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Service Description: Example of an RGB Decomposition GeoTIFF optionally available for inclusion in an RTC product package processed by ASF.
Name: ASF_SampleData/RTC_Optional_RGBdecomposition
Description: Example of an RGB Decomposition GeoTIFF optionally available for inclusion in an RTC product package processed by ASF. There is always a low-resolution false-color browse image included in the product package, but you can include this GeoTIFF if you want a full-resolution RGB Decomposition image. This image combines the co- and cross-polarized RTC values to generate a false-color image. In general, blue indicates areas with low backscatter in both co- and cross-polarizations (calm water, dry sand, frozen ground), green indicates high cross-pol values (vegetation or other volume scatterers), and red indicates areas with low cross-pol but relatively high co-pol values (urban areas). A full description of the approach used for generating this particular decomposition is available at https://github.com/ASFHyP3/hyp3-lib/blob/develop/docs/rgb_decomposition.md
Single Fused Map Cache: false
Extent:
XMin: -1.38878358465E7
YMin: 5912169.317400001
XMax: -1.34510358465E7
YMax: 6231369.317400001
Spatial Reference: 102100
(3857)
Initial Extent:
XMin: -1.38878358465E7
YMin: 5912169.317400001
XMax: -1.34510358465E7
YMax: 6231369.317400001
Spatial Reference: 102100
(3857)
Full Extent:
XMin: -1.38878358465E7
YMin: 5912169.317400001
XMax: -1.34510358465E7
YMax: 6231369.317400001
Spatial Reference: 102100
(3857)
Pixel Size X: 3.0
Pixel Size Y: 3.0
Band Count: 3
Pixel Type: U8
RasterFunction Infos: {"rasterFunctionInfos": [{
"name": "None",
"description": "Make a Raster or Raster Dataset into a Function Raster Dataset.",
"help": ""
}]}
Mensuration Capabilities: Basic
Has Histograms: true
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text: RTC products processed by ASF DAAC HyP3 2023 using GAMMA software. Contains modified Copernicus Sentinel data 2022, processed by ESA.
Service Data Type: esriImageServiceDataTypeRGB
Min Values: 1, 1, 1
Max Values: 255, 255, 255
Mean Values: 93.3771296347703, 127.11719279557613, 12.757205741332912
Standard Deviation Values: 64.75270795145373, 56.69932055852485, 28.92319681723413
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
)
-
CenterX
(
type: esriFieldTypeDouble, alias: CenterX
)
-
CenterY
(
type: esriFieldTypeDouble, alias: CenterY
)
-
ZOrder
(
type: esriFieldTypeInteger, alias: ZOrder
)
Default Mosaic Method: Center
Allowed Mosaic Methods: Center,NorthWest,Nadir,LockRaster,ByAttribute,Seamline,None
SortField:
SortValue: null
Mosaic Operator: First
Default Compression Quality: 80
Default Resampling Method: Nearest
Max Record Count: 2000
Max Image Height: 5000
Max Image Width: 5000
Max Download Image Count: 50
Max Mosaic Image Count: 50
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: null
Ownership Based AccessControl For Rasters: null
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 Boundary
Compute Pixel Location
Compute Angles
Validate
Project