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Service Description: Multispectral Landsat image service covering the landmass of the World. This service includes scenes from Landsat 8 and Global Land Survey (GLS) data from epochs 1990, 2000, 2005 and 2010 at 30 meter resolution as well as GLS 1975 at 60 meter resolution. GLS datasets are created by the United States Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) using Landsat images. This service can be used for mapping and change detection of urban growth, change of natural resources and comparing Landsat 8 imagery with GLS data. Using on-the-fly processing, the raw DN values are transformed to scaled (0 - 10000) apparent reflectance values and then different service based renderings for band combinations and indices are applied. The band names are in line with Landsat 8 bands; GLS data band names are mapped along the same lines.
Name: Landsat/MS
Description: Multispectral Landsat image service covering the landmass of the World. This service includes scenes from Landsat 8 and Global Land Survey (GLS) data from epochs 1990, 2000, 2005 and 2010 at 30 meter resolution as well as GLS 1975 at 60 meter resolution. GLS datasets are created by the United States Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) using Landsat images. This service can be used for mapping and change detection of urban growth, change of natural resources and comparing Landsat 8 imagery with GLS data. Using on-the-fly processing, the raw DN values are transformed to scaled (0 - 10000) apparent reflectance values and then different service based renderings for band combinations and indices are applied. The band names are in line with Landsat 8 bands; GLS data band names are mapped along the same lines.
Single Fused Map Cache: false
Extent:
XMin: -2.00375070672E7
YMin: -9694091.070299998
XMax: 2.0037507842788246E7
YMax: 9691188.929700002
Spatial Reference: 102100
(3857)
Initial Extent:
XMin: -2.00375070672E7
YMin: -9694091.070299998
XMax: 2.0037507842788246E7
YMax: 9691188.929700002
Spatial Reference: 102100
(3857)
Full Extent:
XMin: -2.00375070672E7
YMin: -9694091.070299998
XMax: 2.0037507842788246E7
YMax: 9691188.929700002
Spatial Reference: 102100
(3857)
Time Info:
Start Time Field: AcquisitionDate
End Time Field: AcquisitionDate
Time Extent:
[1972/07/25 00:00:00 UTC, 2024/08/07 21:11:20 UTC]
Time Reference:
N/A
Pixel Size X: 29.99999618963752
Pixel Size Y: 30.0
Band Count: 11
Pixel Type: S16
RasterFunction Infos: {"rasterFunctionInfos": [
{
"name": "Agriculture with DRA",
"description": "Bands shortwave IR-1, near-IR, blue (6, 5, 2) with dynamic range adjustment applied on apparent reflectance. Vigorous veg. is bright green, stressed veg. dull green and bare areas as brown.",
"help": ""
},
{
"name": "Bathymetric with DRA",
"description": "Bands red, green, coastal/aerosol (4, 3, 1) with dynamic range adjustment applied on apparent reflectance. Useful in bathymetric mapping applications.",
"help": ""
},
{
"name": "Color Infrared with DRA",
"description": "Bands near-IR, red, green (5, 4, 3) with dynamic range adjustment applied on apparent reflectance. Healthy vegetation is bright red while stressed vegetation is dull red.",
"help": ""
},
{
"name": "Geology with DRA",
"description": "The band combination (7,6,2) enables easier visualization and extraction of delineation of major structural features like thrust faults and folds, textural characteristics of igneous and sedimentary rocks, and for lithological and geological mapping like recognizing hydrothermal altered rocks, etc. Additionally, various band combinations like 4,3,2 ; 7,6,5; 7,5,2; 7,4,2 etc. can also be used to determine specific geological features.",
"help": ""
},
{
"name": "Natural Color with DRA",
"description": "Natural Color bands red, green, blue (4, 3, 2) displayed with dynamic range adjustment applied on apparent reflectance.",
"help": ""
},
{
"name": "Short-wave Infrared with DRA",
"description": "Bands shortwave IR-2, shortwave IR-1, red (7, 6, 4) with dynamic range adjustment applied on apparent reflectance.",
"help": ""
},
{
"name": "Agriculture",
"description": "Bands shortwave IR-1, near-IR, blue (6, 5, 2) with fixed stretch applied on apparent reflectance. Vigorous vegetation is bright green, stressed vegetation dull green and bare areas as brown.",
"help": ""
},
{
"name": "Bathymetric",
"description": "Bands red, green, coastal/aerosol (4, 3, 1) with fixed stretch applied on apparent reflectance. Useful in bathymetric mapping applications.",
"help": ""
},
{
"name": "Color Infrared",
