Service Description: GRSM_MAXENT_WETLANDS
Service ItemId: 47fc50627bab40739b74cbe5d871db28
Has Versioned Data: false
Max Record Count: 4000
Supported query Formats: JSON
Supports applyEdits with GlobalIds: False
Supports Shared Templates: False
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Description: I&M Staff in conjunction with a University of Tennessee graduate student developed maximum entropy (specifically the program MaxEnt) distribution models to predict wetland occurrence. Because MaxEnt is able to account for interactions among landscape features and climate variables, it is an ideal modeling approach for predicting the probability of finding a wetland across the park’s complex topography. Model outputs were based on 24 environmental variables (e.g., slope, microtopography, rainfall, etc.) at a 30x30 m grid cell resolution.
Copyright Text: Great Smoky Mountains National Park
Spatial Reference: 4326 (4326)
Initial Extent:
XMin: -84.1581506085315
YMin: 35.3635444966536
XMax: -82.3747445846617
YMax: 36.058347110356
Spatial Reference: 4326 (4326)
Full Extent:
XMin: -84.0047440313692
YMin: 35.42259770884
XMax: -83.0378806692322
YMax: 35.7895727832685
Spatial Reference: 4326 (4326)
Units: esriDecimalDegrees
Child Resources:
Info
Supported Operations:
Query
ConvertFormat
Get Estimates
Create Replica