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ArcGIS Earth
Service Description: HLS provides consistent surface reflectance and brightness data from Landsat OLI and Sentinel-2 MSI, enabling 30 m global land observations every 1.6 days. Algorithms harmonize OLI and MSI through atmospheric correction, cloud masking, co-registration, gridding, and bandpass adjustment. Learn More: https://doi.org/10.5067/HLS/HLSL30.002
Name: C2021957657-LPCLOUD/HLSL30_V02
Description: HLS provides consistent surface reflectance and brightness data from Landsat OLI and Sentinel-2 MSI, enabling 30 m global land observations every 1.6 days. Algorithms harmonize OLI and MSI through atmospheric correction, cloud masking, co-registration, gridding, and bandpass adjustment. Learn More: https://doi.org/10.5067/HLS/HLSL30.002
Single Fused Map Cache: false
Extent:
XMin: -2.00375070672E7
YMin: -7746222.065200001
XMax: 2.0037507842788246E7
YMax: 1.76889479348E7
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Initial Extent:
XMin: -2.00375070672E7
YMin: -7746222.065200001
XMax: 2.0037507842788246E7
YMax: 1.76889479348E7
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Full Extent:
XMin: -2.00375070672E7
YMin: -7746222.065200001
XMax: 2.0037507842788246E7
YMax: 1.76889479348E7
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Time Info:
Start Time Field: AcquisitionDate
End Time Field: AcquisitionDate
Time Extent:
[2013/04/11 00:14:45 UTC, 2026/10/25 23:34:50 UTC]
Time Reference:
N/A
Pixel Size X: 29.99999618963752
Pixel Size Y: 30.0
Band Count: 11
Pixel Type: S16
RasterFunction Infos: {"rasterFunctionInfos": [
{
"help": "",
"name": "Natural Color",
"description": "Natural Color bands red, green, blue(4, 3, 2) displayed with fixed stretch applied."
},
{
"help": "",
"name": "Bathymetric with Cloud Mask",
"description": "Bands red, green, coastal/aerosol(4, 3, 1) with fixed stretched and cloud mask applied. Useful in bathymetric mapping applications."
},
{
"help": "",
"name": "Bathymetric with DRA and Cloud Mask",
"description": "Bands red, green, coastal/aerosol(4, 3, 1) with dynamic range adjustment and cloud mask applied. Useful in bathymetric mapping applications."
},
{
"help": "",
"name": "Bathymetric with DRA",
"description": "Bands red, green, coastal/aerosol(4, 3, 1) with dynamic range adjustment applied. Useful in bathymetric mapping applicaitons."
},
{
"help": "",
"name": "Bathymetric",
"description": "Bands red, green, coastal/aerosol(4, 3, 1) with fixed stretched applied. Useful in bathymetric mapping applicaitons."
},
{
"help": "",
"name": "Color Infrared with Cloud Mask",
"description": "Bands near-infrared, red, green (5,4,3) with fixed stretch and cloud mask applied. Healthy vegetation is bright red while stressed vegetation is dull red."
},
{
"help": "",
"name": "Color Infrared with DRA and Cloud Mask",
"description": "Bands near-infrared, red, green (5,4,3) with dynamic range adjustment and cloud mask applied. Healthy vegetation is bright red while stressed vegetation is dull red."
},
{
"help": "",
"name": "Color Infrared with DRA",
"description": "Bands near-infrared, red, green (5,4,3) with dynamic range adjustment applied. Healthy vegetation is bright red while stressed vegetation is dull red."
},
{
"help": "",
"name": "Color Infrared",
"description": "Bands near-infrared, red, green (5,4,3) with fixed stretch applied. Healthy vegetation is bright red while stressed vegetation is dull red."
},
{
"help": "",
"name": "Geology with Cloud Mask",
"description": "Bands shortwave IR-2, shortwave IR-1, blue (7, 6, 2) with fixed stretched and cloud mask applied. Highlights geological features."
},
{
"help": "",
"name": "Geology with DRA and Cloud Mask",
"description": "Bands shortwave IR-2, shortwave IR-1, blue (7, 6, 2) with dynamic range adjustment and cloud mask applied. Highlights geological features."
},
{
"help": "",
"name": "Geology with DRA",
"description": "Bands shortwave IR-2, shortwave IR-1, blue (7, 6, 2) with dynamic range adjustment applied. Highlights geological features."
},
{
"help": "",
"name": "Geology",
"description": "Bands shortwave IR-2, shortwave IR-1, blue (7, 6, 2) with fixed stretched applied. Highlights geological features."
