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Service Description: This metadata record describes the Digital Elevation Models (DEM's) for the 2017 San Mateo LiDAR project covering approximately 578 square miles in San Mateo County, CA. This dataset meets QL2 accuracy and with 4 points per meter pulse density
Name: SanMateoCounty_ShadedRelief2017
Description: This metadata record describes the Digital Elevation Models (DEM's) for the 2017 San Mateo LiDAR project covering approximately 578 square miles in San Mateo County, CA. This dataset meets QL2 accuracy and with 4 points per meter pulse density
Single Fused Map Cache: false
Extent:
XMin: 5971361.359999995
YMin: 1864411.0400000094
XMax: 6103364.959999983
YMax: 2088412.07999999
Spatial Reference: 102643
(2227)
Initial Extent:
XMin: 5971361.359999995
YMin: 1864411.0400000094
XMax: 6103364.959999983
YMax: 2088412.07999999
Spatial Reference: 102643
(2227)
Full Extent:
XMin: 5971361.359999995
YMin: 1864411.0400000094
XMax: 6103364.959999983
YMax: 2088412.07999999
Spatial Reference: 102643
(2227)
Pixel Size X: 3.279999999999713
Pixel Size Y: 3.2799999999997174
Band Count: 3
Pixel Type: U8
RasterFunction Infos: {"rasterFunctionInfos": [
{
"name": "Shaded_Relief_Function",
"description": "Raster function to display DEM as Shaded Relief",
"help": ""
},
{
"name": "ShadedRelief_All_Gray",
"description": "A raster function template.",
"help": ""
},
{
"name": "None",
"description": "A No-Op Function.",
"help": ""
}
]}
Mensuration Capabilities: None
Has Histograms: true
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text:
Service Data Type: esriImageServiceDataTypeProcessed
Min Values: 0, 0, 0
Max Values: 255, 255, 254
Mean Values: 130.11803369249418, 157.59023684924605, 102.9353967861216
Standard Deviation Values: 50.212222859486744, 52.4872801031068, 61.70497360071471
Object ID Field: OBJECTID
Fields:
-
OBJECTID
(
type: esriFieldTypeOID, alias: OBJECTID
)
-
Shape
(
type: esriFieldTypeGeometry, alias: Shape
)
-
Name
(
type: esriFieldTypeString, alias: Name, length: 200
)
-
MinPS
(
type: esriFieldTypeDouble, alias: MinPS
)
-
MaxPS
(
type: esriFieldTypeDouble, alias: MaxPS
)
-
LowPS
(
type: esriFieldTypeDouble, alias: LowPS
)
-
HighPS
(
type: esriFieldTypeDouble, alias: HighPS
)
-
Category
(
type: esriFieldTypeInteger, alias: Category
, Coded Values:
[0: Unknown]
, [1: Primary]
, [2: Overview]
, ...6 more...
)
-
Tag
(
type: esriFieldTypeString, alias: Tag, length: 100
)
-
GroupName
(
type: esriFieldTypeString, alias: GroupName, length: 100
)
-
ProductName
(
type: esriFieldTypeString, alias: ProductName, length: 100
)
-
CenterX
(
type: esriFieldTypeDouble, alias: CenterX
)
-
CenterY
(
type: esriFieldTypeDouble, alias: CenterY
)
-
ZOrder
(
type: esriFieldTypeInteger, alias: ZOrder
)
-
Shape_Length
(
type: esriFieldTypeDouble, alias: Shape_Length
)
-
Shape_Area
(
type: esriFieldTypeDouble, alias: Shape_Area
)
Default Mosaic Method: Northwest
Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
SortField:
SortValue: null
Mosaic Operator: First
Default Compression Quality: 75
Default Resampling Method: Bilinear
Max Record Count: 1000
Max Image Height: 4100
Max Image Width: 15000
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: Image Service
Description: Supports ArcGIS image service
Help:
Name: Map Service
Description: Supports ArcGIS map service
Help:
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
Download Rasters
Compute Histograms
Compute Statistics Histograms
Get Samples
Compute Class Statistics
Query Boundary
Compute Pixel Location
Compute Angles
Validate
Project