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ArcGIS Earth
Service Description: This image service was developed using data from over 213,000 national forest inventory plots measured during the period 2014-2018 from the USFS Forest Inventory and Analysis (FIA) program, in conjunction with other auxiliary information. Roughly 4,900 Landsat 8 OLI scenes, collected during the same time period, were processed to extract information about vegetation phenology. This information, along with climatic and topographic raster data, were used in an ecological ordination model of tree species. The model produced a feature space of ecological gradients that was then used to impute FIA plots to pixels. The plots imputed to each pixel were then used to assign values (tons per pixel) for each of the forest carbon pools that FIA tracks: live tree (aboveground), live tree (belowground), down dead, litter, soil organic, standing dead, understory (aboveground), and understory (belowground). The sum of these pools is total forest carbon.
NOTE - This layer will display total forest carbon upon opening. Please use "Display Image" in the layer menu to change the raster function template in order to display other carbon pools.
For more information about the methods used to produce this dataset please see the following references:
Wilson, Barry T.; Knight, Joseph F.; McRoberts, Ronald E. 2018. Harmonic regression of Landsat time series for modeling attributes from national forest inventory data. ISPRS Journal of Photogrammetry and Remote Sensing. 137: 29-46.
Wilson, Barry Tyler; Woodall, Christopher W.; Griffith, Douglas M. 2013. Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage. Carbon Balance and Management. 8:1. doi:10.1186/1750-0680-8-1
Wilson, B. Tyler; Lister, Andrew J.; Riemann, Rachel I. 2012. A nearest-neighbor imputation approach to mapping tree species over large areas using forest inventory plots and moderate resolution raster data. Forest Ecology and Management. 271: 182-198.
Ohmann, Janet L.; Gregory, Matthew J. 2002. Predictive mapping of forest composition and structure with direct gradient analysis and nearest neighbor imputation in coastal Oregon, U.S.A. Canadian Journal of Forest Research. 32: 725-741
Vegetation/USFS_FIA_BIGMAP_ForestCarbonPools_2018
Description:
Single Fused Map Cache: false
Extent:
XMin: -1.3890063206799999E7
YMin: 2815900.166699998
XMax: -7458003.206799999
YMax: 6342250.166699998
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Initial Extent:
XMin: -1.3890063206799999E7
YMin: 2815900.166699998
XMax: -7458003.206799999
YMax: 6342250.166699998
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Full Extent:
XMin: -1.3890063206799999E7
YMin: 2815900.166699998
XMax: -7458003.206799999
YMax: 6342250.166699998
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Pixel Size X: 30.0
Pixel Size Y: 30.0
Band Count: 1
Pixel Type: F32
RasterFunction Infos: {"rasterFunctionInfos": [
{
"help": "",
"name": "Live Tree (Above Ground)",
"description": "Live Tree Above Ground Carbon - Tons per pixel"
},
{
"help": "",
"name": "None",
"description": "Make a Raster or Raster Dataset into a Function Raster Dataset."
},
{
"help": "",
"name": "Down Dead",
"description": "Down Dead Carbon - Tons per pixel"
},
{
"help": "",
"name": "Litter",
"description": "Litter Carbon - Tons per pixel"
},
{
"help": "",
"name": "Live Tree (Below Ground)",
"description": "Live Tree Below Ground Carbon - Tons per pixel"
},
{
"help": "",
"name": "Soil Organic",
"description": "Organic Soil Carbon - Tons per pixel"
},
{
"help": "",
"name": "Standing Dead",
"description": "Standing Dead Carbon - Tons per pixel"
},
{
"help": "",
"name": "Understory (Above Ground)",
"description": "Understory (Above Ground) Carbon - Tons per pixel"
},
{
"help": "",
"name": "Understory (Below Ground)",
"description": "Understory (Below Ground) Carbon - Tons per pixel"
}
]}
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: USDA Forest Service Forest Inventory & Analysis Program.
Science by Barry T. Wilson (USFS)
Cartography by Emily Meriam (ESRI)
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: 0
Max Values: 27.817392349243164
Mean Values: 0.92284547447133825
Standard Deviation Values: 1.694013192852589
Object ID Field: objectid
Fields:
-
objectid
(
alias: objectid
, type: esriFieldTypeOID
)
-
name
(
length: 200
, alias: name
, type: esriFieldTypeString
)
-
minps
(
alias: minps
, type: esriFieldTypeDouble
)
-
maxps
(
alias: maxps
, type: esriFieldTypeDouble
)
-
lowps
(
alias: lowps
, type: esriFieldTypeDouble
)
-
highps
(
alias: highps
, type: esriFieldTypeDouble
)
-
category
(
alias: category
, type: esriFieldTypeInteger
, Coded Values:
[0: Unknown]
, [1: Primary]
, [2: Overview]
, ...6 more...
)
-
productname
(
length: 100
, alias: productname
, type: esriFieldTypeString
)
-
shape
(
alias: shape
, type: esriFieldTypeGeometry
)
Default Mosaic Method: Northwest
Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
SortField:
SortValue: N/A
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:
Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:
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
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