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ArcGIS Earth
Service Description: This is a collection of Canopy Height rasters covering selected U.S. Forest Service and adjoining lands in the Pacific Southwest Region, encompassing California. The data are presented in a time-enabled format, allowing the end-user to view available data year-by-year, or all available years at once, within a GIS system. The data encompass varying years, varying resolutions, and varying geographic extents, dependent upon available data as provided by the region. The data represents the height of vegetation above ground, measured in meters.The data contains an attribute table. Notable attributes that may be of interest to an end-user are:lowps: the pixel size of the source raster, given in meters.highps: the pixel size of the top-most pyramid for the raster, given in meters.beginyear: the first year of data acquisition for an individual dataset.endyear: the final year of data acquisition for an individual dataset.dataset_name: the name of the individual dataset within the collection.metadata: A URL link to a file on IIPP's Portal containing metadata pertaining to an individual dataset within the image service.resolution: The pixel size of the source raster, given in meters.Canopy Height data are primarily derived from Lidar datasets. Consequently, these derivatives inherit the limitations and uncertainties of the parent sensor and platform and the processing techniques used to produce the imagery. The images are orthographic; they have been georeferenced and displacement due to sensor orientation and topography have been removed, producing data that combines the characteristics of an image with the geometric qualities of a map. The orthographic images show ground features in their proper positions, without the distortion characteristic of unrectified aerial or satellite imagery. Digital orthoimages produced and used within the Forest Service are developed from imagery acquired through various national and regional image acquisition programs. The resulting orthoimages can be directly applied in remote sensing, GIS and mapping applications. They serve a variety of purposes, from interim maps to references for Earth science investigations and analysis. Because of the orthographic property, an orthoimage can be used like a map for measurement of distances, angles, and areas with scale being constant everywhere. Also, they can be used as map layers in GIS or other computer-based manipulation, overlaying, and analysis. An orthoimage differs from a map in a manner of depiction of detail; on a map only selected detail is shown by conventional symbols whereas on an orthoimage all details appear just as in original aerial or satellite imagery.
Name: Vegetation_Structure/CanopyHeight_multiYear_USFS_R5_PacificSW_multiRes_Public
Description: This is a collection of Canopy Height rasters covering selected U.S. Forest Service and adjoining lands in the Pacific Southwest Region, encompassing California. The data are presented in a time-enabled format, allowing the end-user to view available data year-by-year, or all available years at once, within a GIS system. The data encompass varying years, varying resolutions, and varying geographic extents, dependent upon available data as provided by the region. The data represents the height of vegetation above ground, measured in meters.The data contains an attribute table. Notable attributes that may be of interest to an end-user are:lowps: the pixel size of the source raster, given in meters.highps: the pixel size of the top-most pyramid for the raster, given in meters.beginyear: the first year of data acquisition for an individual dataset.endyear: the final year of data acquisition for an individual dataset.dataset_name: the name of the individual dataset within the collection.metadata: A URL link to a file on IIPP's Portal containing metadata pertaining to an individual dataset within the image service.resolution: The pixel size of the source raster, given in meters.Canopy Height data are primarily derived from Lidar datasets. Consequently, these derivatives inherit the limitations and uncertainties of the parent sensor and platform and the processing techniques used to produce the imagery. The images are orthographic; they have been georeferenced and displacement due to sensor orientation and topography have been removed, producing data that combines the characteristics of an image with the geometric qualities of a map. The orthographic images show ground features in their proper positions, without the distortion characteristic of unrectified aerial or satellite imagery. Digital orthoimages produced and used within the Forest Service are developed from imagery acquired through various national and regional image acquisition programs. The resulting orthoimages can be directly applied in remote sensing, GIS and mapping applications. They serve a variety of purposes, from interim maps to references for Earth science investigations and analysis. Because of the orthographic property, an orthoimage can be used like a map for measurement of distances, angles, and areas with scale being constant everywhere. Also, they can be used as map layers in GIS or other computer-based manipulation, overlaying, and analysis. An orthoimage differs from a map in a manner of depiction of detail; on a map only selected detail is shown by conventional symbols whereas on an orthoimage all details appear just as in original aerial or satellite imagery.
