions (such as time or depth) of a multidimensional dataset.
  • False—Samples will be taken from the current slice of a multidimensional dataset. This is the default.

• Resampling Method (resamplingMethod)—Specifies the resampling method that will be used when creating the raster dataset for download.
  • NEAREST—The value of the closest cell will be used to assign a value to the output cell when resampling. This is the default.
  • BILINEAR—The new value of a cell will be based on a weighted distance average of the four nearest input cell centers.
  • CUBIC—The new value of a cell will be based on fitting a smooth curve through the 16 nearest input cell centers.

context={"parallelProcessingFactor": "4"}

The response format. The default response format is html.

Values: html | json

The output feature service itemId and URL:

{"url": "https://<raster analysis url>/Sample/jobs/<jobId>/results/outSample"}

The result has properties for parameter name, data type, and value. The content of the value is always the output raster dataset's itemId and image service URL.

{
  "paramName": "outSample",
  "dataType": "GPString",
  "value": {
    "itemId": "c267610d0feb4370bf38cc6e2c4ac261",
    "url": "https://<server name>/arcgis/rest/services/Hosted/<service name>/FeatureServer"
  }
}