Sentinel-2 Views
Global Sentinel-2 Level-1C multispectral imagery. This Imagery Layer is sourced from the Sentinel-2 on AWS collections and is updated daily with new imagery.
Sentinel-2 Level-1C imagery with on-the-fly renderings for visualization. This imagery layer pulls directly from the Sentinel-2 on AWS collection and is updated daily with new imagery.
Sentinel-2 imagery can be applied across a number of industries, scientific disciplines, and management practices. Some applications include, but are not limited to, land cover and environmental monitoring, climate change, deforestation, disaster and emergency management, national security, plant health and precision agriculture, forest monitoring, watershed analysis and runoff predictions, land-use planning, tracking urban expansion, highlighting burned areas and estimating fire severity.
Geographic Coverage
- Global
- Continental land masses from 65.4° South to 72.1° North, with these special guidelines:
- All coastal waters up to 20 km from the shore
- All islands greater than 100 km2
- All EU islands
- All closed seas (e.g. Caspian Sea)
- The Mediterranean Sea
Temporal Coverage
- This layer includes a rolling collection of Sentinel-2 imagery acquired within the past 14 months.
- This layer is updated daily with new imagery.
- The revisit time for each point on Earth is every 5 days.
- The number of images available will vary depending on location.
Product Level
- This service provides Level-1C Top of Atmosphere imagery.
- Alternatively, Sentinel-2 Level-2A is also available.
Image Selection/Filtering
- The most recent and cloud free images are displayed by default.
- Any image available within the past 14 months can be displayed via custom filtering.
- Filtering can be done based on attributes such as Acquisition Date, Estimated Cloud Cover, and Tile ID.
- Tile_ID is computed as [year][month][day]T[hours][minutes][seconds]_[UTMcode][latitudeband][square]_[sequence]. More…
Visual Rendering
- Default rendering is Natural Color (bands 4,3,2) with Dynamic Range Adjustment (DRA).
- The DRA version of each layer enables visualization of the full dynamic range of the images.
- Rendering (or display) of band combinations and calculated indices is done on-the-fly from the source images via Raster Functions.
- Various pre-defined Raster Functions can be selected or custom functions created.
- Available renderings include: Agriculture with DRA, Bathymetric with DRA, Color-Infrared with DRA, Natural Color with DRA, Short-wave Infrared with DRA, Geology with DRA, NDMI Colorized, Normalized Difference Built-Up Index (NDBI), NDWI Raw, NDWI - with VRE Raw, NDVI – with VRE Raw (NDRE), NDVI - VRE only Raw, NDVI Raw, Normalized Burn Ratio, NDVI Colormap.
Multispectral Bands
Band
Description
Wavelength (µm)
Resolution (m)
1
Coastal aerosol
0.433 - 0.453
60
2
Blue
0.458 - 0.523
10
3
Green
0.543 - 0.578
10
4
Red
0.650 - 0.680
10
5
Vegetation Red Edge
0.698 - 0.713
20
6
Vegetation Red Edge
0.733 - 0.748
20
7
Vegetation Red Edge
0.773 - 0.793
20
8
NIR
0.785 - 0.900
10
8A
Narrow NIR
0.855 - 0.875
20
9
Water vapour
0.935 - 0.955
60
10
SWIR – Cirrus
1.365 - 1.385
60
11
SWIR-1
1.565 - 1.655
20
12
SWIR-2
2.100 - 2.280
20
Additional Notes
- Overviews exist with a spatial resolution of 150m and are updated every quarter based on the best and latest imagery available at that time.
- To work with source images at all scales, the ‘Lock Raster’ functionality is available.
- NOTE: ‘Lock Raster’ should only be used on the layer for short periods of time, as the imagery and associated record Object IDs may change daily.
- This ArcGIS Server dynamic imagery layer can be used in Web Maps and ArcGIS Desktop as well as Web and Mobile applications using the REST based Image services API.
- Images can be exported up to a maximum of 4,000 columns x 4,000 rows per request.
Data Source
Sentinel-2 imagery is the result of close collaboration between the (European Space Agency) ESA, the European Commission and USGS. Data is hosted by the Amazon Web Services as part of their Registry of Open Data. Users can access the imagery from Sentinel-2 on AWS, or alternatively access EarthExplorer or the Copernicus Data Space Ecosystem to download the scenes.
