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Service Description: A representation of the confidence associated with the WTR classification that is based on a combination of Diagnostic Layer (DIAG) results and quality assurance information provided with the input HLS data. For example, the Open water class of the WTR layer is split into two classes: High Confidence and Moderate Confidence while WTR Partial surface water Class pixels of WTR are flagged as either Partial surface water Conservative or Partial surface water Aggressive, with the latter exhibiting less certainty. As in the WTR layers, pixels for which water retrievals are difficult or impossible due to HLS snow/ice, HLS cloud/shadow, or fill values are also noted in the CONF layer.
This dataset contains Level-3 Dynamic OPERA surface water extent product version 1. The data are validated surface water extent observations beginning April 2023. Known issues and caveats on usage are described in the Product Documentation. The input dataset for generating each product is the Harmonized Landsat-8 and Sentinel-2A/B/C (HLS) product version 2.0. HLS products provide surface reflectance (SR) data from the Operational Land Imager (OLI) aboard the Landsat 8 satellite and the MultiSpectral Instrument (MSI) aboard the Sentinel-2A/B/C satellite. The surface water extent products are distributed over projected map coordinates using the Universal Transverse Mercator (UTM) projection. Each UTM tile covers an area of 109.8 km × 109.8 km. This area is divided into 3,660 rows and 3,660 columns at 30-m pixel spacing. This EGIS service offers access to the confidence data layer.
More information about the dataset is available at https://www.earthdata.nasa.gov/data/catalog/pocloud-opera-l3-dswx-hls-v1-1.0
OPERA was informed by the Satellite Needs Working Group (SNWG), an interagency effort of the U.S. Government dedicated to identifying and addressing Earth observation needs across U.S. civilian federal agencies.
For questions about this service, please contact podaac@podaac.jpl.nasa.gov
Name: C2617126679-POCLOUD/OPERA_L3_DSWX-HLS_V1_B03_CONF
Description: A representation of the confidence associated with the WTR classification that is based on a combination of Diagnostic Layer (DIAG) results and quality assurance information provided with the input HLS data. For example, the Open water class of the WTR layer is split into two classes: High Confidence and Moderate Confidence while WTR Partial surface water Class pixels of WTR are flagged as either Partial surface water Conservative or Partial surface water Aggressive, with the latter exhibiting less certainty. As in the WTR layers, pixels for which water retrievals are difficult or impossible due to HLS snow/ice, HLS cloud/shadow, or fill values are also noted in the CONF layer.
This dataset contains Level-3 Dynamic OPERA surface water extent product version 1. The data are validated surface water extent observations beginning April 2023. Known issues and caveats on usage are described in the Product Documentation. The input dataset for generating each product is the Harmonized Landsat-8 and Sentinel-2A/B/C (HLS) product version 2.0. HLS products provide surface reflectance (SR) data from the Operational Land Imager (OLI) aboard the Landsat 8 satellite and the MultiSpectral Instrument (MSI) aboard the Sentinel-2A/B/C satellite. The surface water extent products are distributed over projected map coordinates using the Universal Transverse Mercator (UTM) projection. Each UTM tile covers an area of 109.8 km × 109.8 km. This area is divided into 3,660 rows and 3,660 columns at 30-m pixel spacing. This EGIS service offers access to the confidence data layer.
More information about the dataset is available at https://www.earthdata.nasa.gov/data/catalog/pocloud-opera-l3-dswx-hls-v1-1.0
OPERA was informed by the Satellite Needs Working Group (SNWG), an interagency effort of the U.S. Government dedicated to identifying and addressing Earth observation needs across U.S. civilian federal agencies.
For questions about this service, please contact podaac@podaac.jpl.nasa.gov
Single Fused Map Cache: false
Extent:
XMin: -2.00375070672E7
YMin: -1.09076623803E7
XMax: 2.0037507842788246E7
YMax: 1.85446576197E7
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Initial Extent:
XMin: -2.00375070672E7
YMin: -1.09076623803E7
XMax: 2.0037507842788246E7
YMax: 1.85446576197E7
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Full Extent:
XMin: -2.00375070672E7
YMin: -1.09076623803E7
XMax: 2.0037507842788246E7
YMax: 1.85446576197E7
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Time Info:
Start Time Field: DateTime
End Time Field: null
Time Extent:
[2023/01/01 00:29:59 UTC, 2026/06/27 23:59:45 UTC]
Time Reference:
N/A
Pixel Size X: 29.99999618963752
Pixel Size Y: 30.0
Band Count: 1
Pixel Type: U8
RasterFunction Infos: {"rasterFunctionInfos": [
{
"name": "OPERA_L3_DSWX-HLS_V1_B03_CONF",
"description": "OPERA_L3_DSWX-HLS_V1_B03_CONF water confidence classification.",
"help": ""
},
{
"name": "None",
"description": "Make a Raster or Raster Dataset into a Function Raster Dataset.",
"help": ""
}
]}
Mensuration Capabilities: Basic
Inspection Capabilities:
Has Histograms: false
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Resampling: false
Copyright Text: Observational Products for End-Users from Remote Sensing Analysis (OPERA) Project, National Aeronautics and Space Administration (NASA), Jet Propulsion Laboratory (JPL), California Institute of Technology, Physical Oceanography Distributed Active Archive Center (PO.DAAC).
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
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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...
)
-
centerx
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type: esriFieldTypeDouble, alias: centerx
)
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centery
(
type: esriFieldTypeDouble, alias: centery
)
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shape
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type: esriFieldTypeGeometry, alias: shape
)
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processingdate
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type: esriFieldTypeString, alias: ProcessingDate, length: 255
)
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tileid
(
type: esriFieldTypeString, alias: TileID, length: 8000
)
-
datetime
(
type: esriFieldTypeDate, alias: DateTime, length: 8
)
-
productgenerationdatetime
(
type: esriFieldTypeString, alias: ProductGenerationDateTime, length: 8000
)
-
cloud_coverage
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type: esriFieldTypeInteger, alias: CLOUD_COVERAGE
)
-
spacecraft_name
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type: esriFieldTypeString, alias: SPACECRAFT_NAME, length: 8000
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-
downloadurl
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type: esriFieldTypeString, alias: DownloadURL, length: 8000
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urldisplay
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type: esriFieldTypeString, alias: URLDisplay, length: 8000
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Default Mosaic Method: ByAttribute
Allowed Mosaic Methods: ByAttribute,Center,NorthWest,Nadir,LockRaster,Seamline,None
SortField: DateTime
SortValue: 1/1/2050 12:00:00 AM
Mosaic Operator: First
Default Compression Quality: 75
Default Resampling Method: Nearest
Max Record Count: 1000
Max Image Height: 2048
Max Image Width: 2048
Max Download Image Count: 20
Max Mosaic Image Count: 100
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