"description": "Bands near-IR, red, green (5, 4, 3) with fixed stretch applied on apparent reflectance. Healthy vegetation is bright red while stressed vegetation is dull red.",
"help": ""
},
{
"name": "Geology",
"description": "The band combination (7,6,2) enables easier visualization and extraction of delineation of major structural features like thrust faults and folds, textural characteristics of igneous and sedimentary rocks, and for lithological and geological mapping like recognizing hydrothermal altered rocks, etc. Additionally, various band combinations like 4,3,2 ; 7,6,5; 7,5,2; 7,4,2 etc. can also be used to determine specific geological features.",
"help": ""
},
{
"name": "Natural Color",
"description": "Natural Color bands red, green, blue(4, 3, 2) displayed with fixed stretch applied on apparent reflectance.",
"help": ""
},
{
"name": "Short-wave Infrared",
"description": "Bands shortwave infrared2, shortwave infrared1, red (7, 6, 4) with fixed stretched applied on apparent reflectance.",
"help": ""
},
{
"name": "NDVI Colorized",
"description": "Normalized difference vegetation index (NDVI) with color map. Dark green is thick vigorous vegetation and brown represents sparse vegetation.",
"help": ""
},
{
"name": "Normalized Difference Moisture Index Colorized",
"description": "Normalized Difference Moisture Index with color map computed as (b5 - b6) / (b5 + b6). Wetlands and moist areas are blues, and dry areas in deep yellow and brown.",
"help": ""
},
{
"name": "NDVI Raw",
"description": "Normalized difference vegetation index (NDVI) computed as (b5 - b4) / (b5 + b4) on apparent reflectance.",
"help": ""
},
{
"name": "NBR Raw",
"description": "Normalized Burn Ratio (NBR) computed as (b5 - b7) / (b5 + b7) on apparent reflectance.",
"help": ""
},
{
"name": "Band 10 Surface Temperature in Celsius",
"description": "Land surface temperature estimation (°C) dynamically derived from TIRS1.",
"help": ""
},
{
"name": "Band 10 Surface Temperature in Fahrenheit",
"description": " Land surface temperature estimation (°F) dynamically derived from TIRS1.",
"help": ""
},
{
"name": "Band 11 Surface Temperature in Celsius",
"description": "Land surface temperature estimation (°C) dynamically derived from TIRS2.",
"help": ""
},
{
"name": "Band 11 Surface Temperature in Fahrenheit",
"description": " Land surface temperature estimation (°F) dynamically derived from TIRS2.",
"help": ""
},
{
"name": "None",
"description": "",
"help": ""
}
]}
Mensuration Capabilities:
Has Histograms: false
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, 0, 0, 0, 0, 0, 0, 0
Max Values: 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000, 10000
Mean Values: 3500, 3500, 3500, 3500, 3500, 3500, 3500, 3500, 3500, 3500, 3500
Standard Deviation Values: 1250, 1250, 1250, 1250, 1250, 1250, 1250, 1250, 1250, 1250, 1250
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...
)
-
GroupName
(
type: esriFieldTypeString, alias: GroupName, length: 100
)
-
ProductName
(
type: esriFieldTypeString, alias: ProductName, length: 100
)
-
CenterX
(
type: esriFieldTypeDouble, alias: CenterX
)
-
CenterY
(
type: esriFieldTypeDouble, alias: CenterY
)
-
Shape
(
type: esriFieldTypeGeometry, alias: Shape
)
-
SensorName
(
type: esriFieldTypeString, alias: Sensor Name, length: 20
)
-
AcquisitionDate
(
type: esriFieldTypeDate, alias: Acquisition Date, length: 8
)
-
SunAzimuth
(
type: esriFieldTypeDouble, alias: Sun Azimuth
)
-
SunElevation
(
type: esriFieldTypeDouble, alias: Sun Elevation
)
-
CloudCover
(
type: esriFieldTypeDouble, alias: Cloud Cover
)
-
Best
(
type: esriFieldTypeInteger, alias: Best
)
-
DateUpdated
(
type: esriFieldTypeDate, alias: DateUpdated, length: 8
)
-
PR
(
type: esriFieldTypeInteger, alias: PR
)
-
Latest
(
type: esriFieldTypeInteger, alias: Latest
)
-
DayOfYear
(
type: esriFieldTypeInteger, alias: DayOfYear
)
-
Month
(
type: esriFieldTypeSmallInteger, alias: Month
)
-
LANDSAT_SCENE_ID
(
type: esriFieldTypeString, alias: LANDSAT_SCENE_ID, length: 30
)
-
LANDSAT_PRODUCT_ID
(
type: esriFieldTypeString, alias: LANDSAT_PRODUCT_ID, length: 50
)
-
dataset_id
(
type: esriFieldTypeString, alias: dataset_id, length: 50
)
Default Mosaic Method: ByAttribute
Allowed Mosaic Methods: ByAttribute,NorthWest,Center,LockRaster,Nadir,None
SortField: Best
SortValue: 0
Mosaic Operator: First
Default Compression Quality: 85
Default Resampling Method: Bilinear
Max Record Count: 1000
Max Image Height: 4000
Max Image Width: 4000
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
Statistics
Key Properties
Legend
Raster Function Infos
Supported Operations:
Export Image
Query
Identify
Compute Histograms
Compute Statistics Histograms
Get Samples
Compute Class Statistics
Query Boundary
Compute Pixel Location
Validate
Project