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Service Description: The Moisture Deficit and Surplus map uses moisture difference z-score (MDZ) datasets developed by scientists Frank Koch, John Coulston, and William Smith of the Forest Service Southern Research Station to represent drought and moisture surplus across the contiguous United States. A z-score is a statistical method for assessing how different a value is from the mean. Mean moisture values over 5-year windows were derived from monthly historical precipitation and temperature data from PRISM, between 1900 and 2022, and compared against a 1900-2017 baseline. The greater the z-value, the larger the departure from average conditions, indicating larger moisture deficits (droughts) or surpluses. Thus, the dark orange areas on the map indicate a 5-year window with extreme drought, relative to the average conditions over the past century. For further reading on the methodology used to build these maps, see the publication here: https://www.fs.usda.gov/treesearch/pubs/43361
Name: RDW_Climate/Moisture_Difference_ZScore_5yr
Description: The Moisture Deficit and Surplus map uses moisture difference z-score (MDZ) datasets developed by scientists Frank Koch, John Coulston, and William Smith of the Forest Service Southern Research Station to represent drought and moisture surplus across the contiguous United States. A z-score is a statistical method for assessing how different a value is from the mean. Mean moisture values over 5-year windows were derived from monthly historical precipitation and temperature data from PRISM, between 1900 and 2022, and compared against a 1900-2017 baseline. The greater the z-value, the larger the departure from average conditions, indicating larger moisture deficits (droughts) or surpluses. Thus, the dark orange areas on the map indicate a 5-year window with extreme drought, relative to the average conditions over the past century. For further reading on the methodology used to build these maps, see the publication here: https://www.fs.usda.gov/treesearch/pubs/43361
Single Fused Map Cache: false
Extent:
XMin: -1.39172572777E7
YMin: 2761917.5216925843
XMax: -7400428.754124975
YMax: 6435460.7179000005
Spatial Reference: 102100
(3857)
Initial Extent:
XMin: -1.39172572777E7
YMin: 2761917.5216925843
XMax: -7400428.754124975
YMax: 6435460.7179000005
Spatial Reference: 102100
(3857)
Full Extent:
XMin: -1.39172572777E7
YMin: 2761917.5216925843
XMax: -7400428.754124975
YMax: 6435460.7179000005
Spatial Reference: 102100
(3857)
Time Info:
Start Time Field: Year
End Time Field: Year
Time Extent:
[1900/01/01 00:00:00 UTC, 2022/01/01 00:00:00 UTC]
Time Reference:
N/A
Pixel Size X: 4638.312116423505
Pixel Size Y: 4638.312116423505
Band Count: 1
Pixel Type: S8
RasterFunction Infos: {"rasterFunctionInfos": [
{
"name": "MDZ_color_table",
"description": "A raster function template.",
"help": ""
},
{
"name": "None",
"description": "Make a Raster or Raster Dataset into a Function Raster Dataset.",
"help": ""
}
]}
Mensuration Capabilities: Basic
Inspection Capabilities:
Has Histograms: false
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Resampling: false
Copyright Text: Koch, F. H., Coulston, J. W., & Smith, W. D. (2012). Mapping drought conditions using multi-year windows. In: Potter, Kevin M.; Conkling, Barbara L., eds. 2012. Forest health monitoring: 2009 national technical report. Gen. Tech. Rep. SRS-167. Asheville, NC: US Department of Agriculture Forest Service, Southern Research Station. 163-179., 167, 163-179.
Service Data Type: esriImageServiceDataTypeThematic
Min Values: N/A
Max Values: N/A
Mean Values: N/A
Standard Deviation Values: N/A
Object ID Field: OBJECTID
Fields:
-
OBJECTID
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type: esriFieldTypeOID, alias: OBJECTID
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Shape
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type: esriFieldTypeGeometry, alias: Shape
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Name
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type: esriFieldTypeString, alias: Name, length: 200
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MinPS
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type: esriFieldTypeDouble, alias: MinPS
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MaxPS
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type: esriFieldTypeDouble, alias: MaxPS
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LowPS
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type: esriFieldTypeDouble, alias: LowPS
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HighPS
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type: esriFieldTypeDouble, alias: HighPS
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Category
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type: esriFieldTypeInteger, alias: Category
, Coded Values:
[0: Unknown]
, [1: Primary]
, [2: Overview]
, ...6 more...
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Tag
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type: esriFieldTypeString, alias: Tag, length: 100
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GroupName
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type: esriFieldTypeString, alias: GroupName, length: 100
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type: esriFieldTypeString, alias: ProductName, length: 100
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CenterX
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type: esriFieldTypeDouble, alias: CenterX
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CenterY
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type: esriFieldTypeDouble, alias: CenterY
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ZOrder
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type: esriFieldTypeInteger, alias: ZOrder
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Shape_Length
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type: esriFieldTypeDouble, alias: Shape_Length
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Shape_Area
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type: esriFieldTypeDouble, alias: Shape_Area
)
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Year
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type: esriFieldTypeSmallInteger, alias: Year
)
Default Mosaic Method: Northwest
Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
SortField:
SortValue: null
Mosaic Operator: First
Default Compression Quality: 75
Default Resampling Method: Nearest
Max Record Count: 1000
Max Image Height: 50000
Max Image Width: 50000
Max Download Image Count: 20
Max Mosaic Image Count: 20
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 GPS Info
Find Images
Image to Map
Map to Image
Measure from Image
Image to Map Multiray
Query Boundary
Compute Pixel Location
Compute Angles
Validate
Project