Single Fused Map Cache: false
Extent:
XMin: -1.3524951210237999E7
YMin: 4638669.176434
XMax: -1.3339006099459518E7
YMax: 4716407.38660576
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Initial Extent:
XMin: -1.3524951210237999E7
YMin: 4638669.176434
XMax: -1.3339006099459518E7
YMax: 4716407.38660576
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Full Extent:
XMin: -1.3524951210237999E7
YMin: 4638669.176434
XMax: -1.3339006099459518E7
YMax: 4716407.38660576
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Time Info:
Start Time Field: beginyear
End Time Field: endyear
Time Extent:
[2019/01/01 00:00:00 UTC, 2019/01/01 00:00:00 UTC]
Time Reference:
N/A
Pixel Size X: 0.9999898400000041
Pixel Size Y: 0.9999898400000008
Band Count: 1
Pixel Type: F32
RasterFunction Infos: {"rasterFunctionInfos": [{
"help": "",
"name": "None",
"description": ""
}]}
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: These datasets were provided by the U.S. Forest Service Pacific Southwest Region (R5) and are served by the U.S. Forest Service Geospatial Technology & Applications Center (GTAC), in cooperation with the U.S. Department of the Interior's Geospatial Platform (GeoPlatform), as part of the Interdepartmental Imagery Publication Platform (IIPP).
Service Data Type: esriImageServiceDataTypeElevation
Min Values: 0
Max Values: 45.639999389648438
Mean Values: 14.326328969948094
Standard Deviation Values: 16.165138794725078
Object ID Field: objectid
Fields:
-
objectid
(
alias: objectid
, type: esriFieldTypeOID
, htmlEncoded: true
)
-
name
(
length: 200
, alias: name
, type: esriFieldTypeString
, htmlEncoded: true
)
-
minps
(
alias: minps
, type: esriFieldTypeDouble
, htmlEncoded: true
)
-
maxps
(
alias: maxps
, type: esriFieldTypeDouble
, htmlEncoded: true
)
-
lowps
(
alias: lowps
, type: esriFieldTypeDouble
, htmlEncoded: true
)
-
highps
(
alias: highps
, type: esriFieldTypeDouble
, htmlEncoded: true
)
-
category
(
alias: category
, type: esriFieldTypeInteger
, htmlEncoded: true
, Coded Values:
[0: Unknown]
, [1: Primary]
, [2: Overview]
, ...6 more...
)
-
tag
(
length: 100
, alias: tag
, type: esriFieldTypeString
, htmlEncoded: true
)
-
groupname
(
length: 100
, alias: groupname
, type: esriFieldTypeString
, htmlEncoded: true
)
-
productname
(
length: 100
, alias: productname
, type: esriFieldTypeString
, htmlEncoded: true
)
-
centerx
(
alias: centerx
, type: esriFieldTypeDouble
, htmlEncoded: true
)
-
centery
(
alias: centery
, type: esriFieldTypeDouble
, htmlEncoded: true
)
-
zorder
(
alias: zorder
, type: esriFieldTypeInteger
, htmlEncoded: true
)
-
shape
(
alias: shape
, type: esriFieldTypeGeometry
, htmlEncoded: true
)
-
beginyear
(
alias: beginyear
, type: esriFieldTypeSmallInteger
, htmlEncoded: true
)
-
endyear
(
alias: endyear
, type: esriFieldTypeSmallInteger
, htmlEncoded: true
)
-
dataset_name
(
length: 100
, alias: dataset_name
, type: esriFieldTypeString
, htmlEncoded: true
)
-
public
(
length: 3
, alias: public
, type: esriFieldTypeString
, htmlEncoded: true
)
-
metadata
(
length: 255
, alias: metadata
, type: esriFieldTypeString
, htmlEncoded: true
)
-
resolution
(
alias: resolution
, type: esriFieldTypeDouble
, htmlEncoded: true
)
-
st_area(shape)
(
alias: st_area(shape)
, type: esriFieldTypeDouble
, htmlEncoded: true
)
-
st_perimeter(shape)
(
alias: st_perimeter(shape)
, type: esriFieldTypeDouble
, htmlEncoded: true
)
Default Mosaic Method: ByAttribute
Allowed Mosaic Methods: ByAttribute,NorthWest,Center,LockRaster,Nadir,Viewpoint,Seamline,None
SortField: zorder
SortValue:
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: 100
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
Calculate Volume