},
{
"help": "",
"name": "NDVI Colormap with Cloud Mask",
"description": "Normalized difference vegetation index (NDVI) with colormap and cloud mask. Dark green represents vigorous vegetation and brown represents sparse vegetation. It is computed as (b5 - b4) / (b5 + b4) and is suitable for vegetation, land cover and plant health monitoring."
},
{
"help": "",
"name": "NDVI Colormap",
"description": "Normalized difference vegetation index (NDVI) with colormap. Dark green represents vigorous vegetation and brown represents sparse vegetation. It is computed as (b5 - b4) / (b5 + b4) and is suitable for vegetation, land cover and plant health monitoring."
},
{
"help": "",
"name": "NDVI Raw with Cloud Mask",
"description": "Normalized difference vegetation index (NDVI) computed as (b5 - b4) / (b5 + b4) and is suitable for vegetation, land cover and plant health monitoring. Also includes a cloud mask."
},
{
"help": "",
"name": "NDVI Raw",
"description": "Normalized difference vegetation index (NDVI) computed as (b5 - b4) / (b5 + b4) and is suitable for vegetation, land cover and plant health monitoring."
},
{
"help": "",
"name": "NDWI Raw with Cloud Mask",
"description": "The NDWI index is computed as Green(Band03)-NIR(Band05)/ Green(Band03)+NIR(Band05) and is most suitable for mapping of water bodies, droughts, boundary evaluation. Water bodies have strong absorbability and low radiation within the visible to infrared spectral ranges and this index is based on this phenomenon. Also includes a cloud mask."
},
{
"help": "",
"name": "NDWI Raw",
"description": "The NDWI index is computed as Green(Band03)-NIR(Band05)/ Green(Band03)+NIR(Band05) and is most suitable for mapping of water bodies, droughts, boundary evaluation. Water bodies have strong absorbability and low radiation within the visible to infrared spectral ranges and this index is based on this phenomenon."
},
{
"help": "",
"name": "Natural Color with Cloud Mask",
"description": "Natural Color bands red, green, blue(4, 3, 2) displayed with fixed stretch and cloud mask applied."
},
{
"help": "",
"name": "Natural Color with DRA and Cloud Mask",
"description": "Natural Color bands red, green, blue (4, 3, 2) displayed with dynamic range adjustment and cloud mask applied."
},
{
"help": "",
"name": "Natural Color with DRA",
"description": "Natural Color bands red, green, blue (4, 3, 2) displayed with dynamic range adjustment applied."
},
{
"help": "",
"name": "Normalized Burn Ratio (NBR) with Cloud Mask",
"description": "The NBR index is computed as NIR(Band05)-SWIR(Band7)/NIR(Band05)+SWIR(Band7) and appropriate for highlighting burned areas and estimating fire severity. It highlights burnt areas in fire zones greater than 500 acres. You will need to generate a differenced NBR image by subtracting a post-fire image from a pre-fire image. The resulting darker pixels represent burned areas. This index also contains a cloud mask."
},
{
"help": "",
"name": "Normalized Burn Ratio",
"description": "The NBR index is computed as NIR(Band05)-SWIR(Band7)/NIR(Band05)+SWIR(Band7) and appropriate for highlighting burned areas and estimating fire severity. It highlights burnt areas in fire zones greater than 500 acres. You will need to generate a differenced NBR image by subtracting a post-fire image from a pre-fire image. The resulting darker pixels represent burned areas."
},
{
"help": "",
"name": "Normalized Difference Built-Up Index (NDBI) with Cloud Mask",
"description": "The NDBI index is computed as SWIR(Band6)-NIR(Band05)/ SWIR(Band6)+NIR(Band05) and is suitable for watershed runoff predictions, tracking urbananisation and land-use planning. It highlights urban areas with higher reflectance in the SWIR region, compared to the NIR region. This index also contains a cloud mask."
},
{
"help": "",
"name": "Normalized Difference Built-Up Index (NDBI)",
"description": "The NDBI index is computed as SWIR(Band6)-NIR(Band05)/ SWIR(Band6)+NIR(Band05) and is suitable for watershed runoff predictions, tracking urbananisation and land-use planning. It highlights urban areas with higher reflectance in the SWIR region, compared to the NIR region."
},
{
"help": "",
"name": "Short-wave Infrared with Cloud Mask",
"description": "Bands shortwave infrared-2, shortwave infrared-1, red (7, 6, 4) with fixed stretch and cloud mask applied."
