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Ecosystems/USFS_EDW_TCA_VegetationDeparture (ImageServer)

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Service Description:

Direct Download (Raster Data Gateway)

Objective: Identify locations where vegetation composition and successional stage are departed from the natural range of variation.

Data: Vegetation departure within a TCA landscape ecosystem describes the degree to which the observed proportion (percent, 0-100%) of successional classes (i.e., A through E) derived from Landfire Succession Classes (SClass) dataset, is departed from the proportions one would expect based on the reference condition contained in the Landfire Biophysical Settings (BpS) dataset at each cell location. Departure is calculated as:

Departure = 100 – Similarity

where Similarity = ∑ (min(Ai,Bi)) over all classes i,…n

Departure is determined for each BPS within an LTA, and then weighted average for departure is calculated for the LTA based on the areal extent of the BPS. After being added to the assessment in 2022, the update timeline of the input source data from LANDFIRE did not align with the timing of TCA assessment in 2023, so data from 2022 was reused. The 2024 TCA Assessment used updated source data to create new vegetation departure indicator data.

Units: Percent

Format: Raster data are continuous

Resolution: 30m

Source: Landfire Succession Class and Biophysical Setting, methods from Swaty et al. 2022

Additional Resources:

Details on Method Changes and Source Data Versions

Overview of the Terrestrial Condition Assessment: TCA Hubsite or Landfire Office Hour Presentation

Explore the results of the most recent assessment: TCA Interactive Data Viewer

Learn more about the TCA KPI: Dashboard link when available



Name: Ecosystems/USFS_EDW_TCA_VegetationDeparture

Description:

Direct Download (Raster Data Gateway)

Objective: Identify locations where vegetation composition and successional stage are departed from the natural range of variation.

Data: Vegetation departure within a TCA landscape ecosystem describes the degree to which the observed proportion (percent, 0-100%) of successional classes (i.e., A through E) derived from Landfire Succession Classes (SClass) dataset, is departed from the proportions one would expect based on the reference condition contained in the Landfire Biophysical Settings (BpS) dataset at each cell location. Departure is calculated as:

Departure = 100 – Similarity

where Similarity = ∑ (min(Ai,Bi)) over all classes i,…n

Departure is determined for each BPS within an LTA, and then weighted average for departure is calculated for the LTA based on the areal extent of the BPS. After being added to the assessment in 2022, the update timeline of the input source data from LANDFIRE did not align with the timing of TCA assessment in 2023, so data from 2022 was reused. The 2024 TCA Assessment used updated source data to create new vegetation departure indicator data.

Units: Percent

Format: Raster data are continuous

Resolution: 30m

Source: Landfire Succession Class and Biophysical Setting, methods from Swaty et al. 2022

Additional Resources:

Details on Method Changes and Source Data Versions

Overview of the Terrestrial Condition Assessment: TCA Hubsite or Landfire Office Hour Presentation

Explore the results of the most recent assessment: TCA Interactive Data Viewer

Learn more about the TCA KPI: Dashboard link when available



Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Time Info: Pixel Size X: 30.0

Pixel Size Y: 30.0

Band Count: 1

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [ { "help": "", "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset." }, { "help": "", "name": "Vegetation Departure", "description": "A raster function template." } ]}

Mensuration Capabilities: Basic

Inspection Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : true

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Methods from Swaty, R.; Blankenship, K.; Hall, K.R.; Smith, J.; Dettenmaier, M.; Hagen, S. Assessing Ecosystem Condition: Use and Customization of the Vegetation Departure Metric. Land 2022, 11,28 https://www.mdpi.com/2073-445X/11/1/28; Data from http://www.landfire.gov (S-class and BPS settings, accessed Feb. 6, 2024)

Service Data Type: esriImageServiceDataTypeScientific

Min Values: 0

Max Values: 100

Mean Values: 52.13899047259936

Standard Deviation Values: 19.853363393673945

Object ID Field: objectid

Fields: Default Mosaic Method: ByAttribute

Allowed Mosaic Methods: ByAttribute,NorthWest,Center,LockRaster,Nadir,Viewpoint,Seamline,None

SortField: StdTime

SortValue: 0

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: 1000

Max Image Height: 100000

Max Image Width: 100000

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: Has Raster Attribute Table: false

Edit Fields Info: N/A

Ownership Based AccessControl For Rasters: N/A

Child Resources:   Info   Histograms   Statistics   Key Properties   Legend   Raster Function Infos   Multidimensional Info   Slices

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