For information on Sentinel-2 imagery, see Sentinel-2.
Datasets available for download
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Sentinel2Layer
Layer None via ArcGIS REST API
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Sentinel2 (Explore)HTML
Explore Sentinel2 on ArcGIS Hub
-
Image ServiceHTML
Linked dataset resource
Additional Info
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| Last Updated | March 24, 2026, 21:08 (UTC) |
| Created | March 24, 2026, 21:08 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Title
Title for the Dataset.
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Sentinel-2 Views |
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Description
A description of the dataset.
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Global Sentinel-2 Level-1C multispectral imagery. This Imagery Layer is sourced from the Sentinel-2 on AWS collections and is updated daily with new imagery. Sentinel-2 Level-1C imagery with on-the-fly renderings for visualization. This imagery layer pulls directly from the Sentinel-2 on AWS collection and is updated daily with new imagery. Sentinel-2 imagery can be applied across a number of industries, scientific disciplines, and management practices. Some applications include, but are not limited to, land cover and environmental monitoring, climate change, deforestation, disaster and emergency management, national security, plant health and precision agriculture, forest monitoring, watershed analysis and runoff predictions, land-use planning, tracking urban expansion, highlighting burned areas and estimating fire severity. Geographic Coverage
Temporal Coverage
Product Level
Image Selection/Filtering
Visual Rendering
Multispectral Bands Band Description Wavelength (µm) Resolution (m) 1 Coastal aerosol 0.433 - 0.453 60 2 Blue 0.458 - 0.523 10 3 Green 0.543 - 0.578 10 4 Red 0.650 - 0.680 10 5 Vegetation Red Edge 0.698 - 0.713 20 6 Vegetation Red Edge 0.733 - 0.748 20 7 Vegetation Red Edge 0.773 - 0.793 20 8 NIR 0.785 - 0.900 10 8A Narrow NIR 0.855 - 0.875 20 9 Water vapour 0.935 - 0.955 60 10 SWIR – Cirrus 1.365 - 1.385 60 11 SWIR-1 1.565 - 1.655 20 12 SWIR-2 2.100 - 2.280 20 Additional Notes
Data Source Sentinel-2 imagery is the result of close collaboration between the (European Space Agency) ESA, the European Commission and USGS. Data is hosted by the Amazon Web Services as part of their Registry of Open Data. Users can access the imagery from Sentinel-2 on AWS, or alternatively access EarthExplorer or the Copernicus Data Space Ecosystem to download the scenes. For information on Sentinel-2 imagery, see Sentinel-2. |
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Tags / Keywords
Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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Dataset Size
Dataset size in megabytes.
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0.07 |
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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2018-05-02 |
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Time Period Data Span (start date)
Start date of the data in the dataset.
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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public |
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License
License used to access the dataset.
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This work is licensed under the Esri Master License Agreement. View Summary | View Terms of Use |
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Limits on use
Limits on use of data.
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Location
Location of the dataset.
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https://climate.esri.ca/datasets/esri::sentinel-2-views |
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Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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esri |
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Contact Point
Who to contact regarding access?
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Esri |
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Contact Point Email
The email to contact regarding access?
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Publisher
Publisher of the dataset.
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Esri |
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Publisher Email
Email of the publisher.
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Author
Author of the dataset.
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esri |
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Author Email
Email of the author.
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Accessed At
Date the data and metadata was accessed.
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2025-09-02 |
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Identifier
Unique identifier for the dataset.
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fd61b9e0c69c4e14bebd50a9a968348c |
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Language
Language(s) of the dataset
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English |
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Link to dataset description
A URL to an external document describing the dataset.
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https://climate.esri.ca/datasets/esri::sentinel-2-views |
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Persistent Identifier
Data is identified by a persistent identifier.
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Contains data about individuals
Does the data hold data about individuals?
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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None |
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Version notes
Version notes about the dataset.
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Is version of another dataset
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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Provenance Text
Provenance Text of the data.
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Esri |
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
If tabular dataset, total number of rows.
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4950685 |
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Number of data columns
If tabular dataset, total number of unique columns.
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26 |
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Number of data cells
If tabular dataset, total number of cells with data.
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128717810 |
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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Data quality
Describes the quality of the data in the dataset.
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
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