},
{
"help": "",
"name": "Short-wave Infrared with DRA and Cloud Mask",
"description": "Bands shortwave infrared-2, shortwave infrared-1, red (7, 6, 4) with dynamic range adjustment and cloud mask applied."
},
{
"help": "",
"name": "Short-wave Infrared with DRA",
"description": "Bands shortwave infrared-2, shortwave infrared-1, red (7, 6, 4) with dynamic range adjustment applied."
},
{
"help": "",
"name": "Short-wave Infrared",
"description": "Bands shortwave infrared-2, shortwave infrared-1, red (7, 6, 4) with fixed stretch."
},
{
"help": "",
"name": "None",
"description": "Make a Raster or Raster Dataset into a Function Raster Dataset."
}
]}
Mensuration Capabilities:
Inspection Capabilities:
Has Histograms: false
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text: The HLS project is funded by NASA’s Satellite Needs Working Group (SNWG) which provides data products developed to meet the needs of stakeholders from US government agencies in cooperation with the Interagency Implementation and Advanced Concepts Team, NASA (NASA/IMPACT)
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: 0, 0, 0, 0, 0, 0, 0, 0, 0, 2500, 2500
Max Values: 3000, 3000, 3000, 3000, 3000, 3000, 3000, 3000, 255, 3400, 3400
Mean Values: 1000, 1000, 1000, 1000, 1000, 1000, 1000, 1000, 128, 3000, 3000
Standard Deviation Values: 800, 800, 800, 800, 800, 800, 800, 800, 64, 200, 200
Object ID Field: objectid
Fields:
-
objectid
(
alias: objectid
, type: esriFieldTypeOID
)
-
name
(
length: 200
, alias: name
, type: esriFieldTypeString
)
-
minps
(
alias: minps
, type: esriFieldTypeDouble
)
-
maxps
(
alias: maxps
, type: esriFieldTypeDouble
)
-
lowps
(
alias: lowps
, type: esriFieldTypeDouble
)
-
highps
(
alias: highps
, type: esriFieldTypeDouble
)
-
category
(
alias: category
, type: esriFieldTypeInteger
, Coded Values:
[0: Unknown]
, [1: Primary]
, [2: Overview]
, ...6 more...
)
-
tag
(
length: 100
, alias: tag
, type: esriFieldTypeString
)
-
groupname
(
length: 100
, alias: groupname
, type: esriFieldTypeString
)
-
productname
(
length: 100
, alias: productname
, type: esriFieldTypeString
)
-
centerx
(
alias: centerx
, type: esriFieldTypeDouble
)
-
centery
(
alias: centery
, type: esriFieldTypeDouble
)
-
zorder
(
alias: zorder
, type: esriFieldTypeInteger
)
-
shape
(
alias: shape
, type: esriFieldTypeGeometry
)
-
tileid
(
length: 16
, alias: tileid
, type: esriFieldTypeString
)
-
cloudcover
(
alias: cloudcover
, type: esriFieldTypeDouble
)
-
best
(
alias: best
, type: esriFieldTypeInteger
)
-
dayofyear
(
alias: dayofyear
, type: esriFieldTypeSmallInteger
)
-
month
(
alias: month
, type: esriFieldTypeSmallInteger
)
-
acquisitiondate
(
length: 8
, alias: acquisitiondate
, type: esriFieldTypeDate
)
-
conceptid
(
length: 40
, alias: conceptid
, type: esriFieldTypeString
)
-
revisionid
(
alias: revisionid
, type: esriFieldTypeInteger
)
-
spatialcoverage
(
alias: spatialcoverage
, type: esriFieldTypeSmallInteger
)
-
sunzenith
(
alias: sunzenith
, type: esriFieldTypeDouble
)
-
sunazimuth
(
alias: sunazimuth
, type: esriFieldTypeDouble
)
-
viewzenith
(
alias: viewzenith
, type: esriFieldTypeDouble
)
-
viewazimuth
(
alias: viewazimuth
, type: esriFieldTypeDouble
)
-
st_area(shape)
(
alias: st_area(shape)
, type: esriFieldTypeDouble
)
-
st_perimeter(shape)
(
alias: st_perimeter(shape)
, type: esriFieldTypeDouble
)
Default Mosaic Method: ByAttribute
Allowed Mosaic Methods: ByAttribute,NorthWest,Center,LockRaster,Nadir,Viewpoint,Seamline,None
SortField: best
SortValue: 0
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: 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
Statistics
Key Properties
Legend
Raster Function Infos
Supported Operations:
Export Image
Query
Identify
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