View In:
ArcGIS JavaScript
ArcGIS Online Map Viewer
ArcGIS Earth
Service Description: Harmonized Landsat Sentinel-2 Surface Reflectance 30m - Landsat Multiband Mode
Name: nasa_lp_daac/HLSL30_v2_Service
Description:
Single Fused Map Cache: false
Extent:
XMin: -179.99999999999997
YMin: -54.23616219099992
XMax: 180.0
YMax: 89.99999104300008
Spatial Reference: 4326
(4326)
LatestVCSWkid(0)
Initial Extent:
XMin: -179.99999999999997
YMin: -54.23616219099992
XMax: 180.0
YMax: 89.99999104300008
Spatial Reference: 4326
(4326)
LatestVCSWkid(0)
Full Extent:
XMin: -179.99999999999997
YMin: -54.23616219099992
XMax: 180.0
YMax: 89.99999104300008
Spatial Reference: 4326
(4326)
LatestVCSWkid(0)
Time Info:
Start Time Field: AcquisitionDate
End Time Field: null
Time Extent:
[2026/03/22 07:58:30 UTC, 2026/07/22 07:58:30 UTC]
Time Reference:
N/A
Pixel Size X: 2.694939577208896E-4
Pixel Size Y: 2.69494E-4
Band Count: 11
Pixel Type: S16
RasterFunction Infos: {"rasterFunctionInfos": [
{
"name": "Natural Color",
"description": "Natural Color bands red, green, blue(4, 3, 2) displayed with fixed stretch applied.",
"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": "None",
"description": "Make a Raster or Raster Dataset into a Function Raster Dataset.",
"help": ""
}
]}
Mensuration Capabilities: None
Inspection 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: N/A
Max Values: N/A
Mean Values: N/A
Standard Deviation Values: N/A
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
)
-
cloudcover
(
type: esriFieldTypeDouble, alias: Cloud cover percentage from CMR UMM-G metadata
)
-
daynight
(
type: esriFieldTypeString, alias: Day or Night acquisition flag from CMR, length: 10
)
-
tileid
(
type: esriFieldTypeString, alias: MGRS tile identifier extracted from filename (e.g., T11SKA), length: 10
)
-
processinglevel
(
type: esriFieldTypeString, alias: Processing level (static value L30 for Landsat), length: 5
)
-
acquisitiondate
(
type: esriFieldTypeDate, alias: Acquisition Date, length: 8
)
-
st_area(shape)
(
type: esriFieldTypeDouble, alias: st_area(shape)
)
-
st_perimeter(shape)
(
type: esriFieldTypeDouble, alias: st_perimeter(shape)
)
Default Mosaic Method: ByAttribute
Allowed Mosaic Methods: ByAttribute,NorthWest,Center,LockRaster,Nadir,Viewpoint,Seamline,None
SortField: AcquisitionDate
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: null
Ownership Based AccessControl For Rasters: null
Child Resources:
Info
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 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