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Service Description: awra_historical/physical_ytd_crf_multivariable_all_data
Name: awra_historical/physical_ytd_crf_multivariable_all_data
Description:
Single Fused Map Cache: false
Extent:
XMin: 111.975
YMin: -44.025000000000006
XMax: 154.025
YMax: -9.975
Spatial Reference: 4326
(4326)
Initial Extent:
XMin: 111.975
YMin: -44.025000000000006
XMax: 154.025
YMax: -9.975
Spatial Reference: 4326
(4326)
Full Extent:
XMin: 111.975
YMin: -44.025000000000006
XMax: 154.025
YMax: -9.975
Spatial Reference: 4326
(4326)
Time Info:
Start Time Field: StdTime
End Time Field: StdTime_Max
Time Extent:
[2025/01/01 00:00:00 UTC, 2025/05/10 00:00:00 UTC]
Time Reference:
N/A
Pixel Size X: 0.05000000000000002
Pixel Size Y: 0.05000000000000001
Band Count: 1
Pixel Type: F32
RasterFunction Infos: {"rasterFunctionInfos": [
{
"name": "None",
"description": "Make a Raster or Raster Dataset into a Function Raster Dataset.",
"help": ""
},
{
"name": "e0_year",
"description": "A raster function table that categorises evaporation in mm to 10 categories and colours based on corporate colours for measurements in mm for monthly data.",
"help": "\n "
},
{
"name": "etot_year",
"description": "A raster function table that categorises modelled total evaporation in mm to 10 categories and colours based on corporate colours for measurements in mm for yearly data.",
"help": "\n "
},
{
"name": "qtot_year",
"description": "A raster function table that categorises runoff in mm to 10 categories and colours based on corporate colours for measurements in mm for yearly data.",
"help": "\n "
},
{
"name": "dd_year",
"description": "A raster function table that categorises deep drainage in mm to 10 categories and colours based on corporate colours for measurements in mm for yearly data.",
"help": "\n "
},
{
"name": "precip_year",
"description": "A raster function table that categorises precipitation in mm to 10 categories and colours based on corporate colours for measurements in mm for yearly data.",
"help": "\n "
},
{
"name": "smpfull",
"description": "A raster function table that categorises soil moisture in percent sull to 10 categories and colours based on corporate colours for measurements in percentages.",
"help": "\n "
},
{
"name": "None",
"description": "Make a Raster or Raster Dataset into a Function Raster Dataset.",
"help": ""
}
]}
Mensuration Capabilities: Basic
Has Histograms: true
Has Colormap: false
Has Multi Dimensions : true
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text:
Service Data Type: esriImageServiceDataTypeScientific
Min Values: 273.203369140625
Max Values: 1663.12548828125
Mean Values: 1067.6778770031021
Standard Deviation Values: 270.38922566780997
Object ID Field:
Fields:
None
Default Mosaic Method: Center
Allowed Mosaic Methods:
SortField:
SortValue: null
Mosaic Operator: First
Default Compression Quality: 10000
Default Resampling Method: Bilinear
Max Record Count: null
Max Image Height: 5000
Max Image Width: 5000
Max Download Image Count: null
Max Mosaic Image Count: null
Allow Raster Function: true
Allow Copy: true
Allow Analysis: true
Allow Compute TiePoints: false
Supports Statistics: false
Supports Advanced Queries: false
Use StandardizedQueries: true
Raster Type Infos:
Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:
Has Raster Attribute Table: false
Edit Fields Info: null
Ownership Based AccessControl For Rasters: null
Child Resources:
Info
Histograms
Statistics
Key Properties
Legend
Raster Function Infos
Multidimensional Info
Slices
Supported Operations:
Export Image
Identify
Measure
Compute Histograms
Compute Statistics Histograms
Get Samples
Compute Class Statistics
Query Boundary
Compute Pixel Location
Compute Angles
Validate
Project