View In:
ArcGIS JavaScript
ArcGIS Online Map Viewer
ArcGIS Earth
Service Description: The Standardized Precipitation Index (SPI) is widely regarded as one of the most accessible tools for quantifying and reporting meteorological drought. At shorter timescales, SPI values are highly correlated with soil moisture, while at extended timescales, they reflect variations in groundwater and reservoir storage. The SPI model derives probability distributions from historical precipitation records, which are then normalized using an incomplete gamma function across multiple timescales. SPI values indicate the number of standard deviations the observed anomaly departs from the long-term period of record, with positive values corresponding to wetter-than-average conditions. These values are intended to provide an overall assessment of agricultural growing conditions within a region for a specified time period. On the monthly scale, time periods calculated are 1, 2, 3, 6, 9, 12, 18, 24 months. On the weekly scale, each ISO week is numbered from 1 to 52 (sometimes 53) within a year. An ISO week starts on Monday and ends on Sunday. The time periods can be filtered using the tType field in the service where a suffix "m" denotes a monthly time scale and "w" denotes a weekly time scale. Historical record goes back to 1980. Indices values were calculated using the xclim python package. For more information, visit: https://open.canada.ca/data/en/dataset/cdc59a23-ca37-4645-b96d-4e7737404e54
Name: nasdi/standardized_precipitation_index
Description: The Standardized Precipitation Index (SPI) is widely regarded as one of the most accessible tools for quantifying and reporting meteorological drought. At shorter timescales, SPI values are highly correlated with soil moisture, while at extended timescales, they reflect variations in groundwater and reservoir storage. The SPI model derives probability distributions from historical precipitation records, which are then normalized using an incomplete gamma function across multiple timescales. SPI values indicate the number of standard deviations the observed anomaly departs from the long-term period of record, with positive values corresponding to wetter-than-average conditions. These values are intended to provide an overall assessment of agricultural growing conditions within a region for a specified time period. On the monthly scale, time periods calculated are 1, 2, 3, 6, 9, 12, 18, 24 months. On the weekly scale, each ISO week is numbered from 1 to 52 (sometimes 53) within a year. An ISO week starts on Monday and ends on Sunday. The time periods can be filtered using the tType field in the service where a suffix "m" denotes a monthly time scale and "w" denotes a weekly time scale. Historical record goes back to 1980. Indices values were calculated using the xclim python package. For more information, visit: https://open.canada.ca/data/en/dataset/cdc59a23-ca37-4645-b96d-4e7737404e54
Single Fused Map Cache: false
Extent:
XMin: -2.0037507842788246E7
YMin: 1942475.858145211
XMax: 2.002424200497104E7
YMax: 2.003750834278928E7
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Initial Extent:
XMin: -2.0037507842788246E7
YMin: 1942475.858145211
XMax: 2.002424200497104E7
YMax: 2.003750834278928E7
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Full Extent:
XMin: -2.0037507842788246E7
YMin: 1942475.858145211
XMax: 2.002424200497104E7
YMax: 2.003750834278928E7
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Time Info:
Start Time Field: dateEnd
End Time Field: dateEnd
Time Extent:
[2015/01/11 12:00:00 UTC, 2026/04/26 12:00:00 UTC]
Time Reference:
N/A
Pixel Size X: 20377.28883405864
Pixel Size Y: 20377.288834058636
Band Count: 1
Pixel Type: F32
RasterFunction Infos: {"rasterFunctionInfos": [
{
"name": "nasdi_standardized_precipitation_index",
"description": "Standardized precipitation index (SPI)",
"help": ""
},
{
"name": "None",
"description": "Make a Raster or Raster Dataset into a Function Raster Dataset.",
"help": ""
}
]}
Mensuration Capabilities: Basic
Has Histograms: false
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text: Agriculture and Agri-Food Canada
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: N/A
Max Values: N/A
Mean Values: N/A
Standard Deviation Values: N/A
Object ID Field: OBJECTID
Fields:
-
OBJECTID
(
type: esriFieldTypeOID, alias: OBJECTID
)
-
Shape
(
type: esriFieldTypeGeometry, alias: Shape
)
-
Name
(
type: esriFieldTypeString, alias: Name, length: 200
)
-
MinPS
(
type: esriFieldTypeDouble, alias: MinPS
)
-
MaxPS
(
type: esriFieldTypeDouble, alias: MaxPS
)
-
LowPS
(
type: esriFieldTypeDouble, alias: LowPS
)
-
HighPS
(
type: esriFieldTypeDouble, alias: HighPS
)
-
Category
(
type: esriFieldTypeInteger, alias: Category
, Coded Values:
[0: Unknown]
, [1: Primary]
, [2: Overview]
, ...6 more...
)
-
Tag
(
type: esriFieldTypeString, alias: Tag, length: 100
)
-
GroupName
(
type: esriFieldTypeString, alias: GroupName, length: 100
)
-
ProductName
(
type: esriFieldTypeString, alias: ProductName, length: 100
)
-
CenterX
(
type: esriFieldTypeDouble, alias: CenterX
)
-
CenterY
(
type: esriFieldTypeDouble, alias: CenterY
)
-
ZOrder
(
type: esriFieldTypeInteger, alias: ZOrder
)
-
Shape_Length
(
type: esriFieldTypeDouble, alias: Shape_Length
)
-
Shape_Area
(
type: esriFieldTypeDouble, alias: Shape_Area
)
-
dateEnd
(
type: esriFieldTypeDate, alias: dateEnd, length: 8
)
-
tType
(
type: esriFieldTypeString, alias: tType, length: 30
)
Default Mosaic Method: ByAttribute
Allowed Mosaic Methods: ByAttribute,None,LockRaster
SortField: dateEnd
SortValue: 3000
Mosaic Operator: First
Default Compression Quality: 75
Default Resampling Method: Bilinear
Max Record Count: 1000
Max Image Height: 4100
Max Image Width: 15000
Max Download Image Count: 20
Max Mosaic Image Count: 1
Allow Raster Function: true
Allow Copy: true
Allow Analysis: true
Allow Compute TiePoints: false
Supports Statistics: true
Supports Advanced Queries: true
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
Statistics
Key Properties
Legend
Raster Function Infos
Supported Operations:
Export Image
Query
Identify
Measure
Compute Histograms
Compute Statistics Histograms
Get Samples
Compute Class Statistics
Query Boundary
Compute Pixel Location
Compute Angles
Validate
Project