View In:
ArcGIS JavaScript
ArcGIS Online Map Viewer
ArcGIS Earth
Service Description: orto/orto05686santarosadeosos
Name: orto/orto05686santarosadeosos
Description:
Single Fused Map Cache: false
Extent:
XMin: 4726567.70658
YMin: 2290962.0299
XMax: 4729488.30658
YMax: 2294899.6299
Spatial Reference: 9377
(9377)
LatestVCSWkid(0)
Initial Extent:
XMin: 4726567.70658
YMin: 2290962.0299
XMax: 4729488.30658
YMax: 2294899.6299
Spatial Reference: 9377
(9377)
LatestVCSWkid(0)
Full Extent:
XMin: 4726567.70658
YMin: 2290962.0299
XMax: 4729488.30658
YMax: 2294899.6299
Spatial Reference: 9377
(9377)
LatestVCSWkid(0)
Pixel Size X: 0.09999999999998724
Pixel Size Y: 0.10000000000000236
Band Count: 4
Pixel Type: U8
RasterFunction Infos: {"rasterFunctionInfos": [
{
"name": "None",
"description": "Make a Raster or Raster Dataset into a Function Raster Dataset.",
"help": ""
},
{
"name": "Colormap",
"description": "Es un tipo de renderizador de datos ráster, que transforma los valores de píxel para visualizar los datos ráster como una escala de grises o como una imagen de color (RGB) con base en los colores específicos en un archivo de mapa de color o en una rampa de color. Los mapas de color se pueden utilizar para representar los datos analizados, como una imagen clasificada. ",
"help": ""
},
{
"name": "Grayscale",
"description": "Convierte una imagen multibanda en una imagen de escala de grises de banda única. Las bandas de entrada se pueden tratar aplicando a cada una de ellas unos pesos o bien normalizándolas. ",
"help": ""
},
{
"name": "NDVI",
"description": "El Índice de Vegetación de Diferencia Normalizada es un indicador simple de biomasa fotosintéticamente activa o, en términos simples, un cálculo de la salud de la vegetación. ",
"help": ""
}
]}
Mensuration Capabilities: None
Inspection Capabilities:
Has Histograms: true
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text:
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: 0, 0, 0, 0
Max Values: 255, 255, 255, 255
Mean Values: 88.32099765687957, 98.09462411241934, 82.7933906527986, 179.19572178128305
Standard Deviation Values: 44.22929859035649, 32.86931424903568, 39.289005255140445, 26.612937522576434
Object ID Field: objectid
Fields:
-
objectid
(
type: esriFieldTypeOID, alias: OBJECTID
)
-
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
(
type: esriFieldTypeGeometry, alias: Shape
)
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: 39376
Max Image Width: 29206
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: 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
Get Image Url
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