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Service Description: The Predictive Ecosite Map of Saskatchewan is based on the classifications of McLaughlan et al. (2010). This version (v01) is an interim proof-of-concept product and is not considered highly accurate or finalized. Ecosite prediction accuracy is anticipated to between 40% and 65%, depending on geographic location.
For the boreal plain ecozone, ecosites were derived using a random forest imputation with the yaImpute package in R and mapped by L. Gelhorn (2014-07-24). Pixel values presented here are prefixed with a 2. Non-forest / non-water pixels are often assigned a BP28 ecosite code (228).
For the boreal shield and taiga shield ecozones, ecosites were derived using a random forest imputation with the yaImpute package in R and mapped by S. Oldford (2019-11-20). Pixel values presented here are prefixed with a 3 and a 4, respectively. In the case of the taiga shield ecozone, there were limited sample plot data. To increase the sample size for modelling, the majority of taiga shield ecosites data are combined and modeled with boreal sheild ecosites using the ecozonal synonyms of McLaughlan et al. (2010). Ecosites TS01 (401), TS04 (404) and TS17 (417) were modeled as such because no ecozonal synonyms exist.
This map is clipped to the Saskatchewan provincial forest and adjacent park boundaries. Water bodies are masked according to the 2015 Landcover Map of Canada of White et al. (2017) and have a pixel value of zero (0).
References:
McLaughlan, M.S., Wright, R.A. and Jiricka, R.D. (2010). Field guide to the ecosites of Saskatchewan’s provincial forests. Saskatchewan Ministry of Environment, Forest Service. Prince Albert, Saskatchewan. 343 pp.
White, J.C., Wulder, M.A., Hermosilla, T., Coops, N.C. and Hobart, G.W. (2017). A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series. Remote Sensing of Environment. 192: 303-321.
Name: predictive_ecosite_map/Predictive_Ecosite_Map_of_Saskatchewan_v01
Description:
Single Fused Map Cache: false
Extent:
XMin: 175260.8602
YMin: 5715599.0627
XMax: 737790.8602
YMax: 6661949.0627
Spatial Reference: 2151
(2957)
LatestVCSWkid(0)
Initial Extent:
XMin: 175260.8602
YMin: 5715599.0627
XMax: 737790.8602
YMax: 6661949.0627
Spatial Reference: 2151
(2957)
LatestVCSWkid(0)
Full Extent:
XMin: 175260.8602
YMin: 5715599.0627
XMax: 737790.8602
YMax: 6661949.0627
Spatial Reference: 2151
(2957)
LatestVCSWkid(0)
Pixel Size X: 30.0
Pixel Size Y: 30.0
Band Count: 1
Pixel Type: U16
RasterFunction Infos: {"rasterFunctionInfos": [
{
"name": "Raster Function Template 2",
"description": "ecosite",
"help": ""
},
{
"name": "None",
"description": "Make a Raster or Raster Dataset into a Function Raster Dataset.",
"help": ""
}
]}
Mensuration Capabilities: Basic
Inspection Capabilities:
Has Histograms: true
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text: Saskatchewan Ministry of Environment, Forest Service Branch.
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: 0
Max Values: 417
Mean Values: 228.00657280207662
Standard Deviation Values: 110.85195253128144
Object ID Field: OBJECTID
Fields:
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type: esriFieldTypeOID, alias: OBJECTID
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Default Mosaic Method: Northwest
Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
SortField:
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Mosaic Operator: First
Default Compression Quality: 75
Default Resampling Method: Nearest
Max Record Count: 1000
Max Image Height: 4100
Max Image Width: 15000
Max Download Image Count: 0
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
Histograms
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